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[null,"Salary variations participants excel survey"]
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[]
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[null,"Blue tabels contain filterd data that can be set below."]
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[null,"Main data filters"]
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[]
[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Select up to 10 country's from the list below to compare them in a graph. These country's will be saved, but can be adjusted at any time."]
[]
[]
[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Country selections"]
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[]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3,null,null,null,null,null,null,null,null,null,null,2,null,8,null,null,null,null,null,null,null,null,null,null,1]
[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4,null,null,null,null,null,null,null,null,null,null,5,null,9,null,null,null,null,null,null,null,null,null,null,1]
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[]
[]
[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Search your average worth (default in USD)"]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Job Type",null,null,null,null,null,null,null,null,null,1]
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[]
[]
[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Notes"]
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[]
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[{"$f":"AVERAGEIFS(Data!$O:$O,Data!$I:$I,B11)","v":45952.334217962802},"Misc.",{"$f":"IF(D$2=1,AVERAGEIF(Tabel!$A:$A,B11,Tabel!$B:$B),SUMIF(Tabel!$A:$A,B11,Tabel!$B:$B))","v":45952.334217962794},{"$f":"C11/IF(D$2=1,AVERAGEIF(tblSalaries[[#All],[Job Type]],B11,tblSalaries[[#All],[Salary in USD]]),SUMIF(tblSalaries[[#All],[Job Type]],B11,tblSalaries[[#All],[Salary in USD]]))","v":0.99999999999999989},null,null,null,null,1.1000000000000001,"1,1 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I11,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I11,Tabel!$B:$B)),0)","v":30273.458368652366},null,null,null,null,null,null,null,null,null,null,"Australia",{"$f":"AVERAGEIF(Data!$K:$K,V11,Data!$O:$O)","v":91468.576087096211},"Australia",null,null,null,null,null,null,null,"ID0067",86692.320794224041,null,null,null,null,30]
[{"$f":"AVERAGEIFS(Data!$O:$O,Data!$I:$I,B12)","v":16714.33256569094},"Reporting",{"$f":"IF(D$2=1,AVERAGEIF(Tabel!$A:$A,B12,Tabel!$B:$B),SUMIF(Tabel!$A:$A,B12,Tabel!$B:$B))","v":16714.332565690933},{"$f":"C12/IF(D$2=1,AVERAGEIF(tblSalaries[[#All],[Job Type]],B12,tblSalaries[[#All],[Salary in USD]]),SUMIF(tblSalaries[[#All],[Job Type]],B12,tblSalaries[[#All],[Salary in USD]]))","v":0.85389788470692463},null,null,null,null,1.5,"1,5 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I12,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I12,Tabel!$B:$B)),0)","v":41557.113734582294},null,null,null,null,null,null,null,null,null,null,"Austria",{"$f":"AVERAGEIF(Data!$K:$K,V12,Data!$O:$O)","v":50815.977559664309},"Europe",null,null,null,null,null,null,null,"ID0073",101990.96564026357,null,null,null,null,66]
[{"$f":"AVERAGEIFS(Data!$O:$O,Data!$I:$I,B13)","v":49587.683161049063},"Specialist",{"$f":"IF(D$2=1,AVERAGEIF(Tabel!$A:$A,B13,Tabel!$B:$B),SUMIF(Tabel!$A:$A,B13,Tabel!$B:$B))","v":49587.683161049084},{"$f":"C13/IF(D$2=1,AVERAGEIF(tblSalaries[[#All],[Job Type]],B13,tblSalaries[[#All],[Salary in USD]]),SUMIF(tblSalaries[[#All],[Job Type]],B13,tblSalaries[[#All],[Salary in USD]]))","v":0.82904566957342696},null,null,null,null,1.6,"1,6 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I13,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I13,Tabel!$B:$B)),0)","v":4273.9000049862161},null,null,null,null,null,null,null,null,null,null,"Azerbaijan",{"$f":"AVERAGEIF(Data!$K:$K,V13,Data!$O:$O)","v":36000},"Asia",null,null,null,null,null,null,null,"ID0534",61194.579384158147,null,null,null,null,43]
[null,null,null,null,null,null,null,null,2,"2 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I14,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I14,Tabel!$B:$B)),0)","v":26651.441518756663},null,null,null,null,null,null,null,null,null,null,"Baltic",{"$f":"AVERAGEIF(Data!$K:$K,V14,Data!$O:$O)","v":8400},"Europe",null,null,null,null,null,null,null,"ID0543",86692.320794224041]
[null,null,null,null,null,null,null,null,2.4,"2,4 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I15,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I15,Tabel!$B:$B)),0)","v":10150.512511842264},null,null,null,null,null,null,null,null,null,null,"Bangladesh",{"$f":"AVERAGEIF(Data!$K:$K,V15,Data!$O:$O)","v":10299.008645025993},"Asia",null,null,null,null,null,null,null,"ID0556",78533.043543002947]
[null,null,null,null,null,null,null,null,2.5,"2,5 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I16,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I16,Tabel!$B:$B)),0)","v":28696.851104181707},null,null,null,null,null,null,null,null,null,null,"Belgium",{"$f":"AVERAGEIF(Data!$K:$K,V16,Data!$O:$O)","v":41707.21358209449},"Europe",null,null,null,null,null,null,null,"ID0568",95000]
[null,null,null,null,null,null,null,null,3,"3 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I17,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I17,Tabel!$B:$B)),0)","v":30806.981394142807},null,null,null,null,null,null,null,null,null,null,"Bermuda",{"$f":"AVERAGEIF(Data!$K:$K,V17,Data!$O:$O)","v":78000},"North America",null,null,null,null,null,null,null,"ID0569",158085.99674240855]
[null,null,null,null,null,null,null,null,3.5,"3,5 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I18,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I18,Tabel!$B:$B)),0)","v":15957.120317408306},null,null,null,null,null,null,null,null,null,null,"Bhutan",{"$f":"AVERAGEIF(Data!$K:$K,V18,Data!$O:$O)","v":4800},"Asia",null,null,null,null,null,null,null,"ID0581",132588.25533234264]
[null,null,null,null,null,null,null,null,4,"4 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I19,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I19,Tabel!$B:$B)),0)","v":30723.669528656388},null,null,null,null,null,null,null,null,null,null,"Bolivia",{"$f":"AVERAGEIF(Data!$K:$K,V19,Data!$O:$O)","v":9600},"South America",null,null,null,null,null,null,null,"ID0585",104030.78495306884]
[null,null,null,null,null,null,null,null,4.5,"4,5 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I20,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I20,Tabel!$B:$B)),0)","v":15530.099742141367},null,null,null,null,null,null,null,null,null,null,"Brazil",{"$f":"AVERAGEIF(Data!$K:$K,V20,Data!$O:$O)","v":33302.143762457839},"South America",null,null,null,null,null,null,null,"ID0588",108110.42357867939]
[null,null,null,null,null,null,null,null,4.5999999999999996,"4,6 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I21,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I21,Tabel!$B:$B)),0)","v":18000},null,null,null,null,null,null,null,null,null,null,"Bulgaria",{"$f":"AVERAGEIF(Data!$K:$K,V21,Data!$O:$O)","v":14400},"Europe",null,null,null,null,null,null,null,"ID0609",101990.96564026357]
[null,null,null,null,null,null,null,null,5,"5 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I22,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I22,Tabel!$B:$B)),0)","v":36726.42940221788},null,null,null,null,null,null,null,null,null,null,"Cambodia",{"$f":"AVERAGEIF(Data!$K:$K,V22,Data!$O:$O)","v":3000},"Asia",null,null,null,null,null,null,null,"ID0623",86692.320794224041]
[null,null,null,null,null,null,null,null,5.5,"5,5 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I23,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I23,Tabel!$B:$B)),0)","v":71622.986316419425},null,null,null,null,null,null,null,null,null,null,"Canada",{"$f":"AVERAGEIF(Data!$K:$K,V23,Data!$O:$O)","v":66666.611999781177},"North America",null,null,null,null,null,null,null,"ID0626",101990.96564026357]
[null,null,null,null,null,null,null,null,5.6,"5,6 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I24,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I24,Tabel!$B:$B)),0)","v":39355.495879248076},null,null,null,null,null,null,null,null,null,null,"CEE",{"$f":"AVERAGEIF(Data!$K:$K,V24,Data!$O:$O)","v":87167.974754622352},"Europe",null,null,null,null,null,null,null,"ID0633",173384.64158844808]
[null,null,null,null,null,null,null,null,6,"6 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I25,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I25,Tabel!$B:$B)),0)","v":40675.937011282716},null,null,null,null,null,null,null,null,null,null,"Central America",{"$f":"AVERAGEIF(Data!$K:$K,V25,Data!$O:$O)","v":95000},"North America",null,null,null,null,null,null,null,"ID0635",79552.953199405587]
[null,null,null,null,null,null,null,null,6.4,"6,4 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I26,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I26,Tabel!$B:$B)),0)","v":6600},null,null,null,null,null,null,null,null,null,null,"China",{"$f":"AVERAGEIF(Data!$K:$K,V26,Data!$O:$O)","v":17046.090103460039},"Asia",null,null,null,null,null,null,null,"ID0681",101990.96564026357]
[null,null,null,null,null,null,null,null,6.5,"6,5 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I27,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I27,Tabel!$B:$B)),0)","v":17807.916687442568},null,null,null,null,null,null,null,null,null,null,"Colombia",{"$f":"AVERAGEIF(Data!$K:$K,V27,Data!$O:$O)","v":12362},"South America",null,null,null,null,null,null,null,"ID0725",130000]
[null,null,null,null,null,null,null,null,7,"7 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I28,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I28,Tabel!$B:$B)),0)","v":41261.047710161867},null,null,null,null,null,null,null,null,null,null,"Costa Rica",{"$f":"AVERAGEIF(Data!$K:$K,V28,Data!$O:$O)","v":28109.627547434993},"North America",null,null,null,null,null,null,null,"ID0769",96891.417358250401]
[null,null,null,null,null,null,null,null,7.3,"7,3 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I29,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I29,Tabel!$B:$B)),0)","v":8738},null,null,null,null,null,null,null,null,null,null,"Croatia",{"$f":"AVERAGEIF(Data!$K:$K,V29,Data!$O:$O)","v":43489.586535798582},"Europe",null,null,null,null,null,null,null,"ID0784",36000]
[null,null,null,null,null,null,null,null,7.9,"7,9 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I30,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I30,Tabel!$B:$B)),0)","v":9616.275011218986},null,null,null,null,null,null,null,null,null,null,"Czech Republic",{"$f":"AVERAGEIF(Data!$K:$K,V30,Data!$O:$O)","v":36000},"Europe",null,null,null,null,null,null,null,"ID0798",66294.12766617132]
[null,null,null,null,null,null,null,null,8,"8 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I31,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I31,Tabel!$B:$B)),0)","v":38276.912999815198},null,null,null,null,null,null,null,null,null,null,"Denmark",{"$f":"AVERAGEIF(Data!$K:$K,V31,Data!$O:$O)","v":82525.525402351297},"Europe",null,null,null,null,null,null,null,"ID0922",96891.417358250401]
[null,null,null,null,null,null,null,null,8.5,"8,5 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I32,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I32,Tabel!$B:$B)),0)","v":17807.916687442568},null,null,null,null,null,null,null,null,null,null,"Dominican Republic",{"$f":"AVERAGEIF(Data!$K:$K,V32,Data!$O:$O)","v":6629},"North America",null,null,null,null,null,null,null,"ID0964",81592.772512210868]
[null,null,null,null,null,null,null,null,9,"9 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I33,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I33,Tabel!$B:$B)),0)","v":45588.616325269177},null,null,null,null,null,null,null,null,null,null,"Dubai",{"$f":"AVERAGEIF(Data!$K:$K,V33,Data!$O:$O)","v":32166.959188895635},"Asia",null,null,null,null,null,null,null,"ID0965",96891.417358250401]
[null,null,null,null,null,null,null,null,10,"10 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I34,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I34,Tabel!$B:$B)),0)","v":56859.989000400521},null,null,null,null,null,null,null,null,null,null,"Egypt",{"$f":"AVERAGEIF(Data!$K:$K,V34,Data!$O:$O)","v":19831.432821021317},"Africa",null,null,null,null,null,null,null,"ID0966",91791.869076237213]
[null,null,null,null,null,null,null,null,11,"11 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I35,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I35,Tabel!$B:$B)),0)","v":41789.365614612623},null,null,null,null,null,null,null,null,null,null,"Estonia",{"$f":"AVERAGEIF(Data!$K:$K,V35,Data!$O:$O)","v":12000},"Europe",null,null,null,null,null,null,null,"ID0968",66294.12766617132]
[null,null,null,null,null,null,null,null,12,"12 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I36,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I36,Tabel!$B:$B)),0)","v":53915.881341739696},null,null,null,null,null,null,null,null,null,null,"Ethiopia",{"$f":"AVERAGEIF(Data!$K:$K,V36,Data!$O:$O)","v":2953.8461538461538},"Africa",null,null,null,null,null,null,null,"ID0969",101990.96564026357]
[null,null,null,null,null,null,null,null,13,"13 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I37,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I37,Tabel!$B:$B)),0)","v":43153.573628195722},null,null,null,null,null,null,null,null,null,null,"Europe",{"$f":"AVERAGEIF(Data!$K:$K,V37,Data!$O:$O)","v":97693.716858454631},"Europe",null,null,null,null,null,null,null,"ID0971",43856.11522531334]
[null,null,null,null,null,null,null,null,14,"14 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I38,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I38,Tabel!$B:$B)),0)","v":66229.681640507406},null,null,null,null,null,null,null,null,null,null,"Finland",{"$f":"AVERAGEIF(Data!$K:$K,V38,Data!$O:$O)","v":75389.415540034111},"Europe",null,null,null,null,null,null,null,"ID0972",45616]
[null,null,null,null,null,null,null,null,15,"15 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I39,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I39,Tabel!$B:$B)),0)","v":60720.897475510537},null,null,null,null,null,null,null,null,null,null,"France",{"$f":"AVERAGEIF(Data!$K:$K,V39,Data!$O:$O)","v":56952.725049143301},"Europe",null,null,null,null,null,null,null,"ID0974",57726.886552389187]
[null,null,null,null,null,null,null,null,16,"16 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I40,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I40,Tabel!$B:$B)),0)","v":56716.621042057457},null,null,null,null,null,null,null,null,null,null,"Germany",{"$f":"AVERAGEIF(Data!$K:$K,V40,Data!$O:$O)","v":79637.147017647643},"Europe",null,null,null,null,null,null,null,"ID0976",203981.93128052715]
[null,null,null,null,null,null,null,null,17,"17 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I41,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I41,Tabel!$B:$B)),0)","v":72467.491341087254},null,null,null,null,null,null,null,null,null,null,"Ghana",{"$f":"AVERAGEIF(Data!$K:$K,V41,Data!$O:$O)","v":18000},"Africa",null,null,null,null,null,null,null,"ID0977",50995.482820131787]
[null,null,null,null,null,null,null,null,18,"18 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I42,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I42,Tabel!$B:$B)),0)","v":53520.751864452352},null,null,null,null,null,null,null,null,null,null,"Greece",{"$f":"AVERAGEIF(Data!$K:$K,V42,Data!$O:$O)","v":30066.120056134718},"Europe",null,null,null,null,null,null,null,"ID0978",127488.70705032947]
[null,null,null,null,null,null,null,null,19,"19 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I43,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I43,Tabel!$B:$B)),0)","v":3200},null,null,null,null,null,null,null,null,null,null,"Guyana",{"$f":"AVERAGEIF(Data!$K:$K,V43,Data!$O:$O)","v":6000},"South America",null,null,null,null,null,null,null,"ID0979",66294.12766617132]
[null,null,null,null,null,null,null,null,20,"20 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I44,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I44,Tabel!$B:$B)),0)","v":71446.685643680437},null,null,null,null,null,null,null,null,null,null,"Hong Kong",{"$f":"AVERAGEIF(Data!$K:$K,V44,Data!$O:$O)","v":20000},"Asia",null,null,null,null,null,null,null,"ID0980",63234.398696963413]
[null,null,null,null,null,null,null,null,21,"21 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I45,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I45,Tabel!$B:$B)),0)","v":34243.034730186315},null,null,null,null,null,null,null,null,null,null,"Hungary",{"$f":"AVERAGEIF(Data!$K:$K,V45,Data!$O:$O)","v":24716.347245901055},"Europe",null,null,null,null,null,null,null,"ID0983",112190.06220428993]
[null,null,null,null,null,null,null,null,22,"22 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I46,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I46,Tabel!$B:$B)),0)","v":92196.154997066493},null,null,null,null,null,null,null,null,null,null,"Iceland",{"$f":"AVERAGEIF(Data!$K:$K,V46,Data!$O:$O)","v":41731},"Europe",null,null,null,null,null,null,null,"ID0984",71393.675948184507]
[null,null,null,null,null,null,null,null,23,"23 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I47,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I47,Tabel!$B:$B)),0)","v":31818.415543157054},null,null,null,null,null,null,null,null,null,null,"India",{"$f":"AVERAGEIF(Data!$K:$K,V47,Data!$O:$O)","v":13529.430894182477},"Asia",null,null,null,null,null,null,null,"ID0985",85000]
[null,null,null,null,null,null,null,null,25,"25 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I48,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I48,Tabel!$B:$B)),0)","v":81847.894522884468},null,null,null,null,null,null,null,null,null,null,"Indonesia",{"$f":"AVERAGEIF(Data!$K:$K,V48,Data!$O:$O)","v":28872.83679733074},"Asia",null,null,null,null,null,null,null,"ID0986",95871.50770184776]
[null,null,null,null,null,null,null,null,26,"26 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I49,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I49,Tabel!$B:$B)),0)","v":29200},null,null,null,null,null,null,null,null,null,null,"iran",{"$f":"AVERAGEIF(Data!$K:$K,V49,Data!$O:$O)","v":18000},"Asia",null,null,null,null,null,null,null,"ID0987",109130.33323508203]
[null,null,null,null,null,null,null,null,27,"27 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I50,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I50,Tabel!$B:$B)),0)","v":85535.826734747548},null,null,null,null,null,null,null,null,null,null,"Ireland",{"$f":"AVERAGEIF(Data!$K:$K,V50,Data!$O:$O)","v":61652.484774262724},"Europe",null,null,null,null,null,null,null,"ID0989",122389.15876831629]
[null,null,null,null,null,null,null,null,28,"28 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I51,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I51,Tabel!$B:$B)),0)","v":10684.750012465542},null,null,null,null,null,null,null,null,null,null,"Israel",{"$f":"AVERAGEIF(Data!$K:$K,V51,Data!$O:$O)","v":66840},"Asia",null,null,null,null,null,null,null,"ID0990",53035.30213293706]
[null,null,null,null,null,null,null,null,29,"29 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I52,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I52,Tabel!$B:$B)),0)","v":57951.979171860643},null,null,null,null,null,null,null,null,null,null,"italy",{"$f":"AVERAGEIF(Data!$K:$K,V52,Data!$O:$O)","v":47258.859130487806},"Europe",null,null,null,null,null,null,null,"ID0975",20000]
[null,null,null,null,null,null,null,null,30,"30 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I53,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I53,Tabel!$B:$B)),0)","v":73485.04577155583},null,null,null,null,null,null,null,null,null,null,"Japan",{"$f":"AVERAGEIF(Data!$K:$K,V53,Data!$O:$O)","v":67564.774036395989},"Asia",null,null,null,null,null,null,null,"ID0993",93831.688389042494]
[null,null,null,null,null,null,null,null,32,"32 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I54,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I54,Tabel!$B:$B)),0)","v":0},null,null,null,null,null,null,null,null,null,null,"Kenya",{"$f":"AVERAGEIF(Data!$K:$K,V54,Data!$O:$O)","v":51497.005988023957},"Africa",null,null,null,null,null,null,null,"ID0994",101990.96564026357]
[null,null,null,null,null,null,null,null,33,"33 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I55,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I55,Tabel!$B:$B)),0)","v":24000},null,null,null,null,null,null,null,null,null,null,"Kuwait",{"$f":"AVERAGEIF(Data!$K:$K,V55,Data!$O:$O)","v":42666.666666666664},"Asia",null,null,null,null,null,null,null,"ID0995",122389.15876831629]
[null,null,null,null,null,null,null,null,34,"34 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I56,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I56,Tabel!$B:$B)),0)","v":55166.239522354947},null,null,null,null,null,null,null,null,null,null,"Latin America",{"$f":"AVERAGEIF(Data!$K:$K,V56,Data!$O:$O)","v":4400},"South America",null,null,null,null,null,null,null,"ID1008",95871.50770184776]
[null,null,null,null,null,null,null,null,35,"35 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I57,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I57,Tabel!$B:$B)),0)","v":74267.395018382056},null,null,null,null,null,null,null,null,null,null,"Lesotho",{"$f":"AVERAGEIF(Data!$K:$K,V57,Data!$O:$O)","v":177600},"Africa",null,null,null,null,null,null,null,"ID1009",173384.64158844808]
[null,null,null,null,null,null,null,null,36,"36 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I58,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I58,Tabel!$B:$B)),0)","v":10684.750012465542},null,null,null,null,null,null,null,null,null,null,"Libya",{"$f":"AVERAGEIF(Data!$K:$K,V58,Data!$O:$O)","v":24864},"Africa",null,null,null,null,null,null,null,"ID1012",71393.675948184507]
[null,null,null,null,null,null,null,null,40,"40 year(s)",{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I59,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I59,Tabel!$B:$B)),0)","v":109729.60187662003},null,null,null,null,null,null,null,null,null,null,"Lithuania",{"$f":"AVERAGEIF(Data!$K:$K,V59,Data!$O:$O)","v":15000},"Europe",null,null,null,null,null,null,null,"ID1056",50995.482820131787]
[null,null,null,null,null,null,null,null,"Unknown",{"$f":"I60","v":"Unknown"},{"$f":"IFERROR(IF(K$2=1,AVERAGEIF(Tabel!$A:$A,I60,Tabel!$B:$B),SUMIF(Tabel!$A:$A,I60,Tabel!$B:$B)),0)","v":56560.689022472565},null,null,null,null,null,null,null,null,null,null,"Malaysia",{"$f":"AVERAGEIF(Data!$K:$K,V60,Data!$O:$O)","v":24996.133222785025},"Asia",null,null,null,null,null,null,null,"ID1237",152986.44846039536]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Mauritius",{"$f":"AVERAGEIF(Data!$K:$K,V61,Data!$O:$O)","v":9376.2513877177607},"Africa",null,null,null,null,null,null,null,"ID1255",81592.772512210868]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Mexico",{"$f":"AVERAGEIF(Data!$K:$K,V62,Data!$O:$O)","v":32138.498288519273},"North America",null,null,null,null,null,null,null,"ID1263",91791.869076237213]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Mongolia",{"$f":"AVERAGEIF(Data!$K:$K,V63,Data!$O:$O)","v":7261.724659606657},"Asia",null,null,null,null,null,null,null,"ID1264",112190.06220428993]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Montenegro",{"$f":"AVERAGEIF(Data!$K:$K,V64,Data!$O:$O)","v":13500},"Europe",null,null,null,null,null,null,null,"ID1268",101990.96564026357]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Morocco",{"$f":"AVERAGEIF(Data!$K:$K,V65,Data!$O:$O)","v":13745.704467353951},"Africa",null,null,null,null,null,null,null,"ID1270",43000]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Mozambique",{"$f":"AVERAGEIF(Data!$K:$K,V66,Data!$O:$O)","v":24000},"Africa",null,null,null,null,null,null,null,"ID1274",48955.663507326513]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Myanmar",{"$f":"AVERAGEIF(Data!$K:$K,V67,Data!$O:$O)","v":17700},"Asia",null,null,null,null,null,null,null,"ID0578",22438.012440857987]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"MYS",{"$f":"AVERAGEIF(Data!$K:$K,V68,Data!$O:$O)","v":12000},"Asia",null,null,null,null,null,null,null,"ID1306",69353.856635379227]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Netherlands",{"$f":"AVERAGEIF(Data!$K:$K,V69,Data!$O:$O)","v":64775.819540452634},"Europe",null,null,null,null,null,null,null,"ID1307",49975.573163729154]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"New Zealand",{"$f":"AVERAGEIF(Data!$K:$K,V70,Data!$O:$O)","v":70287.554967112796},"Australia",null,null,null,null,null,null,null,"ID1354",152986.44846039536]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Nigeria",{"$f":"AVERAGEIF(Data!$K:$K,V71,Data!$O:$O)","v":13494.896250642014},"Africa",null,null,null,null,null,null,null,"ID1356",101990.96564026357]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Norway",{"$f":"AVERAGEIF(Data!$K:$K,V72,Data!$O:$O)","v":99016.174371435307},"Europe",null,null,null,null,null,null,null,"ID1440",56095.031102144967]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Oman",{"$f":"AVERAGEIF(Data!$K:$K,V73,Data!$O:$O)","v":100800},"Asia",null,null,null,null,null,null,null,"ID1442",71393.675948184507]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Pakistan",{"$f":"AVERAGEIF(Data!$K:$K,V74,Data!$O:$O)","v":11873.552586779413},"Asia",null,null,null,null,null,null,null,"ID1456",87712.230450626681]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Panama",{"$f":"AVERAGEIF(Data!$K:$K,V75,Data!$O:$O)","v":44759.985974790194},"North America",null,null,null,null,null,null,null,"ID1475",127488.70705032947]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Paraguay",{"$f":"AVERAGEIF(Data!$K:$K,V76,Data!$O:$O)","v":20000},"South America",null,null,null,null,null,null,null,"ID1492",168285.09330643489]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Peru",{"$f":"AVERAGEIF(Data!$K:$K,V77,Data!$O:$O)","v":15840},"South America",null,null,null,null,null,null,null,"ID1498",75473.31457379504]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Philippines",{"$f":"AVERAGEIF(Data!$K:$K,V78,Data!$O:$O)","v":17479.292364753517},"Asia",null,null,null,null,null,null,null,"ID1537",86692.320794224041]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Poland",{"$f":"AVERAGEIF(Data!$K:$K,V79,Data!$O:$O)","v":34210.345381590014},"Europe",null,null,null,null,null,null,null,"ID1584",101990.96564026357]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Portugal",{"$f":"AVERAGEIF(Data!$K:$K,V80,Data!$O:$O)","v":32907.763410971682},"Europe",null,null,null,null,null,null,null,"ID1586",86692.320794224041]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Qatar",{"$f":"AVERAGEIF(Data!$K:$K,V81,Data!$O:$O)","v":53066.666666666664},"Asia",null,null,null,null,null,null,null,"ID1587",122389.15876831629]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Republic of Georgia",{"$f":"AVERAGEIF(Data!$K:$K,V82,Data!$O:$O)","v":5250},"Europe",null,null,null,null,null,null,null,"ID1659",85672.4111378214]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Republica Dominicana",{"$f":"AVERAGEIF(Data!$K:$K,V83,Data!$O:$O)","v":15404.364569961488},"North America",null,null,null,null,null,null,null,"ID1713",81592.772512210868]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Romania",{"$f":"AVERAGEIF(Data!$K:$K,V84,Data!$O:$O)","v":16449.976756585475},"Europe",null,null,null,null,null,null,null,"ID1738",61194.579384158147]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Russia",{"$f":"AVERAGEIF(Data!$K:$K,V85,Data!$O:$O)","v":55905.222222222219},"Europe",null,null,null,null,null,null,null,"ID1810",159105.90639881117]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Saudi Arabia",{"$f":"AVERAGEIF(Data!$K:$K,V86,Data!$O:$O)","v":35832.121212121208},"Asia",null,null,null,null,null,null,null,"ID1816",147886.90017838217]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Singapore",{"$f":"AVERAGEIF(Data!$K:$K,V87,Data!$O:$O)","v":52154.754053796576},"Asia",null,null,null,null,null,null,null,"ID1888",64254.308353366054]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Slovakia",{"$f":"AVERAGEIF(Data!$K:$K,V88,Data!$O:$O)","v":13000},"Europe",null,null,null,null,null,null,null,"ID1893",77819.106783521114]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Slovenia",{"$f":"AVERAGEIF(Data!$K:$K,V89,Data!$O:$O)","v":19055.991584874118},"Europe",null,null,null,null,null,null,null,"ID1901",122389.15876831629]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Somalia",{"$f":"AVERAGEIF(Data!$K:$K,V90,Data!$O:$O)","v":78000},"Africa",null,null,null,null,null,null,null,"ID1906",75473.31457379504]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"South Africa",{"$f":"AVERAGEIF(Data!$K:$K,V91,Data!$O:$O)","v":49555.624994016202},"Africa",null,null,null,null,null,null,null,"ID1358",50815.977559664309]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Spain",{"$f":"AVERAGEIF(Data!$K:$K,V92,Data!$O:$O)","v":46235.660112252495},"Europe",null,null,null,null,null,null,null,"ID1635",36000]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Sri Lanka",{"$f":"AVERAGEIF(Data!$K:$K,V93,Data!$O:$O)","v":22921.154792448855},"Asia",null,null,null,null,null,null,null,"ID1859",8400]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Sweden",{"$f":"AVERAGEIF(Data!$K:$K,V94,Data!$O:$O)","v":84477.260092140481},"Europe",null,null,null,null,null,null,null,"ID0398",17598.017290051986]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Switzerland",{"$f":"AVERAGEIF(Data!$K:$K,V95,Data!$O:$O)","v":137525.55715529469},"Europe",null,null,null,null,null,null,null,"ID1792",3000]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Thailand",{"$f":"AVERAGEIF(Data!$K:$K,V96,Data!$O:$O)","v":73000},"Asia",null,null,null,null,null,null,null,"ID0028",41160.941823328096]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Tunisia",{"$f":"AVERAGEIF(Data!$K:$K,V97,Data!$O:$O)","v":11000},"Africa",null,null,null,null,null,null,null,"ID1143",38111.983169748237]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Turkey",{"$f":"AVERAGEIF(Data!$K:$K,V98,Data!$O:$O)","v":48000},"Europe",null,null,null,null,null,null,null,"ID1298",38111.983169748237]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"UAE",{"$f":"AVERAGEIF(Data!$K:$K,V99,Data!$O:$O)","v":43014.900191685309},"Asia",null,null,null,null,null,null,null,"ID1703",49443.946165553374]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Uganda",{"$f":"AVERAGEIF(Data!$K:$K,V100,Data!$O:$O)","v":100000},"Africa",null,null,null,null,null,null,null,"ID0220",78000]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"UK",{"$f":"AVERAGEIF(Data!$K:$K,V101,Data!$O:$O)","v":63601.416284902713},"Europe",null,null,null,null,null,null,null,"ID0742",4800]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Ukraine",{"$f":"AVERAGEIF(Data!$K:$K,V102,Data!$O:$O)","v":11650},"Europe",null,null,null,null,null,null,null,"ID1524",9600]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Uruguay",{"$f":"AVERAGEIF(Data!$K:$K,V103,Data!$O:$O)","v":35000},"South America",null,null,null,null,null,null,null,"ID0063",61000]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"ID0192",28000]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"ID1840",57000]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"ID1874",63000]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"ID1875",63000]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"ID0341",29000]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"ID1891",46000]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"ID1898",43000]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"ID1900",48000]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"ID1855",29000]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"ID1910",62000]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"ID1911",48000]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"ID1920",50000]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"ID1922",115000]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"ID1930",40000]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"ID1931",46359]
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{"sheet":"mapping","index":2,"n_rows":137,"n_cols":20,"rows_kept":137,"cut":false,"hidden":false,"merged":[[0,2,0,4]]}
[null,null,"Mapping Sheet",null,null,null,null,null,"Source: Xrates on 6/21/2012","and xe.com"]
[null,null,"Currency Mapping",null,null,null,null,null,null,null,null,null,null,"Country Mapping",null,null,null,"Salary Range","Steps",12500]
[null,null,"Average Salary in USD","Currency","in USD",null,null,null,"Value of 1 American Dollar",null,null,null,null,"Actual","Mapping",null,null,"ID","Value (in USD)","From"]
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[null,null,{"$f":"AVERAGEIF(Data!F:F,tblXrate[[#This Row],[Currency]],Data!G:G)","v":12368.710509004446},"INR",{"$f":"1/INDEX($J$4:$J$64,MATCH(tblXrate[[#This Row],[Currency]],$K$4:$K$64,0))","v":1.7807916687442568E-2},null,null,null,"     Brazilian Real ",2.0231400000000002,"BRL",null,null,"Armenia","Armenia",null,null,3,{"$f":"TEXT(tblCountries4[[#This Row],[ID]],\"00\")&\" | \"&tblCountries4[[#This Row],[From]]&\" - \"&T8","v":"03 | 37500 - 50000"},37500]
[null,null,{"$f":"AVERAGEIF(Data!F:F,tblXrate[[#This Row],[Currency]],Data!G:G)","v":66677.249275682625},"GBP",{"$f":"1/INDEX($J$4:$J$64,MATCH(tblXrate[[#This Row],[Currency]],$K$4:$K$64,0))","v":1.5761782720672841},null,null,null,"     British Pound ",0.63444599999999995,"GBP",null,null,"Aruba","Aruba",null,null,4,{"$f":"TEXT(tblCountries4[[#This Row],[ID]],\"00\")&\" | \"&tblCountries4[[#This Row],[From]]&\" - \"&T9","v":"04 | 50000 - 62500"},50000]
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[null,null,{"$f":"AVERAGEIF(Data!F:F,tblXrate[[#This Row],[Currency]],Data!G:G)","v":10956.982885192734},"MXN",{"$f":"1/INDEX($J$4:$J$64,MATCH(tblXrate[[#This Row],[Currency]],$K$4:$K$64,0))","v":7.3046552567951561E-2},null,null,null,"     Chinese Yuan ",6.3609099999999996,"CNY",null,null,"Baltic","Baltic",null,null,9,{"$f":"TEXT(tblCountries4[[#This Row],[ID]],\"00\")&\" | \"&tblCountries4[[#This Row],[From]]&\" - \"&T14","v":"09 | 112500 - 125000"},112500]
[null,null,{"$f":"AVERAGEIF(Data!F:F,tblXrate[[#This Row],[Currency]],Data!G:G)","v":68954.520184280962},"SEK",{"$f":"1/INDEX($J$4:$J$64,MATCH(tblXrate[[#This Row],[Currency]],$K$4:$K$64,0))","v":0.14365525038391866},null,null,null,"     Colombian Peso ",1769.79,"COP",null,null,"Bangladesh","Bangladesh",null,null,10,{"$f":"TEXT(tblCountries4[[#This Row],[ID]],\"00\")&\" | \"&tblCountries4[[#This Row],[From]]&\" - \"&T15","v":"10 | 125000 - 137500"},125000]
[null,null,{"$f":"AVERAGEIF(Data!F:F,tblXrate[[#This Row],[Currency]],Data!G:G)","v":17598.017290051986},"BDT",{"$f":"1/INDEX($J$4:$J$64,MATCH(tblXrate[[#This Row],[Currency]],$K$4:$K$64,0))","v":1.2220845340313881E-2},null,null,null,"     Croatian Kuna ",5.9367099999999997,"HRK",null,null,"Belgium","Belgium",null,null,11,{"$f":"TEXT(tblCountries4[[#This Row],[ID]],\"00\")&\" | \"&tblCountries4[[#This Row],[From]]&\" - \"&T16","v":"11 | 137500 - 150000"},137500]
[null,null,{"$f":"AVERAGEIF(Data!F:F,tblXrate[[#This Row],[Currency]],Data!G:G)","v":28109.627547434993},"COSTARICAN",{"$f":"1/INDEX($J$4:$J$64,MATCH(tblXrate[[#This Row],[Currency]],$K$4:$K$64,0))","v":2.0078305391024996E-3},null,null,null,"     Danish Krone ",5.8512300000000002,"DKK",null,null,"Bermuda","Bermuda",null,null,12,{"$f":"TEXT(tblCountries4[[#This Row],[ID]],\"00\")&\" | \"&tblCountries4[[#This Row],[From]]&\" - \"&T17","v":"12 | 150000 - 162500"},150000]
[null,null,{"$f":"AVERAGEIF(Data!F:F,tblXrate[[#This Row],[Currency]],Data!G:G)","v":43779.087488630787},"ZAR",{"$f":"1/INDEX($J$4:$J$64,MATCH(tblXrate[[#This Row],[Currency]],$K$4:$K$64,0))","v":0.12192177986291114},null,null,null,"     Euro ",0.78715400000000002,"EUR",null,null,"Bhutan","Bhutan",null,null,13,{"$f":"TEXT(tblCountries4[[#This Row],[ID]],\"00\")&\" | \"&tblCountries4[[#This Row],[From]]&\" - \"&T18","v":"13 | 162500 - 175000"},162500]
[null,null,{"$f":"AVERAGEIF(Data!F:F,tblXrate[[#This Row],[Currency]],Data!G:G)","v":68526.110375557662},"NZD",{"$f":"1/INDEX($J$4:$J$64,MATCH(tblXrate[[#This Row],[Currency]],$K$4:$K$64,0))","v":0.79758809360493876},null,null,null,"     Hong Kong Dollar ",7.7588900000000001,"HKD",null,null,"Bolivia","Bolivia",null,null,14,{"$f":"TEXT(tblCountries4[[#This Row],[ID]],\"00\")&\" | \"&tblCountries4[[#This Row],[From]]&\" - \"&T19","v":"14 | 175000 - 187500"},175000]
[null,null,{"$f":"AVERAGEIF(Data!F:F,tblXrate[[#This Row],[Currency]],Data!G:G)","v":15092.18020692008},"CNY",{"$f":"1/INDEX($J$4:$J$64,MATCH(tblXrate[[#This Row],[Currency]],$K$4:$K$64,0))","v":0.15721021048875083},null,null,null,"     Hungarian Forint ",225.874,"HUF",null,null,"Brasil","Brazil",null,null,15,{"$f":"TEXT(tblCountries4[[#This Row],[ID]],\"00\")&\" | \"&tblCountries4[[#This Row],[From]]&\" - \"&T20","v":"15 | 187500 - 200000"},187500]
[null,null,{"$f":"AVERAGEIF(Data!F:F,tblXrate[[#This Row],[Currency]],Data!G:G)","v":19831.432821021317},"EGYPT",{"$f":"1/INDEX($J$4:$J$64,MATCH(tblXrate[[#This Row],[Currency]],$K$4:$K$64,0))","v":0.16526194017517765},null,null,null,"     Iceland Krona ",124.697,"ISK",null,null,"Brazil","Brazil",null,null,16,{"$f":"TEXT(tblCountries4[[#This Row],[ID]],\"00\")&\" | \"&tblCountries4[[#This Row],[From]]&\" - \"&T21","v":"16 | 200000 - 212500"},200000]
[null,null,{"$f":"AVERAGEIF(Data!F:F,tblXrate[[#This Row],[Currency]],Data!G:G)","v":10748.844375963021},"NAIRA",{"$f":"1/INDEX($J$4:$J$64,MATCH(tblXrate[[#This Row],[Currency]],$K$4:$K$64,0))","v":6.1633281972265025E-3},null,null,null,"     Indian Rupee ",56.154800000000002,"INR",null,null,"BRA","Brazil",null,null,17,{"$f":"TEXT(tblCountries4[[#This Row],[ID]],\"00\")&\" | \"&tblCountries4[[#This Row],[From]]&\" - \"&T22","v":"17 | 212500 - 225000"},212500]
[null,null,{"$f":"AVERAGEIF(Data!F:F,tblXrate[[#This Row],[Currency]],Data!G:G)","v":31228.988079520677},"AED",{"$f":"1/INDEX($J$4:$J$64,MATCH(tblXrate[[#This Row],[Currency]],$K$4:$K$64,0))","v":0.27221921268759308},null,null,null,"     Indonesian Rupiah ",9443.81,"IDR",null,null,"Bulgaria","Bulgaria",null,null,18,{"$f":"TEXT(tblCountries4[[#This Row],[ID]],\"00\")&\" | \"&tblCountries4[[#This Row],[From]]&\" - \"&T23","v":"18 | 225000 - 237500"},225000]
[null,null,{"$f":"AVERAGEIF(Data!F:F,tblXrate[[#This Row],[Currency]],Data!G:G)","v":61488.577162232956},"BRL",{"$f":"1/INDEX($J$4:$J$64,MATCH(tblXrate[[#This Row],[Currency]],$K$4:$K$64,0))","v":0.49428116689897877},null,null,null,"     Israeli New Shekel ",3.86721,"ILS",null,null,"Cambodia","Cambodia",null,null,19,{"$f":"TEXT(tblCountries4[[#This Row],[ID]],\"00\")&\" | \"&tblCountries4[[#This Row],[From]]&\" - \"&T24","v":"19 | 237500 - higher"},237500]
[null,null,{"$f":"AVERAGEIF(Data!F:F,tblXrate[[#This Row],[Currency]],Data!G:G)","v":18499.860539512854},"RON",{"$f":"1/INDEX($J$4:$J$64,MATCH(tblXrate[[#This Row],[Currency]],$K$4:$K$64,0))","v":0.28461323906942854},null,null,null,"     Japanese Yen ",78.904300000000006,"JPY",null,null,"Canada","Canada",null,null,null,null,"higher"]
[null,null,{"$f":"AVERAGEIF(Data!F:F,tblXrate[[#This Row],[Currency]],Data!G:G)","v":18493.233139873784},"MYR",{"$f":"1/INDEX($J$4:$J$64,MATCH(tblXrate[[#This Row],[Currency]],$K$4:$K$64,0))","v":0.31680056770661735},null,null,null,"     Kazakhstani Tenge ",148.88,"KZT",null,null,"Canad","Canada"]
[null,null,{"$f":"AVERAGEIF(Data!F:F,tblXrate[[#This Row],[Currency]],Data!G:G)","v":1805.7739622442759},"LKR",{"$f":"1/INDEX($J$4:$J$64,MATCH(tblXrate[[#This Row],[Currency]],$K$4:$K$64,0))","v":7.5240581760178168E-3},null,null,null,"     Kuwaiti Dinar ",0.27939999999999998,"KWD",null,null,"CEE","CEE"]
[null,null,{"$f":"AVERAGEIF(Data!F:F,tblXrate[[#This Row],[Currency]],Data!G:G)","v":72571.80269935554},"SGD",{"$f":"1/INDEX($J$4:$J$64,MATCH(tblXrate[[#This Row],[Currency]],$K$4:$K$64,0))","v":0.78882394238429931},null,null,null,"     Latvian Lat ",0.548489,"LVL",null,null,"Continental Europe","CEE"]
[null,null,{"$f":"AVERAGEIF(Data!F:F,tblXrate[[#This Row],[Currency]],Data!G:G)","v":66677.249275682625},"GBP",{"$f":"1/INDEX($J$4:$J$64,MATCH(tblXrate[[#This Row],[Currency]],$K$4:$K$64,0))","v":1.5761782720672841},null,null,null,"     Libyan Dinar ",1.9323999999999999,"LYD",null,null,"Central America","Central America"]
[null,null,{"$f":"AVERAGEIF(Data!F:F,tblXrate[[#This Row],[Currency]],Data!G:G)","v":15404.364569961488},"DOP",{"$f":"1/INDEX($J$4:$J$64,MATCH(tblXrate[[#This Row],[Currency]],$K$4:$K$64,0))","v":2.5673940949935813E-2},null,null,null,"     Lithuanian Litas ",2.7178800000000001,"LTL",null,null,"china","China"]
[null,null,{"$f":"AVERAGEIF(Data!F:F,tblXrate[[#This Row],[Currency]],Data!G:G)","v":18018.883790212141},"PLN",{"$f":"1/INDEX($J$4:$J$64,MATCH(tblXrate[[#This Row],[Currency]],$K$4:$K$64,0))","v":0.30031472983686902},null,null,null,"     Malaysian Ringgit ",3.1565599999999998,"MYR",null,null,"Colombia","Colombia"]
[null,null,{"$f":"AVERAGEIF(Data!F:F,tblXrate[[#This Row],[Currency]],Data!G:G)","v":51497.005988023957},"KENYA",{"$f":"1/INDEX($J$4:$J$64,MATCH(tblXrate[[#This Row],[Currency]],$K$4:$K$64,0))","v":1.1976047904191617E-2},null,null,null,"     Mauritius Rupee ",30.715900000000001,"MUR",null,null,"Colombia - South America","Colombia"]
[null,null,{"$f":"AVERAGEIF(Data!F:F,tblXrate[[#This Row],[Currency]],Data!G:G)","v":92288.288103526953},"DKK",{"$f":"1/INDEX($J$4:$J$64,MATCH(tblXrate[[#This Row],[Currency]],$K$4:$K$64,0))","v":0.17090423722875361},null,null,null,"     Mexican Peso ",13.6899,"MXN",null,null,"Costa Rica","Costa Rica"]
[null,null,{"$f":"AVERAGEIF(Data!F:F,tblXrate[[#This Row],[Currency]],Data!G:G)","v":5082.6943786459069},"IDR",{"$f":"1/INDEX($J$4:$J$64,MATCH(tblXrate[[#This Row],[Currency]],$K$4:$K$64,0))","v":1.0588946622178973E-4},null,null,null,"     Nepalese Rupee ",89.65,"NPR",null,null,"Croatia","Croatia"]
[null,null,{"$f":"AVERAGEIF(Data!F:F,tblXrate[[#This Row],[Currency]],Data!G:G)","v":7261.724659606657},"MONGOLIAN",{"$f":"1/INDEX($J$4:$J$64,MATCH(tblXrate[[#This Row],[Currency]],$K$4:$K$64,0))","v":7.5642965204236008E-4},null,null,null,"     New Zealand Dollar ",1.2537799999999999,"NZD",null,null,"europe/Croatia","Croatia"]
[null,null,{"$f":"AVERAGEIF(Data!F:F,tblXrate[[#This Row],[Currency]],Data!G:G)","v":50694.322109187968},"JPY",{"$f":"1/INDEX($J$4:$J$64,MATCH(tblXrate[[#This Row],[Currency]],$K$4:$K$64,0))","v":1.2673580527296991E-2},null,null,null,"     Norwegian Kroner ",5.9083800000000002,"NOK",null,null,"Czech Republic","Czech Republic"]
[null,null,{"$f":"AVERAGEIF(Data!F:F,tblXrate[[#This Row],[Currency]],Data!G:G)","v":71466.666666666657},"SAR",{"$f":"1/INDEX($J$4:$J$64,MATCH(tblXrate[[#This Row],[Currency]],$K$4:$K$64,0))","v":0.26666666666666666},null,null,null,"     Omani Rial ",0.38450000000000001,"OMR",null,null,"Denmark","Denmark"]
[null,null,{"$f":"AVERAGEIF(Data!F:F,tblXrate[[#This Row],[Currency]],Data!G:G)","v":13745.704467353951},"MAD",{"$f":"1/INDEX($J$4:$J$64,MATCH(tblXrate[[#This Row],[Currency]],$K$4:$K$64,0))","v":0.11454753722794959},null,null,null,"     Pakistan Rupee ",94.214399999999998,"PKR",null,null,"DK","Denmark"]
[null,null,{"$f":"AVERAGEIF(Data!F:F,tblXrate[[#This Row],[Currency]],Data!G:G)","v":9376.2513877177607},"MUR",{"$f":"1/INDEX($J$4:$J$64,MATCH(tblXrate[[#This Row],[Currency]],$K$4:$K$64,0))","v":3.2556428429575561E-2},null,null,null,"     Philippine Peso ",42.185099999999998,"PHP",null,null,"Dominican Republic","Dominican Republic"]
[null,null,{"$f":"AVERAGEIF(Data!F:F,tblXrate[[#This Row],[Currency]],Data!G:G)","v":67700.452577525488},"NOK",{"$f":"1/INDEX($J$4:$J$64,MATCH(tblXrate[[#This Row],[Currency]],$K$4:$K$64,0))","v":0.16925113144381371},null,null,null,"     Qatari Rial ",3.64,"QAR",null,null,"Dubai","Dubai"]
[null,null,{"$f":"AVERAGEIF(Data!F:F,tblXrate[[#This Row],[Currency]],Data!G:G)","v":148102.22862117883},"CHF",{"$f":"1/INDEX($J$4:$J$64,MATCH(tblXrate[[#This Row],[Currency]],$K$4:$K$64,0))","v":1.0578730615798488},null,null,null,"     Romanian Leu ",3.5135399999999999,"RON",null,null,"Egypt","Egypt"]
[null,null,{"$f":"AVERAGEIF(Data!F:F,tblXrate[[#This Row],[Currency]],Data!G:G)","v":2953.8461538461538},"ETB",{"$f":"1/INDEX($J$4:$J$64,MATCH(tblXrate[[#This Row],[Currency]],$K$4:$K$64,0))","v":5.6561085972850679E-2},null,null,null,"     Russian Ruble ",32.5458,"RUB",null,null,"Estonia","Estonia"]
[null,null,null,null,null,null,null,null,"     Saudi Riyal ",3.75,"SAR",null,null,"Ethiopia","Ethiopia"]
[null,null,null,null,null,null,null,null,"     Singapore Dollar ",1.2677099999999999,"SGD",null,null,"Europe","Europe"]
[null,null,null,null,null,null,null,null,"     South African Rand ",8.2019800000000007,"ZAR",null,null,"mainland Europe (Euro zone)","Europe"]
[null,null,null,null,null,null,null,null,"     South Korean Won ",1151.0899999999999,"KRW",null,null,"EU","Europe"]
[null,null,null,null,null,null,null,null,"     Sri Lanka Rupee ",132.90700000000001,"LKR",null,null,"Finland","Finland"]
[null,null,null,null,null,null,null,null,"     Swedish Krona ",6.9611099999999997,"SEK",null,null,"France","France"]
[null,null,null,null,null,null,null,null,"     Swiss Franc ",0.94529300000000005,"CHF",null,null,"FR","France"]
[null,null,null,null,null,null,null,null,"     Taiwan Dollar ",29.859400000000001,"TWD",null,null,"Germany","Germany"]
[null,null,null,null,null,null,null,null,"     Thai Baht ",31.500299999999999,"THB",null,null,"Ghana","Ghana"]
[null,null,null,null,null,null,null,null,"     Trinidad/Tobago Dollar ",6.3912199999999997,"TTD",null,null,"Greece","Greece"]
[null,null,null,null,null,null,null,null,"     Turkish Lira ",1.79447,"TRY",null,null,"Guyana","Guyana"]
[null,null,null,null,null,null,null,null,"     Venezuelan Bolivar ",4.2940199999999997,"VEF",null,null,"Hong Kong","Hong Kong"]
[null,null,null,null,null,null,null,null,"UAE Dirham",3.6735099999999998,"AED",null,null,"Hungary","Hungary"]
[null,null,null,null,null,null,null,null,"Bangladesh Takha",81.827399999999997,"BDT",null,null,"Iceland","Iceland"]
[null,null,null,null,null,null,null,null,"Costarican CRC",498.05,"Costarican",null,null,"India","India"]
[null,null,null,null,null,null,null,null,"Egyptian Pound",6.0510000000000002,"Egypt",null,null,"Indonesia","Indonesia"]
[null,null,null,null,null,null,null,null,"Nigerian Naira",162.25,"NAIRA",null,null,"Inonesia","Indonesia"]
[null,null,null,null,null,null,null,null,"Dominican Peso",38.950000000000003,"DOP",null,null,"iran","iran"]
[null,null,null,null,null,null,null,null,"Polish Zloty",3.3298399999999999,"PLN",null,null,"Ireland","Ireland"]
[null,null,null,null,null,null,null,null,"Kenyan Shilling",83.5,"Kenya",null,null,"Israel","Israel"]
[null,null,null,null,null,null,null,null,"Mongolian Tughrik",1322,"Mongolian",null,null,"italy","italy"]
[null,null,null,null,null,null,null,null,"Moroccan Dirham",8.73,"MAD",null,null,"Japan","Japan"]
[null,null,null,null,null,null,null,null,"Ethiopian Birr",17.68,"ETB",null,null,"Kenya","Kenya"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Kuwait","Kuwait"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Kuwait ","Kuwait "]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Latin America","Latin America"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Lesotho","Lesotho"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Libya","Libya"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Lithuania","Lithuania"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"malaysia","Malaysia"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Mauritius","Mauritius"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Mexico","Mexico"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"MÃ©xico","Mexico"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Mongolia","Mongolia"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Montenegro","Montenegro"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Morocco","Morocco"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"mozambique","Mozambique"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Myanmar","Myanmar"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Myanmar [Burma]","Myanmar"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"MYS","MYS"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Netherlands","Netherlands"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"The Netherlands","Netherlands"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"NL","Netherlands"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"New Zealand","New Zealand"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"nz","New Zealand"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"New  Zealand","New Zealand"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"nld","New Zealand"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Nigeria","Nigeria"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Norway","Norway"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Oman","Oman"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Pakistan","Pakistan"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Pakistan, Angola","Pakistan"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Panama","Panama"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Paraguay","Paraguay"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Peru","Peru"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Philippines","Philippines"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Poland","Poland"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Portugal","Portugal"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Qatar","Qatar"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Republic of Georgia","Republic of Georgia"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Republica Dominicana","Republica Dominicana"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Romania","Romania"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Russia","Russia"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Saudi Arabia","Saudi Arabia"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Saudi Arabai","Saudi Arabia"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Kingdom of Saudi Arabia","Saudi Arabia"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"self-employed","Self-employed"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Singapore","Singapore"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Slovakia","Slovakia"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Slovenia","Slovenia"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Somalia","Somalia"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"South Africa","South Africa"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"SouthAfrica","South Africa"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"RSA","South Africa"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Spain","Spain"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Sri Lanka","Sri Lanka"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"srilanka","Sri Lanka"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Sweden","Sweden"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Switzerland","Switzerland"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Thailand","Thailand"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"bangkok","Thailand"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Tunisia","Tunisia"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Turkey","Turkey"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"UAE","UAE"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"United Arab Emirates","UAE"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"United Arab Emriate","UAE"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Uganda","Uganda"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"UK","UK"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Ukraine","Ukraine"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Uruguay","Uruguay"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"USA","USA"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"ksa","USA"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Viet Nam","Vietnam"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Vietnam","Vietnam"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Zambia","Zambia"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Zimbabwe","Zimbabwe"]

{"sheet":"Tabel","index":3,"n_rows":14930,"n_cols":7,"rows_kept":14930,"cut":false,"hidden":false,"merged":[]}
[]
["Rijlabels","Som van Salary in USD"]
["ID0001",5846]
["India",5846]
["Analyst",5846]
["USD",5846]
["00 | 0 - 12500",5846]
["Unknown",5846]
["4 to 6 hours a day",5846]
[5846,5846]
["ID0002",15000]
["Croatia",15000]
["Controller",15000]
["USD",15000]
["01 | 12500 - 25000",15000]
["Unknown",15000]
["All the 8 hours baby, all the 8!",15000]
[15000,15000]
["ID0003",58000]
["USA",58000]
["Analyst",58000]
["USD",58000]
["04 | 50000 - 62500",58000]
["Unknown",58000]
["All the 8 hours baby, all the 8!",58000]
[58000,58000]
["ID0004",48000]
["Pakistan",48000]
["Controller",48000]
["USD",48000]
["03 | 37500 - 50000",48000]
["Unknown",48000]
["2 to 3 hours per day",48000]
[48000,48000]
["ID0005",54000]
["USA",54000]
["Engineer",54000]
["USD",54000]
["04 | 50000 - 62500",54000]
["Unknown",54000]
["All the 8 hours baby, all the 8!",54000]
[54000,54000]
["ID0006",41731]
["Iceland",41731]
["Analyst",41731]
["USD",41731]
["03 | 37500 - 50000",41731]
["Unknown",41731]
["All the 8 hours baby, all the 8!",41731]
[41731,41731]
["ID0007",184207.91865378313]
["Germany",184207.91865378313]
["Manager",184207.91865378313]
["EUR",184207.91865378313]
["14 | 175000 - 187500",184207.91865378313]
["Unknown",184207.91865378313]
["1 or 2 hours a day",184207.91865378313]
[184207.91865378313,184207.91865378313]
["ID0008",12000]
["Ukraine",12000]
["Analyst",12000]
["USD",12000]
["00 | 0 - 12500",12000]
["Unknown",12000]
["All the 8 hours baby, all the 8!",12000]
[12000,12000]
["ID0009",44000]
["Portugal",44000]
["CXO or Top Mgmt.",44000]
["USD",44000]
["03 | 37500 - 50000",44000]
["Unknown",44000]
["1 or 2 hours a day",44000]
[44000,44000]
["ID0010",12227.430201752599]
["Pakistan",12227.430201752599]
["Accountant",12227.430201752599]
["PKR",12227.430201752599]
["00 | 0 - 12500",12227.430201752599]
["Unknown",12227.430201752599]
["All the 8 hours baby, all the 8!",12227.430201752599]
[12227.430201752599,12227.430201752599]
["ID0011",65616.131023916547]
["Ireland",65616.131023916547]
["Specialist",65616.131023916547]
["EUR",65616.131023916547]
["05 | 62500 - 75000",65616.131023916547]
["Unknown",65616.131023916547]
["2 to 3 hours per day",65616.131023916547]
[65616.131023916547,65616.131023916547]
["ID0012",14000]
["Hungary",14000]
["Engineer",14000]
["USD",14000]
["01 | 12500 - 25000",14000]
["Unknown",14000]
["4 to 6 hours a day",14000]
[14000,14000]
["ID0013",13338.129598894484]
["India",13338.129598894484]
["Analyst",13338.129598894484]
["INR",13338.129598894484]
["01 | 12500 - 25000",13338.129598894484]
["Unknown",13338.129598894484]
["All the 8 hours baby, all the 8!",13338.129598894484]
[13338.129598894484,13338.129598894484]
["ID0014",49000]
["USA",49000]
["Analyst",49000]
["USD",49000]
["03 | 37500 - 50000",49000]
["Unknown",49000]
["All the 8 hours baby, all the 8!",49000]
[49000,49000]
["ID0015",85000]
["USA",85000]
["Engineer",85000]
["USD",85000]
["06 | 75000 - 87500",85000]
["Unknown",85000]
["1 or 2 hours a day",85000]
[85000,85000]
["ID0016",75000]
["USA",75000]
["Engineer",75000]
["USD",75000]
["06 | 75000 - 87500",75000]
["Unknown",75000]
["All the 8 hours baby, all the 8!",75000]
[75000,75000]
["ID0017",107000]
["Switzerland",107000]
["Manager",107000]
["USD",107000]
["08 | 100000 - 112500",107000]
["Unknown",107000]
["4 to 6 hours a day",107000]
[107000,107000]
["ID0018",45000]
["South Africa",45000]
["Reporting",45000]
["USD",45000]
["03 | 37500 - 50000",45000]
["Unknown",45000]
["All the 8 hours baby, all the 8!",45000]
[45000,45000]
["ID0019",9794.354178093412,null,null,null,null,{"$f":"AVERAGEIF(A:A,\"ID0\"&\"*\",B:B)","v":48946.469708666235}]
["India",9794.354178093412,null,null,null,null,{"$f":"AVERAGEIF(A:A,\"ID1\"&\"*\",B:B)","v":45661.908753966454}]
["Manager",9794.354178093412,null,null,null,null,{"$f":"(G147+G148)/2","v":47304.189231316341}]
["INR",9794.354178093412]
["00 | 0 - 12500",9794.354178093412,null,null,null,null,{"$f":"AVERAGE(B2:B163)","v":49214.830492245441}]
["Unknown",9794.354178093412,null,null,null,null,{"$f":"AVERAGE(B:B)","v":47356.995677533989}]
["2 to 3 hours per day",9794.354178093412]
[9794.354178093412,9794.354178093412]
["ID0020",50000]
["India",50000]
["Manager",50000]
["USD",50000]
["04 | 50000 - 62500",50000]
["Unknown",50000]
["1 or 2 hours a day",50000]
[50000,50000]
["ID0021",13500]
["India",13500]
["Manager",13500]
["USD",13500]
["01 | 12500 - 25000",13500]
["Unknown",13500]
["4 to 6 hours a day",13500]
[13500,13500]
["ID0022",96000]
["USA",96000]
["Analyst",96000]
["USD",96000]
["07 | 87500 - 100000",96000]
["Unknown",96000]
["2 to 3 hours per day",96000]
[96000,96000]
["ID0023",17807.916687442568]
["India",17807.916687442568]
["Manager",17807.916687442568]
["INR",17807.916687442568]
["01 | 12500 - 25000",17807.916687442568]
["Unknown",17807.916687442568]
["4 to 6 hours a day",17807.916687442568]
[17807.916687442568,17807.916687442568]
["ID0024",75000]
["USA",75000]
["CXO or Top Mgmt.",75000]
["USD",75000]
["06 | 75000 - 87500",75000]
["Unknown",75000]
["4 to 6 hours a day",75000]
[75000,75000]
["ID0025",40000]
["USA",40000]
["Manager",40000]
["USD",40000]
["03 | 37500 - 50000",40000]
["Unknown",40000]
["2 to 3 hours per day",40000]
[40000,40000]
["ID0026",60000]
["USA",60000]
["Analyst",60000]
["USD",60000]
["04 | 50000 - 62500",60000]
["Unknown",60000]
["All the 8 hours baby, all the 8!",60000]
[60000,60000]
["ID0028",41160.941823328096]
["Belgium",41160.941823328096]
["Manager",41160.941823328096]
["EUR",41160.941823328096]
["03 | 37500 - 50000",41160.941823328096]
["Unknown",41160.941823328096]
["4 to 6 hours a day",41160.941823328096]
[41160.941823328096,41160.941823328096]
["ID0029",16027.125018698311]
["India",16027.125018698311]
["Engineer",16027.125018698311]
["INR",16027.125018698311]
["01 | 12500 - 25000",16027.125018698311]
["Unknown",16027.125018698311]
["1 or 2 hours a day",16027.125018698311]
[16027.125018698311,16027.125018698311]
["ID0030",10684.750012465542]
["India",10684.750012465542]
["Manager",10684.750012465542]
["INR",10684.750012465542]
["00 | 0 - 12500",10684.750012465542]
["Unknown",10684.750012465542]
["4 to 6 hours a day",10684.750012465542]
[10684.750012465542,10684.750012465542]
["ID0031",41000]
["Russia",41000]
["Manager",41000]
["USD",41000]
["03 | 37500 - 50000",41000]
["Unknown",41000]
["All the 8 hours baby, all the 8!",41000]
[41000,41000]
["ID0032",6410.8500074793246]
["India",6410.8500074793246]
["Specialist",6410.8500074793246]
["INR",6410.8500074793246]
["00 | 0 - 12500",6410.8500074793246]
["Unknown",6410.8500074793246]
["4 to 6 hours a day",6410.8500074793246]
[6410.8500074793246,6410.8500074793246]
["ID0033",55166.239522354947]
["UK",55166.239522354947]
["Analyst",55166.239522354947]
["GBP",55166.239522354947]
["04 | 50000 - 62500",55166.239522354947]
["Unknown",55166.239522354947]
["All the 8 hours baby, all the 8!",55166.239522354947]
[55166.239522354947,55166.239522354947]
["ID0035",19200]
["Poland",19200]
["Analyst",19200]
["USD",19200]
["01 | 12500 - 25000",19200]
["Unknown",19200]
["2 to 3 hours per day",19200]
[19200,19200]
["ID0036",8903.9583437212841]
["India",8903.9583437212841]
["Consultant",8903.9583437212841]
["INR",8903.9583437212841]
["00 | 0 - 12500",8903.9583437212841]
["Unknown",8903.9583437212841]
["All the 8 hours baby, all the 8!",8903.9583437212841]
[8903.9583437212841,8903.9583437212841]
["ID0037",150000]
["USA",150000]
["Manager",150000]
["USD",150000]
["12 | 150000 - 162500",150000]
["Unknown",150000]
["2 to 3 hours per day",150000]
[150000,150000]
["ID0038",69000]
["USA",69000]
["Engineer",69000]
["USD",69000]
["05 | 62500 - 75000",69000]
["Unknown",69000]
["4 to 6 hours a day",69000]
[69000,69000]
["ID0039",30000]
["USA",30000]
["Consultant",30000]
["USD",30000]
["02 | 25000 - 37500",30000]
["Unknown",30000]
["2 to 3 hours per day",30000]
[30000,30000]
["ID0040",7123.1666749770275]
["India",7123.1666749770275]
["Manager",7123.1666749770275]
["INR",7123.1666749770275]
["00 | 0 - 12500",7123.1666749770275]
["Unknown",7123.1666749770275]
["4 to 6 hours a day",7123.1666749770275]
[7123.1666749770275,7123.1666749770275]
["ID0041",71393.675948184507]
["Australia",71393.675948184507]
["Consultant",71393.675948184507]
["AUD",71393.675948184507]
["05 | 62500 - 75000",71393.675948184507]
["Unknown",71393.675948184507]
["2 to 3 hours per day",71393.675948184507]
[71393.675948184507,71393.675948184507]
["ID0042",14500]
["India",14500]
["Analyst",14500]
["USD",14500]
["01 | 12500 - 25000",14500]
["Unknown",14500]
["4 to 6 hours a day",14500]
[14500,14500]
["ID0043",68835.306612122877]
["Canada",68835.306612122877]
["Engineer",68835.306612122877]
["CAD",68835.306612122877]
["05 | 62500 - 75000",68835.306612122877]
["Unknown",68835.306612122877]
["2 to 3 hours per day",68835.306612122877]
[68835.306612122877,68835.306612122877]
["ID0044",58000]
["USA",58000]
["Accountant",58000]
["USD",58000]
["04 | 50000 - 62500",58000]
["Unknown",58000]
["4 to 6 hours a day",58000]
[58000,58000]
["ID0045",90000]
["USA",90000]
["Misc.",90000]
["USD",90000]
["07 | 87500 - 100000",90000]
["Unknown",90000]
["1 or 2 hours a day",90000]
[90000,90000]
["ID0046",14246.333349954055]
["India",14246.333349954055]
["Manager",14246.333349954055]
["INR",14246.333349954055]
["01 | 12500 - 25000",14246.333349954055]
["Unknown",14246.333349954055]
["2 to 3 hours per day",14246.333349954055]
[14246.333349954055,14246.333349954055]
["ID0047",50437.70470615309]
["UK",50437.70470615309]
["Analyst",50437.70470615309]
["GBP",50437.70470615309]
["04 | 50000 - 62500",50437.70470615309]
["Unknown",50437.70470615309]
["4 to 6 hours a day",50437.70470615309]
[50437.70470615309,50437.70470615309]
["ID0048",12000]
["USA",12000]
["Consultant",12000]
["USD",12000]
["00 | 0 - 12500",12000]
["Unknown",12000]
["1 or 2 hours a day",12000]
[12000,12000]
["ID0049",57167.974754622352]
["Netherlands",57167.974754622352]
["Manager",57167.974754622352]
["EUR",57167.974754622352]
["04 | 50000 - 62500",57167.974754622352]
["Unknown",57167.974754622352]
["4 to 6 hours a day",57167.974754622352]
[57167.974754622352,57167.974754622352]
["ID0050",100000]
["Germany",100000]
["Analyst",100000]
["USD",100000]
["08 | 100000 - 112500",100000]
["Unknown",100000]
["All the 8 hours baby, all the 8!",100000]
[100000,100000]
["ID0051",57000]
["USA",57000]
["Accountant",57000]
["USD",57000]
["04 | 50000 - 62500",57000]
["Unknown",57000]
["2 to 3 hours per day",57000]
[57000,57000]
["ID0052",63047.130882691366]
["UK",63047.130882691366]
["Accountant",63047.130882691366]
["GBP",63047.130882691366]
["05 | 62500 - 75000",63047.130882691366]
["Unknown",63047.130882691366]
["4 to 6 hours a day",63047.130882691366]
[63047.130882691366,63047.130882691366]
["ID0053",30489.586535798586]
["Germany",30489.586535798586]
["Manager",30489.586535798586]
["EUR",30489.586535798586]
["02 | 25000 - 37500",30489.586535798586]
["Unknown",30489.586535798586]
["All the 8 hours baby, all the 8!",30489.586535798586]
[30489.586535798586,30489.586535798586]
["ID0054",4320]
["India",4320]
["Accountant",4320]
["USD",4320]
["00 | 0 - 12500",4320]
["Unknown",4320]
["2 to 3 hours per day",4320]
[4320,4320]
["ID0055",62000]
["USA",62000]
["Analyst",62000]
["USD",62000]
["04 | 50000 - 62500",62000]
["Unknown",62000]
["4 to 6 hours a day",62000]
[62000,62000]
["ID0056",7500]
["India",7500]
["Analyst",7500]
["USD",7500]
["00 | 0 - 12500",7500]
["Unknown",7500]
["4 to 6 hours a day",7500]
[7500,7500]
["ID0057",28371.208897211112]
["UK",28371.208897211112]
["Manager",28371.208897211112]
["GBP",28371.208897211112]
["02 | 25000 - 37500",28371.208897211112]
["Unknown",28371.208897211112]
["1 or 2 hours a day",28371.208897211112]
[28371.208897211112,28371.208897211112]
["ID0058",62249.572510588783]
["France",62249.572510588783]
["Manager",62249.572510588783]
["EUR",62249.572510588783]
["04 | 50000 - 62500",62249.572510588783]
["Unknown",62249.572510588783]
["2 to 3 hours per day",62249.572510588783]
[62249.572510588783,62249.572510588783]
["ID0059",38000]
["USA",38000]
["Analyst",38000]
["USD",38000]
["03 | 37500 - 50000",38000]
["Unknown",38000]
["4 to 6 hours a day",38000]
[38000,38000]
["ID0060",41000]
["USA",41000]
["Specialist",41000]
["USD",41000]
["03 | 37500 - 50000",41000]
["Unknown",41000]
["4 to 6 hours a day",41000]
[41000,41000]
["ID0061",68000]
["USA",68000]
["Analyst",68000]
["USD",68000]
["05 | 62500 - 75000",68000]
["Unknown",68000]
["All the 8 hours baby, all the 8!",68000]
[68000,68000]
["ID0062",55068.245289698301]
["Canada",55068.245289698301]
["Analyst",55068.245289698301]
["CAD",55068.245289698301]
["04 | 50000 - 62500",55068.245289698301]
["Unknown",55068.245289698301]
["All the 8 hours baby, all the 8!",55068.245289698301]
[55068.245289698301,55068.245289698301]
["ID0063",61000]
["Brazil",61000]
["Manager",61000]
["USD",61000]
["04 | 50000 - 62500",61000]
["Unknown",61000]
["All the 8 hours baby, all the 8!",61000]
[61000,61000]
["ID0064",54627.175876639136]
["France",54627.175876639136]
["Consultant",54627.175876639136]
["EUR",54627.175876639136]
["04 | 50000 - 62500",54627.175876639136]
["Unknown",54627.175876639136]
["4 to 6 hours a day",54627.175876639136]
[54627.175876639136,54627.175876639136]
["ID0065",85000]
["USA",85000]
["Manager",85000]
["USD",85000]
["06 | 75000 - 87500",85000]
["Unknown",85000]
["4 to 6 hours a day",85000]
[85000,85000]
["ID0066",48275.178681681093]
["Netherlands",48275.178681681093]
["Analyst",48275.178681681093]
["EUR",48275.178681681093]
["03 | 37500 - 50000",48275.178681681093]
["Unknown",48275.178681681093]
["1 or 2 hours a day",48275.178681681093]
[48275.178681681093,48275.178681681093]
["ID0067",86692.320794224041]
["Australia",86692.320794224041]
["CXO or Top Mgmt.",86692.320794224041]
["AUD",86692.320794224041]
["06 | 75000 - 87500",86692.320794224041]
["Unknown",86692.320794224041]
["4 to 6 hours a day",86692.320794224041]
[86692.320794224041,86692.320794224041]
["ID0068",85087]
["USA",85087]
["Analyst",85087]
["USD",85087]
["06 | 75000 - 87500",85087]
["Unknown",85087]
["2 to 3 hours per day",85087]
[85087,85087]
["ID0069",50000]
["USA",50000]
["Analyst",50000]
["USD",50000]
["04 | 50000 - 62500",50000]
["Unknown",50000]
["All the 8 hours baby, all the 8!",50000]
[50000,50000]
["ID0070",100000]
["South Africa",100000]
["Manager",100000]
["USD",100000]
["08 | 100000 - 112500",100000]
["Unknown",100000]
["4 to 6 hours a day",100000]
[100000,100000]
["ID0071",57000]
["USA",57000]
["Analyst",57000]
["USD",57000]
["04 | 50000 - 62500",57000]
["Unknown",57000]
["4 to 6 hours a day",57000]
[57000,57000]
["ID0072",75000]
["USA",75000]
["Manager",75000]
["USD",75000]
["06 | 75000 - 87500",75000]
["Unknown",75000]
["All the 8 hours baby, all the 8!",75000]
[75000,75000]
["ID0073",101990.96564026357]
["Australia",101990.96564026357]
["Manager",101990.96564026357]
["AUD",101990.96564026357]
["08 | 100000 - 112500",101990.96564026357]
["Unknown",101990.96564026357]
["4 to 6 hours a day",101990.96564026357]
[101990.96564026357,101990.96564026357]
["ID0074",33420]
["UAE",33420]
["Manager",33420]
["USD",33420]
["02 | 25000 - 37500",33420]
["Unknown",33420]
["All the 8 hours baby, all the 8!",33420]
[33420,33420]
["ID0075",58460.842544152933]
["Canada",58460.842544152933]
["Specialist",58460.842544152933]
["CAD",58460.842544152933]
["04 | 50000 - 62500",58460.842544152933]
["Unknown",58460.842544152933]
["All the 8 hours baby, all the 8!",58460.842544152933]
[58460.842544152933,58460.842544152933]
["ID0076",15000]
["USA",15000]
["Consultant",15000]
["USD",15000]
["01 | 12500 - 25000",15000]
["Unknown",15000]
["All the 8 hours baby, all the 8!",15000]
[15000,15000]
["ID0077",60000]
["Canada",60000]
["Analyst",60000]
["USD",60000]
["04 | 50000 - 62500",60000]
["Unknown",60000]
["1 or 2 hours a day",60000]
[60000,60000]
["ID0078",157617.8272067284]
["UK",157617.8272067284]
["Analyst",157617.8272067284]
["GBP",157617.8272067284]
["12 | 150000 - 162500",157617.8272067284]
["Unknown",157617.8272067284]
["2 to 3 hours per day",157617.8272067284]
[157617.8272067284,157617.8272067284]
["ID0079",18000]
["Saudi Arabia",18000]
["Analyst",18000]
["USD",18000]
["01 | 12500 - 25000",18000]
["Unknown",18000]
["All the 8 hours baby, all the 8!",18000]
[18000,18000]
["ID0080",50000]
["USA",50000]
["Manager",50000]
["USD",50000]
["04 | 50000 - 62500",50000]
["Unknown",50000]
["2 to 3 hours per day",50000]
[50000,50000]
["ID0081",26000]
["Panama",26000]
["Analyst",26000]
["USD",26000]
["02 | 25000 - 37500",26000]
["Unknown",26000]
["All the 8 hours baby, all the 8!",26000]
[26000,26000]
["ID0082",47285.348162018527]
["UK",47285.348162018527]
["Manager",47285.348162018527]
["GBP",47285.348162018527]
["03 | 37500 - 50000",47285.348162018527]
["Unknown",47285.348162018527]
["4 to 6 hours a day",47285.348162018527]
[47285.348162018527,47285.348162018527]
["ID0083",150000]
["USA",150000]
["CXO or Top Mgmt.",150000]
["USD",150000]
["12 | 150000 - 162500",150000]
["Unknown",150000]
["All the 8 hours baby, all the 8!",150000]
[150000,150000]
["ID0084",120000]
["USA",120000]
["Manager",120000]
["USD",120000]
["09 | 112500 - 125000",120000]
["Unknown",120000]
["4 to 6 hours a day",120000]
[120000,120000]
["ID0085",8903.9583437212841]
["India",8903.9583437212841]
["Consultant",8903.9583437212841]
["INR",8903.9583437212841]
["00 | 0 - 12500",8903.9583437212841]
["Unknown",8903.9583437212841]
["All the 8 hours baby, all the 8!",8903.9583437212841]
[8903.9583437212841,8903.9583437212841]
["ID0086",31330]
["Brazil",31330]
["Analyst",31330]
["USD",31330]
["02 | 25000 - 37500",31330]
["Unknown",31330]
["All the 8 hours baby, all the 8!",31330]
[31330,31330]
["ID0087",110000]
["USA",110000]
["Engineer",110000]
["USD",110000]
["08 | 100000 - 112500",110000]
["Unknown",110000]
["2 to 3 hours per day",110000]
[110000,110000]
["ID0088",81000]
["UK",81000]
["Consultant",81000]
["USD",81000]
["06 | 75000 - 87500",81000]
["Unknown",81000]
["4 to 6 hours a day",81000]
[81000,81000]
["ID0089",40000]
["USA",40000]
["Analyst",40000]
["USD",40000]
["03 | 37500 - 50000",40000]
["Unknown",40000]
["4 to 6 hours a day",40000]
[40000,40000]
["ID0090",41301.183967273726]
["Canada",41301.183967273726]
["Analyst",41301.183967273726]
["CAD",41301.183967273726]
["03 | 37500 - 50000",41301.183967273726]
["Unknown",41301.183967273726]
["4 to 6 hours a day",41301.183967273726]
[41301.183967273726,41301.183967273726]
["ID0091",125000]
["USA",125000]
["CXO or Top Mgmt.",125000]
["USD",125000]
["10 | 125000 - 137500",125000]
["Unknown",125000]
["4 to 6 hours a day",125000]
[125000,125000]
["ID0092",36000]
["USA",36000]
["Manager",36000]
["USD",36000]
["02 | 25000 - 37500",36000]
["Unknown",36000]
["2 to 3 hours per day",36000]
[36000,36000]
["ID0093",2564.3400029917298]
["India",2564.3400029917298]
["Consultant",2564.3400029917298]
["INR",2564.3400029917298]
["00 | 0 - 12500",2564.3400029917298]
["Unknown",2564.3400029917298]
["1 or 2 hours a day",2564.3400029917298]
[2564.3400029917298,2564.3400029917298]
["ID0094",75000]
["USA",75000]
["Analyst",75000]
["USD",75000]
["06 | 75000 - 87500",75000]
["Unknown",75000]
["1 or 2 hours a day",75000]
[75000,75000]
["ID0095",95000]
["USA",95000]
["CXO or Top Mgmt.",95000]
["USD",95000]
["07 | 87500 - 100000",95000]
["Unknown",95000]
["4 to 6 hours a day",95000]
[95000,95000]
["ID0096",24000]
["USA",24000]
["Manager",24000]
["USD",24000]
["01 | 12500 - 25000",24000]
["Unknown",24000]
["2 to 3 hours per day",24000]
[24000,24000]
["ID0097",91000]
["USA",91000]
["Manager",91000]
["USD",91000]
["07 | 87500 - 100000",91000]
["Unknown",91000]
["1 or 2 hours a day",91000]
[91000,91000]
["ID0098",40000]
["USA",40000]
["Analyst",40000]
["USD",40000]
["03 | 37500 - 50000",40000]
["Unknown",40000]
["4 to 6 hours a day",40000]
[40000,40000]
["ID0099",57000]
["USA",57000]
["Manager",57000]
["USD",57000]
["04 | 50000 - 62500",57000]
["Unknown",57000]
["4 to 6 hours a day",57000]
[57000,57000]
["ID0100",74000]
["USA",74000]
["Consultant",74000]
["USD",74000]
["05 | 62500 - 75000",74000]
["Unknown",74000]
["4 to 6 hours a day",74000]
[74000,74000]
["ID0101",80000]
["USA",80000]
["Analyst",80000]
["USD",80000]
["06 | 75000 - 87500",80000]
["Unknown",80000]
["4 to 6 hours a day",80000]
[80000,80000]
["ID0102",90000]
["USA",90000]
["Specialist",90000]
["USD",90000]
["07 | 87500 - 100000",90000]
["Unknown",90000]
["4 to 6 hours a day",90000]
[90000,90000]
["ID0103",21000]
["Arabian Gulf",21000]
["Analyst",21000]
["USD",21000]
["01 | 12500 - 25000",21000]
["Unknown",21000]
["1 or 2 hours a day",21000]
[21000,21000]
["ID0104",52000]
["USA",52000]
["Manager",52000]
["USD",52000]
["04 | 50000 - 62500",52000]
["Unknown",52000]
["4 to 6 hours a day",52000]
[52000,52000]
["ID0105",19200]
["Mexico",19200]
["Analyst",19200]
["USD",19200]
["01 | 12500 - 25000",19200]
["Unknown",19200]
["4 to 6 hours a day",19200]
[19200,19200]
["ID0106",36000]
["USA",36000]
["Analyst",36000]
["USD",36000]
["02 | 25000 - 37500",36000]
["Unknown",36000]
["4 to 6 hours a day",36000]
[36000,36000]
["ID0107",57400]
["USA",57400]
["Analyst",57400]
["USD",57400]
["04 | 50000 - 62500",57400]
["Unknown",57400]
["4 to 6 hours a day",57400]
[57400,57400]
["ID0108",66000]
["USA",66000]
["Analyst",66000]
["USD",66000]
["05 | 62500 - 75000",66000]
["Unknown",66000]
["2 to 3 hours per day",66000]
[66000,66000]
["ID0109",44463.980364706273]
["Greece",44463.980364706273]
["Manager",44463.980364706273]
["EUR",44463.980364706273]
["03 | 37500 - 50000",44463.980364706273]
["Unknown",44463.980364706273]
["4 to 6 hours a day",44463.980364706273]
[44463.980364706273,44463.980364706273]
["ID0111",85000]
["USA",85000]
["Analyst",85000]
["USD",85000]
["06 | 75000 - 87500",85000]
["Unknown",85000]
["4 to 6 hours a day",85000]
[85000,85000]
["ID0112",50000]
["USA",50000]
["Specialist",50000]
["USD",50000]
["04 | 50000 - 62500",50000]
["Unknown",50000]
["4 to 6 hours a day",50000]
[50000,50000]
["ID0113",58000]
["USA",58000]
["Manager",58000]
["USD",58000]
["04 | 50000 - 62500",58000]
["Unknown",58000]
["4 to 6 hours a day",58000]
[58000,58000]
["ID0114",37900]
["USA",37900]
["Accountant",37900]
["USD",37900]
["03 | 37500 - 50000",37900]
["Unknown",37900]
["All the 8 hours baby, all the 8!",37900]
[37900,37900]
["ID0115",48000]
["UAE",48000]
["Manager",48000]
["USD",48000]
["03 | 37500 - 50000",48000]
["Unknown",48000]
["2 to 3 hours per day",48000]
[48000,48000]
["ID0116",67000]
["USA",67000]
["Analyst",67000]
["USD",67000]
["05 | 62500 - 75000",67000]
["Unknown",67000]
["4 to 6 hours a day",67000]
[67000,67000]
["ID0117",85000]
["UAE",85000]
["Controller",85000]
["USD",85000]
["06 | 75000 - 87500",85000]
["Unknown",85000]
["4 to 6 hours a day",85000]
[85000,85000]
["ID0118",56160]
["USA",56160]
["Analyst",56160]
["USD",56160]
["04 | 50000 - 62500",56160]
["Unknown",56160]
["4 to 6 hours a day",56160]
[56160,56160]
["ID0119",24000]
["Colombia",24000]
["Manager",24000]
["USD",24000]
["01 | 12500 - 25000",24000]
["Unknown",24000]
["All the 8 hours baby, all the 8!",24000]
[24000,24000]
["ID0120",52000]
["USA",52000]
["Analyst",52000]
["USD",52000]
["04 | 50000 - 62500",52000]
["Unknown",52000]
["Excel ?!? What Excel?",52000]
[52000,52000]
["ID0121",59001.691381819612]
["Canada",59001.691381819612]
["Analyst",59001.691381819612]
["CAD",59001.691381819612]
["04 | 50000 - 62500",59001.691381819612]
["Unknown",59001.691381819612]
["Excel ?!? What Excel?",59001.691381819612]
[59001.691381819612,59001.691381819612]
["ID0122",70000]
["USA",70000]
["Accountant",70000]
["USD",70000]
["05 | 62500 - 75000",70000]
["Unknown",70000]
["All the 8 hours baby, all the 8!",70000]
[70000,70000]
["ID0123",50000]
["USA",50000]
["Specialist",50000]
["USD",50000]
["04 | 50000 - 62500",50000]
["Unknown",50000]
["4 to 6 hours a day",50000]
[50000,50000]
["ID0124",40958.208381117904]
["India",40958.208381117904]
["Analyst",40958.208381117904]
["INR",40958.208381117904]
["03 | 37500 - 50000",40958.208381117904]
["Unknown",40958.208381117904]
["1 or 2 hours a day",40958.208381117904]
[40958.208381117904,40958.208381117904]
["ID0125",80000]
["USA",80000]
["Analyst",80000]
["USD",80000]
["06 | 75000 - 87500",80000]
["Unknown",80000]
["4 to 6 hours a day",80000]
[80000,80000]
["ID0126",128000]
["USA",128000]
["Manager",128000]
["USD",128000]
["10 | 125000 - 137500",128000]
["Unknown",128000]
["All the 8 hours baby, all the 8!",128000]
[128000,128000]
["ID0127",44000]
["USA",44000]
["Manager",44000]
["USD",44000]
["03 | 37500 - 50000",44000]
["Unknown",44000]
["1 or 2 hours a day",44000]
[44000,44000]
["ID0128",65000]
["USA",65000]
["Accountant",65000]
["USD",65000]
["05 | 62500 - 75000",65000]
["Unknown",65000]
["All the 8 hours baby, all the 8!",65000]
[65000,65000]
["ID0129",36000]
["Turkey",36000]
["Accountant",36000]
["USD",36000]
["02 | 25000 - 37500",36000]
["Unknown",36000]
["4 to 6 hours a day",36000]
[36000,36000]
["ID0130",12000]
["Pakistan",12000]
["Consultant",12000]
["USD",12000]
["00 | 0 - 12500",12000]
["Unknown",12000]
["1 or 2 hours a day",12000]
[12000,12000]
["ID0131",44383.603963142654]
["UK",44383.603963142654]
["Analyst",44383.603963142654]
["GBP",44383.603963142654]
["03 | 37500 - 50000",44383.603963142654]
["Unknown",44383.603963142654]
["All the 8 hours baby, all the 8!",44383.603963142654]
[44383.603963142654,44383.603963142654]
["ID0132",45000]
["USA",45000]
["Analyst",45000]
["USD",45000]
["03 | 37500 - 50000",45000]
["Unknown",45000]
["4 to 6 hours a day",45000]
[45000,45000]
["ID0133",54000]
["USA",54000]
["Analyst",54000]
["USD",54000]
["04 | 50000 - 62500",54000]
["Unknown",54000]
["2 to 3 hours per day",54000]
[54000,54000]
["ID0134",110332.47904470989]
["UK",110332.47904470989]
["Manager",110332.47904470989]
["GBP",110332.47904470989]
["08 | 100000 - 112500",110332.47904470989]
["Unknown",110332.47904470989]
["2 to 3 hours per day",110332.47904470989]
[110332.47904470989,110332.47904470989]
["ID0135",71000]
["USA",71000]
["Analyst",71000]
["USD",71000]
["05 | 62500 - 75000",71000]
["Unknown",71000]
["4 to 6 hours a day",71000]
[71000,71000]
["ID0136",14246.333349954055]
["India",14246.333349954055]
["Manager",14246.333349954055]
["INR",14246.333349954055]
["01 | 12500 - 25000",14246.333349954055]
["Unknown",14246.333349954055]
["2 to 3 hours per day",14246.333349954055]
[14246.333349954055,14246.333349954055]
["ID0137",68835.306612122877]
["Canada",68835.306612122877]
["Manager",68835.306612122877]
["CAD",68835.306612122877]
["05 | 62500 - 75000",68835.306612122877]
["Unknown",68835.306612122877]
["4 to 6 hours a day",68835.306612122877]
[68835.306612122877,68835.306612122877]
["ID0138",49168.076151516347]
["Canada",49168.076151516347]
["Manager",49168.076151516347]
["CAD",49168.076151516347]
["03 | 37500 - 50000",49168.076151516347]
["Unknown",49168.076151516347]
["4 to 6 hours a day",49168.076151516347]
[49168.076151516347,49168.076151516347]
["ID0139",40000]
["USA",40000]
["Analyst",40000]
["USD",40000]
["03 | 37500 - 50000",40000]
["Unknown",40000]
["4 to 6 hours a day",40000]
[40000,40000]
["ID0140",60968.414427880263]
["Canada",60968.414427880263]
["Analyst",60968.414427880263]
["CAD",60968.414427880263]
["04 | 50000 - 62500",60968.414427880263]
["Unknown",60968.414427880263]
["2 to 3 hours per day",60968.414427880263]
[60968.414427880263,60968.414427880263]
["ID0141",5983.4600069807029]
["India",5983.4600069807029]
["Reporting",5983.4600069807029]
["INR",5983.4600069807029]
["00 | 0 - 12500",5983.4600069807029]
["Unknown",5983.4600069807029]
["4 to 6 hours a day",5983.4600069807029]
[5983.4600069807029,5983.4600069807029]
["ID0142",53000]
["USA",53000]
["Analyst",53000]
["USD",53000]
["04 | 50000 - 62500",53000]
["Unknown",53000]
["4 to 6 hours a day",53000]
[53000,53000]
["ID0143",104000]
["USA",104000]
["CXO or Top Mgmt.",104000]
["USD",104000]
["08 | 100000 - 112500",104000]
["Unknown",104000]
["2 to 3 hours per day",104000]
[104000,104000]
["ID0144",57000]
["USA",57000]
["Engineer",57000]
["USD",57000]
["04 | 50000 - 62500",57000]
["Unknown",57000]
["4 to 6 hours a day",57000]
[57000,57000]
["ID0145",45000]
["USA",45000]
["Analyst",45000]
["USD",45000]
["03 | 37500 - 50000",45000]
["Unknown",45000]
["2 to 3 hours per day",45000]
[45000,45000]
["ID0146",92000]
["USA",92000]
["Analyst",92000]
["USD",92000]
["07 | 87500 - 100000",92000]
["Unknown",92000]
["4 to 6 hours a day",92000]
[92000,92000]
["ID0147",88000]
["USA",88000]
["Manager",88000]
["USD",88000]
["07 | 87500 - 100000",88000]
["Unknown",88000]
["4 to 6 hours a day",88000]
[88000,88000]
["ID0148",80000]
["USA",80000]
["Analyst",80000]
["USD",80000]
["06 | 75000 - 87500",80000]
["Unknown",80000]
["2 to 3 hours per day",80000]
[80000,80000]
["ID0149",69000]
["USA",69000]
["Consultant",69000]
["USD",69000]
["05 | 62500 - 75000",69000]
["Unknown",69000]
["4 to 6 hours a day",69000]
[69000,69000]
["ID0150",50000]
["Mexico",50000]
["Analyst",50000]
["USD",50000]
["04 | 50000 - 62500",50000]
["Unknown",50000]
["All the 8 hours baby, all the 8!",50000]
[50000,50000]
["ID0151",35000]
["USA",35000]
["Manager",35000]
["USD",35000]
["02 | 25000 - 37500",35000]
["Unknown",35000]
["2 to 3 hours per day",35000]
[35000,35000]
["ID0152",96000]
["USA",96000]
["Analyst",96000]
["USD",96000]
["07 | 87500 - 100000",96000]
["Unknown",96000]
["4 to 6 hours a day",96000]
[96000,96000]
["ID0153",65000]
["USA",65000]
["Accountant",65000]
["USD",65000]
["05 | 62500 - 75000",65000]
["Unknown",65000]
["All the 8 hours baby, all the 8!",65000]
[65000,65000]
["ID0154",37440]
["USA",37440]
["Analyst",37440]
["USD",37440]
["02 | 25000 - 37500",37440]
["Unknown",37440]
["All the 8 hours baby, all the 8!",37440]
[37440,37440]
["ID0155",15500]
["Mexico",15500]
["Accountant",15500]
["USD",15500]
["01 | 12500 - 25000",15500]
["Unknown",15500]
["All the 8 hours baby, all the 8!",15500]
[15500,15500]
["ID0156",90000]
["USA",90000]
["Analyst",90000]
["USD",90000]
["07 | 87500 - 100000",90000]
["Unknown",90000]
["2 to 3 hours per day",90000]
[90000,90000]
["ID0157",66500]
["USA",66500]
["Analyst",66500]
["USD",66500]
["05 | 62500 - 75000",66500]
["Unknown",66500]
["All the 8 hours baby, all the 8!",66500]
[66500,66500]
["ID0158",100000]
["USA",100000]
["Accountant",100000]
["USD",100000]
["08 | 100000 - 112500",100000]
["Unknown",100000]
["All the 8 hours baby, all the 8!",100000]
[100000,100000]
["ID0159",50831.74927416991]
["UK",50831.74927416991]
["Manager",50831.74927416991]
["GBP",50831.74927416991]
["04 | 50000 - 62500",50831.74927416991]
["Unknown",50831.74927416991]
["4 to 6 hours a day",50831.74927416991]
[50831.74927416991,50831.74927416991]
["ID0160",7479.3250087258784]
["India",7479.3250087258784]
["Manager",7479.3250087258784]
["INR",7479.3250087258784]
["00 | 0 - 12500",7479.3250087258784]
["Unknown",7479.3250087258784]
["1 or 2 hours a day",7479.3250087258784]
[7479.3250087258784,7479.3250087258784]
["ID0161",75000]
["USA",75000]
["Analyst",75000]
["USD",75000]
["06 | 75000 - 87500",75000]
["Unknown",75000]
["1 or 2 hours a day",75000]
[75000,75000]
["ID0162",58000]
["Canada",58000]
["Manager",58000]
["USD",58000]
["04 | 50000 - 62500",58000]
["Unknown",58000]
["1 or 2 hours a day",58000]
[58000,58000]
["ID0163",55000]
["USA",55000]
["Manager",55000]
["USD",55000]
["04 | 50000 - 62500",55000]
["Unknown",55000]
["2 to 3 hours per day",55000]
[55000,55000]
["ID0164",60000]
["USA",60000]
["Analyst",60000]
["USD",60000]
["04 | 50000 - 62500",60000]
["Unknown",60000]
["4 to 6 hours a day",60000]
[60000,60000]
["ID0165",23150.291693675339]
["India",23150.291693675339]
["Manager",23150.291693675339]
["INR",23150.291693675339]
["01 | 12500 - 25000",23150.291693675339]
["Unknown",23150.291693675339]
["4 to 6 hours a day",23150.291693675339]
[23150.291693675339,23150.291693675339]
["ID0166",105219.68296424497]
["Canada",105219.68296424497]
["Manager",105219.68296424497]
["CAD",105219.68296424497]
["08 | 100000 - 112500",105219.68296424497]
["Unknown",105219.68296424497]
["2 to 3 hours per day",105219.68296424497]
[105219.68296424497,105219.68296424497]
["ID0167",145000]
["Switzerland",145000]
["Controller",145000]
["USD",145000]
["11 | 137500 - 150000",145000]
["Unknown",145000]
["All the 8 hours baby, all the 8!",145000]
[145000,145000]
["ID0168",22880]
["USA",22880]
["Accountant",22880]
["USD",22880]
["01 | 12500 - 25000",22880]
["Unknown",22880]
["4 to 6 hours a day",22880]
[22880,22880]
["ID0169",80000]
["USA",80000]
["Consultant",80000]
["USD",80000]
["06 | 75000 - 87500",80000]
["Unknown",80000]
["4 to 6 hours a day",80000]
[80000,80000]
["ID0170",8903.9583437212841]
["India",8903.9583437212841]
["Analyst",8903.9583437212841]
["INR",8903.9583437212841]
["00 | 0 - 12500",8903.9583437212841]
["Unknown",8903.9583437212841]
["2 to 3 hours per day",8903.9583437212841]
[8903.9583437212841,8903.9583437212841]
["ID0171",88502.537072729421]
["Canada",88502.537072729421]
["Analyst",88502.537072729421]
["CAD",88502.537072729421]
["07 | 87500 - 100000",88502.537072729421]
["Unknown",88502.537072729421]
["4 to 6 hours a day",88502.537072729421]
[88502.537072729421,88502.537072729421]
["ID0172",3205.4250037396623]
["India",3205.4250037396623]
["Analyst",3205.4250037396623]
["INR",3205.4250037396623]
["00 | 0 - 12500",3205.4250037396623]
["Unknown",3205.4250037396623]
["4 to 6 hours a day",3205.4250037396623]
[3205.4250037396623,3205.4250037396623]
["ID0173",46584]
["USA",46584]
["Analyst",46584]
["USD",46584]
["03 | 37500 - 50000",46584]
["Unknown",46584]
["4 to 6 hours a day",46584]
[46584,46584]
["ID0174",67000]
["USA",67000]
["Analyst",67000]
["USD",67000]
["05 | 62500 - 75000",67000]
["Unknown",67000]
["4 to 6 hours a day",67000]
[67000,67000]
["ID0175",19588.708356186824]
["India",19588.708356186824]
["Manager",19588.708356186824]
["INR",19588.708356186824]
["01 | 12500 - 25000",19588.708356186824]
["Unknown",19588.708356186824]
["4 to 6 hours a day",19588.708356186824]
[19588.708356186824,19588.708356186824]
["ID0176",92000]
["USA",92000]
["Engineer",92000]
["USD",92000]
["07 | 87500 - 100000",92000]
["Unknown",92000]
["4 to 6 hours a day",92000]
[92000,92000]
["ID0177",75000]
["USA",75000]
["Specialist",75000]
["USD",75000]
["06 | 75000 - 87500",75000]
["Unknown",75000]
["All the 8 hours baby, all the 8!",75000]
[75000,75000]
["ID0178",3205.4250037396623]
["India",3205.4250037396623]
["Analyst",3205.4250037396623]
["INR",3205.4250037396623]
["00 | 0 - 12500",3205.4250037396623]
["Unknown",3205.4250037396623]
["4 to 6 hours a day",3205.4250037396623]
[3205.4250037396623,3205.4250037396623]
["ID0179",29159.298033244755]
["UK",29159.298033244755]
["Manager",29159.298033244755]
["GBP",29159.298033244755]
["02 | 25000 - 37500",29159.298033244755]
["Unknown",29159.298033244755]
["All the 8 hours baby, all the 8!",29159.298033244755]
[29159.298033244755,29159.298033244755]
["ID0180",40000]
["USA",40000]
["Analyst",40000]
["USD",40000]
["03 | 37500 - 50000",40000]
["Unknown",40000]
["All the 8 hours baby, all the 8!",40000]
[40000,40000]
["ID0181",111680]
["USA",111680]
["Analyst",111680]
["USD",111680]
["08 | 100000 - 112500",111680]
["Unknown",111680]
["2 to 3 hours per day",111680]
[111680,111680]
["ID0182",41406]
["Canada",41406]
["Analyst",41406]
["USD",41406]
["03 | 37500 - 50000",41406]
["Unknown",41406]
["1 or 2 hours a day",41406]
[41406,41406]
["ID0183",70000]
["USA",70000]
["Manager",70000]
["USD",70000]
["05 | 62500 - 75000",70000]
["Unknown",70000]
["4 to 6 hours a day",70000]
[70000,70000]
["ID0184",40700]
["USA",40700]
["Analyst",40700]
["USD",40700]
["03 | 37500 - 50000",40700]
["Unknown",40700]
["1 or 2 hours a day",40700]
[40700,40700]
["ID0185",40000]
["USA",40000]
["Analyst",40000]
["USD",40000]
["03 | 37500 - 50000",40000]
["Unknown",40000]
["4 to 6 hours a day",40000]
[40000,40000]
["ID0186",60000]
["USA",60000]
["Accountant",60000]
["USD",60000]
["04 | 50000 - 62500",60000]
["Unknown",60000]
["4 to 6 hours a day",60000]
[60000,60000]
["ID0187",90469.260118790073]
["Canada",90469.260118790073]
["Consultant",90469.260118790073]
["CAD",90469.260118790073]
["07 | 87500 - 100000",90469.260118790073]
["Unknown",90469.260118790073]
["All the 8 hours baby, all the 8!",90469.260118790073]
[90469.260118790073,90469.260118790073]
["ID0188",13636]
["India",13636]
["Manager",13636]
["USD",13636]
["01 | 12500 - 25000",13636]
["Unknown",13636]
["All the 8 hours baby, all the 8!",13636]
[13636,13636]
["ID0189",80000]
["USA",80000]
["Manager",80000]
["USD",80000]
["06 | 75000 - 87500",80000]
["Unknown",80000]
["2 to 3 hours per day",80000]
[80000,80000]
["ID0190",59001.691381819612]
["Canada",59001.691381819612]
["Analyst",59001.691381819612]
["CAD",59001.691381819612]
["04 | 50000 - 62500",59001.691381819612]
["Unknown",59001.691381819612]
["2 to 3 hours per day",59001.691381819612]
[59001.691381819612,59001.691381819612]
["ID0192",28000]
["USA",28000]
["Analyst",28000]
["USD",28000]
["02 | 25000 - 37500",28000]
["Unknown",28000]
["4 to 6 hours a day",28000]
[28000,28000]
["ID0193",60000]
["USA",60000]
["Analyst",60000]
["USD",60000]
["04 | 50000 - 62500",60000]
["Unknown",60000]
["4 to 6 hours a day",60000]
[60000,60000]
["ID0194",96000]
["USA",96000]
["Specialist",96000]
["USD",96000]
["07 | 87500 - 100000",96000]
["Unknown",96000]
["2 to 3 hours per day",96000]
[96000,96000]
["ID0195",67000]
["USA",67000]
["Analyst",67000]
["USD",67000]
["05 | 62500 - 75000",67000]
["Unknown",67000]
["4 to 6 hours a day",67000]
[67000,67000]
["ID0196",70000]
["USA",70000]
["Analyst",70000]
["USD",70000]
["05 | 62500 - 75000",70000]
["Unknown",70000]
["4 to 6 hours a day",70000]
[70000,70000]
["ID0197",4149.2445881741187]
["India",4149.2445881741187]
["Manager",4149.2445881741187]
["INR",4149.2445881741187]
["00 | 0 - 12500",4149.2445881741187]
["Unknown",4149.2445881741187]
["All the 8 hours baby, all the 8!",4149.2445881741187]
[4149.2445881741187,4149.2445881741187]
["ID0198",99000]
["USA",99000]
["Controller",99000]
["USD",99000]
["07 | 87500 - 100000",99000]
["Unknown",99000]
["4 to 6 hours a day",99000]
[99000,99000]
["ID0200",90000]
["USA",90000]
["Manager",90000]
["USD",90000]
["07 | 87500 - 100000",90000]
["Unknown",90000]
["2 to 3 hours per day",90000]
[90000,90000]
["ID0201",4897.177089046706]
["India",4897.177089046706]
["Analyst",4897.177089046706]
["INR",4897.177089046706]
["00 | 0 - 12500",4897.177089046706]
["Unknown",4897.177089046706]
["2 to 3 hours per day",4897.177089046706]
[4897.177089046706,4897.177089046706]
["ID0202",3419.1200039889732]
["India",3419.1200039889732]
["Analyst",3419.1200039889732]
["INR",3419.1200039889732]
["00 | 0 - 12500",3419.1200039889732]
["Unknown",3419.1200039889732]
["All the 8 hours baby, all the 8!",3419.1200039889732]
[3419.1200039889732,3419.1200039889732]
["ID0203",51000]
["USA",51000]
["Manager",51000]
["USD",51000]
["04 | 50000 - 62500",51000]
["Unknown",51000]
["4 to 6 hours a day",51000]
[51000,51000]
["ID0204",100000]
["USA",100000]
["Manager",100000]
["USD",100000]
["08 | 100000 - 112500",100000]
["Unknown",100000]
["All the 8 hours baby, all the 8!",100000]
[100000,100000]
["ID0205",32054.250037396621]
["India",32054.250037396621]
["Manager",32054.250037396621]
["INR",32054.250037396621]
["02 | 25000 - 37500",32054.250037396621]
["Unknown",32054.250037396621]
["1 or 2 hours a day",32054.250037396621]
[32054.250037396621,32054.250037396621]
["ID0207",47285.348162018527]
["UK",47285.348162018527]
["Analyst",47285.348162018527]
["GBP",47285.348162018527]
["03 | 37500 - 50000",47285.348162018527]
["Unknown",47285.348162018527]
["2 to 3 hours per day",47285.348162018527]
[47285.348162018527,47285.348162018527]
["ID0208",63519.971949580387]
["Ireland",63519.971949580387]
["Analyst",63519.971949580387]
["EUR",63519.971949580387]
["05 | 62500 - 75000",63519.971949580387]
["Unknown",63519.971949580387]
["4 to 6 hours a day",63519.971949580387]
[63519.971949580387,63519.971949580387]
["ID0209",108160]
["USA",108160]
["Analyst",108160]
["USD",108160]
["08 | 100000 - 112500",108160]
["Unknown",108160]
["4 to 6 hours a day",108160]
[108160,108160]
["ID0210",50000]
["USA",50000]
["Manager",50000]
["USD",50000]
["04 | 50000 - 62500",50000]
["Unknown",50000]
["4 to 6 hours a day",50000]
[50000,50000]
["ID0212",43000]
["USA",43000]
["Analyst",43000]
["USD",43000]
["03 | 37500 - 50000",43000]
["Unknown",43000]
["All the 8 hours baby, all the 8!",43000]
[43000,43000]
["ID0213",27000]
["Singapore",27000]
["Analyst",27000]
["USD",27000]
["02 | 25000 - 37500",27000]
["Unknown",27000]
["All the 8 hours baby, all the 8!",27000]
[27000,27000]
["ID0214",41000]
["USA",41000]
["Manager",41000]
["USD",41000]
["03 | 37500 - 50000",41000]
["Unknown",41000]
["All the 8 hours baby, all the 8!",41000]
[41000,41000]
["ID0215",100000]
["USA",100000]
["CXO or Top Mgmt.",100000]
["USD",100000]
["08 | 100000 - 112500",100000]
["Unknown",100000]
["4 to 6 hours a day",100000]
[100000,100000]
["ID0216",42140]
["USA",42140]
["Analyst",42140]
["USD",42140]
["03 | 37500 - 50000",42140]
["Unknown",42140]
["4 to 6 hours a day",42140]
[42140,42140]
["ID0217",80000]
["USA",80000]
["Analyst",80000]
["USD",80000]
["06 | 75000 - 87500",80000]
["Unknown",80000]
["4 to 6 hours a day",80000]
[80000,80000]
["ID0218",41600]
["USA",41600]
["Manager",41600]
["USD",41600]
["03 | 37500 - 50000",41600]
["Unknown",41600]
["4 to 6 hours a day",41600]
[41600,41600]
["ID0219",45000]
["USA",45000]
["Accountant",45000]
["USD",45000]
["03 | 37500 - 50000",45000]
["Unknown",45000]
["2 to 3 hours per day",45000]
[45000,45000]
["ID0220",78000]
["Bermuda",78000]
["Accountant",78000]
["USD",78000]
["06 | 75000 - 87500",78000]
["Unknown",78000]
["4 to 6 hours a day",78000]
[78000,78000]
["ID0221",8903.9583437212841]
["India",8903.9583437212841]
["Manager",8903.9583437212841]
["INR",8903.9583437212841]
["00 | 0 - 12500",8903.9583437212841]
["Unknown",8903.9583437212841]
["4 to 6 hours a day",8903.9583437212841]
[8903.9583437212841,8903.9583437212841]
["ID0222",6232.7708406048987]
["India",6232.7708406048987]
["Accountant",6232.7708406048987]
["INR",6232.7708406048987]
["00 | 0 - 12500",6232.7708406048987]
["Unknown",6232.7708406048987]
["4 to 6 hours a day",6232.7708406048987]
[6232.7708406048987,6232.7708406048987]
["ID0223",72500]
["USA",72500]
["Controller",72500]
["USD",72500]
["05 | 62500 - 75000",72500]
["Unknown",72500]
["4 to 6 hours a day",72500]
[72500,72500]
["ID0224",138000]
["Thailand",138000]
["Engineer",138000]
["USD",138000]
["11 | 137500 - 150000",138000]
["Unknown",138000]
["4 to 6 hours a day",138000]
[138000,138000]
["ID0225",8547.8000099724322]
["India",8547.8000099724322]
["Manager",8547.8000099724322]
["INR",8547.8000099724322]
["00 | 0 - 12500",8547.8000099724322]
["Unknown",8547.8000099724322]
["4 to 6 hours a day",8547.8000099724322]
[8547.8000099724322,8547.8000099724322]
["ID0226",80000]
["USA",80000]
["Analyst",80000]
["USD",80000]
["06 | 75000 - 87500",80000]
["Unknown",80000]
["4 to 6 hours a day",80000]
[80000,80000]
["ID0227",50000]
["USA",50000]
["Manager",50000]
["USD",50000]
["04 | 50000 - 62500",50000]
["Unknown",50000]
["4 to 6 hours a day",50000]
[50000,50000]
["ID0228",44251.268536364711]
["Canada",44251.268536364711]
["Specialist",44251.268536364711]
["CAD",44251.268536364711]
["03 | 37500 - 50000",44251.268536364711]
["Unknown",44251.268536364711]
["1 or 2 hours a day",44251.268536364711]
[44251.268536364711,44251.268536364711]
["ID0229",67775.665698893223]
["UK",67775.665698893223]
["Manager",67775.665698893223]
["GBP",67775.665698893223]
["05 | 62500 - 75000",67775.665698893223]
["Unknown",67775.665698893223]
["2 to 3 hours per day",67775.665698893223]
[67775.665698893223,67775.665698893223]
["ID0230",3561.5833374885137]
["India",3561.5833374885137]
["Analyst",3561.5833374885137]
["INR",3561.5833374885137]
["00 | 0 - 12500",3561.5833374885137]
["Unknown",3561.5833374885137]
["1 or 2 hours a day",3561.5833374885137]
[3561.5833374885137,3561.5833374885137]
["ID0231",65000]
["USA",65000]
["Specialist",65000]
["USD",65000]
["05 | 62500 - 75000",65000]
["Unknown",65000]
["2 to 3 hours per day",65000]
[65000,65000]
["ID0232",114000]
["USA",114000]
["CXO or Top Mgmt.",114000]
["USD",114000]
["09 | 112500 - 125000",114000]
["Unknown",114000]
["2 to 3 hours per day",114000]
[114000,114000]
["ID0233",95000]
["USA",95000]
["CXO or Top Mgmt.",95000]
["USD",95000]
["07 | 87500 - 100000",95000]
["Unknown",95000]
["4 to 6 hours a day",95000]
[95000,95000]
["ID0234",52500]
["USA",52500]
["Analyst",52500]
["USD",52500]
["04 | 50000 - 62500",52500]
["Unknown",52500]
["4 to 6 hours a day",52500]
[52500,52500]
["ID0235",70928.022243027779]
["UK",70928.022243027779]
["Manager",70928.022243027779]
["GBP",70928.022243027779]
["05 | 62500 - 75000",70928.022243027779]
["Unknown",70928.022243027779]
["2 to 3 hours per day",70928.022243027779]
[70928.022243027779,70928.022243027779]
["ID0236",60000]
["USA",60000]
["Analyst",60000]
["USD",60000]
["04 | 50000 - 62500",60000]
["Unknown",60000]
["4 to 6 hours a day",60000]
[60000,60000]
["ID0237",65250]
["USA",65250]
["Accountant",65250]
["USD",65250]
["05 | 62500 - 75000",65250]
["Unknown",65250]
["4 to 6 hours a day",65250]
[65250,65250]
["ID0238",21369.500024931083]
["India",21369.500024931083]
["Manager",21369.500024931083]
["INR",21369.500024931083]
["01 | 12500 - 25000",21369.500024931083]
["Unknown",21369.500024931083]
["2 to 3 hours per day",21369.500024931083]
[21369.500024931083,21369.500024931083]
["ID0239",98336.152303032693]
["Canada",98336.152303032693]
["Manager",98336.152303032693]
["CAD",98336.152303032693]
["07 | 87500 - 100000",98336.152303032693]
["Unknown",98336.152303032693]
["2 to 3 hours per day",98336.152303032693]
[98336.152303032693,98336.152303032693]
["ID0240",15244.793267899293]
["Portugal",15244.793267899293]
["Specialist",15244.793267899293]
["EUR",15244.793267899293]
["01 | 12500 - 25000",15244.793267899293]
["Unknown",15244.793267899293]
["All the 8 hours baby, all the 8!",15244.793267899293]
[15244.793267899293,15244.793267899293]
["ID0241",73000]
["USA",73000]
["Analyst",73000]
["USD",73000]
["05 | 62500 - 75000",73000]
["Unknown",73000]
["4 to 6 hours a day",73000]
[73000,73000]
["ID0242",50000]
["USA",50000]
["Analyst",50000]
["USD",50000]
["04 | 50000 - 62500",50000]
["Unknown",50000]
["All the 8 hours baby, all the 8!",50000]
[50000,50000]
["ID0243",79000]
["USA",79000]
["Accountant",79000]
["USD",79000]
["06 | 75000 - 87500",79000]
["Unknown",79000]
["2 to 3 hours per day",79000]
[79000,79000]
["ID0244",90000]
["USA",90000]
["Manager",90000]
["USD",90000]
["07 | 87500 - 100000",90000]
["Unknown",90000]
["4 to 6 hours a day",90000]
[90000,90000]
["ID0245",70000]
["USA",70000]
["Manager",70000]
["USD",70000]
["05 | 62500 - 75000",70000]
["Unknown",70000]
["2 to 3 hours per day",70000]
[70000,70000]
["ID0246",63918.498996971248]
["Canada",63918.498996971248]
["Manager",63918.498996971248]
["CAD",63918.498996971248]
["05 | 62500 - 75000",63918.498996971248]
["Unknown",63918.498996971248]
["4 to 6 hours a day",63918.498996971248]
[63918.498996971248,63918.498996971248]
["ID0247",80000]
["USA",80000]
["Analyst",80000]
["USD",80000]
["06 | 75000 - 87500",80000]
["Unknown",80000]
["4 to 6 hours a day",80000]
[80000,80000]
["ID0248",140000]
["USA",140000]
["Manager",140000]
["USD",140000]
["11 | 137500 - 150000",140000]
["Unknown",140000]
["4 to 6 hours a day",140000]
[140000,140000]
["ID0249",96000]
["Poland",96000]
["Consultant",96000]
["USD",96000]
["07 | 87500 - 100000",96000]
["Unknown",96000]
["2 to 3 hours per day",96000]
[96000,96000]
["ID0250",20000]
["India",20000]
["Manager",20000]
["USD",20000]
["01 | 12500 - 25000",20000]
["Unknown",20000]
["4 to 6 hours a day",20000]
[20000,20000]
["ID0251",47700]
["USA",47700]
["Analyst",47700]
["USD",47700]
["03 | 37500 - 50000",47700]
["Unknown",47700]
["4 to 6 hours a day",47700]
[47700,47700]
["ID0252",25000]
["India",25000]
["Manager",25000]
["USD",25000]
["02 | 25000 - 37500",25000]
["Unknown",25000]
["1 or 2 hours a day",25000]
[25000,25000]
["ID0253",52500]
["USA",52500]
["Analyst",52500]
["USD",52500]
["04 | 50000 - 62500",52500]
["Unknown",52500]
["4 to 6 hours a day",52500]
[52500,52500]
["ID0254",40000]
["USA",40000]
["Analyst",40000]
["USD",40000]
["03 | 37500 - 50000",40000]
["Unknown",40000]
["All the 8 hours baby, all the 8!",40000]
[40000,40000]
["ID0255",31000]
["USA",31000]
["Analyst",31000]
["USD",31000]
["02 | 25000 - 37500",31000]
["Unknown",31000]
["4 to 6 hours a day",31000]
[31000,31000]
["ID0256",83033.071372504521]
["UK",83033.071372504521]
["Consultant",83033.071372504521]
["GBP",83033.071372504521]
["06 | 75000 - 87500",83033.071372504521]
["Unknown",83033.071372504521]
["All the 8 hours baby, all the 8!",83033.071372504521]
[83033.071372504521,83033.071372504521]
["ID0257",130000]
["USA",130000]
["Manager",130000]
["USD",130000]
["10 | 125000 - 137500",130000]
["Unknown",130000]
["4 to 6 hours a day",130000]
[130000,130000]
["ID0258",8369.7208430980063]
["India",8369.7208430980063]
["Analyst",8369.7208430980063]
["INR",8369.7208430980063]
["00 | 0 - 12500",8369.7208430980063]
["Unknown",8369.7208430980063]
["All the 8 hours baby, all the 8!",8369.7208430980063]
[8369.7208430980063,8369.7208430980063]
["ID0259",51000]
["USA",51000]
["Analyst",51000]
["USD",51000]
["04 | 50000 - 62500",51000]
["Unknown",51000]
["2 to 3 hours per day",51000]
[51000,51000]
["ID0260",94570.696324037053]
["UK",94570.696324037053]
["Analyst",94570.696324037053]
["GBP",94570.696324037053]
["07 | 87500 - 100000",94570.696324037053]
["Unknown",94570.696324037053]
["All the 8 hours baby, all the 8!",94570.696324037053]
[94570.696324037053,94570.696324037053]
["ID0261",34191.200039889729]
["India",34191.200039889729]
["Manager",34191.200039889729]
["INR",34191.200039889729]
["02 | 25000 - 37500",34191.200039889729]
["Unknown",34191.200039889729]
["2 to 3 hours per day",34191.200039889729]
[34191.200039889729,34191.200039889729]
["ID0262",44132.991617883956]
["UK",44132.991617883956]
["Analyst",44132.991617883956]
["GBP",44132.991617883956]
["03 | 37500 - 50000",44132.991617883956]
["Unknown",44132.991617883956]
["All the 8 hours baby, all the 8!",44132.991617883956]
[44132.991617883956,44132.991617883956]
["ID0263",73000]
["USA",73000]
["Specialist",73000]
["USD",73000]
["05 | 62500 - 75000",73000]
["Unknown",73000]
["4 to 6 hours a day",73000]
[73000,73000]
["ID0264",62400]
["USA",62400]
["Accountant",62400]
["USD",62400]
["04 | 50000 - 62500",62400]
["Unknown",62400]
["All the 8 hours baby, all the 8!",62400]
[62400,62400]
["ID0265",27600]
["Singapore",27600]
["Consultant",27600]
["USD",27600]
["02 | 25000 - 37500",27600]
["Unknown",27600]
["All the 8 hours baby, all the 8!",27600]
[27600,27600]
["ID0266",54000]
["USA",54000]
["Manager",54000]
["USD",54000]
["04 | 50000 - 62500",54000]
["Unknown",54000]
["All the 8 hours baby, all the 8!",54000]
[54000,54000]
["ID0267",4914.9850057341491]
["India",4914.9850057341491]
["Analyst",4914.9850057341491]
["INR",4914.9850057341491]
["00 | 0 - 12500",4914.9850057341491]
["Unknown",4914.9850057341491]
["All the 8 hours baby, all the 8!",4914.9850057341491]
[4914.9850057341491,4914.9850057341491]
["ID0268",77000]
["USA",77000]
["Accountant",77000]
["USD",77000]
["06 | 75000 - 87500",77000]
["Unknown",77000]
["4 to 6 hours a day",77000]
[77000,77000]
["ID0269",76000]
["USA",76000]
["Manager",76000]
["USD",76000]
["06 | 75000 - 87500",76000]
["Unknown",76000]
["All the 8 hours baby, all the 8!",76000]
[76000,76000]
["ID0270",103000]
["USA",103000]
["CXO or Top Mgmt.",103000]
["USD",103000]
["08 | 100000 - 112500",103000]
["Unknown",103000]
["2 to 3 hours per day",103000]
[103000,103000]
["ID0271",7600]
["Ukraine",7600]
["Specialist",7600]
["USD",7600]
["00 | 0 - 12500",7600]
["Unknown",7600]
["1 or 2 hours a day",7600]
[7600,7600]
["ID0272",40000]
["USA",40000]
["Analyst",40000]
["USD",40000]
["03 | 37500 - 50000",40000]
["Unknown",40000]
["4 to 6 hours a day",40000]
[40000,40000]
["ID0273",80000]
["USA",80000]
["CXO or Top Mgmt.",80000]
["USD",80000]
["06 | 75000 - 87500",80000]
["Unknown",80000]
["2 to 3 hours per day",80000]
[80000,80000]
["ID0274",55000]
["USA",55000]
["Analyst",55000]
["USD",55000]
["04 | 50000 - 62500",55000]
["Unknown",55000]
["All the 8 hours baby, all the 8!",55000]
[55000,55000]
["ID0275",99000]
["USA",99000]
["Analyst",99000]
["USD",99000]
["07 | 87500 - 100000",99000]
["Unknown",99000]
["2 to 3 hours per day",99000]
[99000,99000]
["ID0276",9956.1219482708348]
["Philippines",9956.1219482708348]
["Manager",9956.1219482708348]
["PHP",9956.1219482708348]
["00 | 0 - 12500",9956.1219482708348]
["Unknown",9956.1219482708348]
["4 to 6 hours a day",9956.1219482708348]
[9956.1219482708348,9956.1219482708348]
["ID0277",75000]
["USA",75000]
["Analyst",75000]
["USD",75000]
["06 | 75000 - 87500",75000]
["Unknown",75000]
["4 to 6 hours a day",75000]
[75000,75000]
["ID0278",80000]
["USA",80000]
["Manager",80000]
["USD",80000]
["06 | 75000 - 87500",80000]
["Unknown",80000]
["2 to 3 hours per day",80000]
[80000,80000]
["ID0279",20000]
["India",20000]
["Analyst",20000]
["USD",20000]
["01 | 12500 - 25000",20000]
["Unknown",20000]
["All the 8 hours baby, all the 8!",20000]
[20000,20000]
["ID0280",40000]
["USA",40000]
["Analyst",40000]
["USD",40000]
["03 | 37500 - 50000",40000]
["Unknown",40000]
["All the 8 hours baby, all the 8!",40000]
[40000,40000]
["ID0281",46000]
["USA",46000]
["Analyst",46000]
["USD",46000]
["03 | 37500 - 50000",46000]
["Unknown",46000]
["All the 8 hours baby, all the 8!",46000]
[46000,46000]
["ID0282",14000]
["Brazil",14000]
["Analyst",14000]
["USD",14000]
["01 | 12500 - 25000",14000]
["Unknown",14000]
["1 or 2 hours a day",14000]
[14000,14000]
["ID0283",70000]
["USA",70000]
["Engineer",70000]
["USD",70000]
["05 | 62500 - 75000",70000]
["Unknown",70000]
["All the 8 hours baby, all the 8!",70000]
[70000,70000]
["ID0284",36000]
["Russia",36000]
["Specialist",36000]
["USD",36000]
["02 | 25000 - 37500",36000]
["Unknown",36000]
["4 to 6 hours a day",36000]
[36000,36000]
["ID0285",15000]
["USA",15000]
["Manager",15000]
["USD",15000]
["01 | 12500 - 25000",15000]
["Unknown",15000]
["2 to 3 hours per day",15000]
[15000,15000]
["ID0286",26711.875031163851]
["India",26711.875031163851]
["Consultant",26711.875031163851]
["INR",26711.875031163851]
["02 | 25000 - 37500",26711.875031163851]
["Unknown",26711.875031163851]
["All the 8 hours baby, all the 8!",26711.875031163851]
[26711.875031163851,26711.875031163851]
["ID0287",27221.92126875931]
["Dubai",27221.92126875931]
["Accountant",27221.92126875931]
["AED",27221.92126875931]
["02 | 25000 - 37500",27221.92126875931]
["Unknown",27221.92126875931]
["4 to 6 hours a day",27221.92126875931]
[27221.92126875931,27221.92126875931]
["ID0288",22000]
["India",22000]
["Reporting",22000]
["USD",22000]
["01 | 12500 - 25000",22000]
["Unknown",22000]
["All the 8 hours baby, all the 8!",22000]
[22000,22000]
["ID0289",68000]
["USA",68000]
["Manager",68000]
["USD",68000]
["05 | 62500 - 75000",68000]
["Unknown",68000]
["All the 8 hours baby, all the 8!",68000]
[68000,68000]
["ID0290",97000]
["USA",97000]
["Analyst",97000]
["USD",97000]
["07 | 87500 - 100000",97000]
["Unknown",97000]
["All the 8 hours baby, all the 8!",97000]
[97000,97000]
["ID0291",48861.526434085805]
["UK",48861.526434085805]
["Engineer",48861.526434085805]
["GBP",48861.526434085805]
["03 | 37500 - 50000",48861.526434085805]
["Unknown",48861.526434085805]
["2 to 3 hours per day",48861.526434085805]
[48861.526434085805,48861.526434085805]
["ID0292",65000]
["USA",65000]
["Analyst",65000]
["USD",65000]
["05 | 62500 - 75000",65000]
["Unknown",65000]
["4 to 6 hours a day",65000]
[65000,65000]
["ID0293",43200]
["Saudi Arabia",43200]
["Manager",43200]
["USD",43200]
["03 | 37500 - 50000",43200]
["Unknown",43200]
["4 to 6 hours a day",43200]
[43200,43200]
["ID0294",8013.5625093491553]
["India",8013.5625093491553]
["Analyst",8013.5625093491553]
["INR",8013.5625093491553]
["00 | 0 - 12500",8013.5625093491553]
["Unknown",8013.5625093491553]
["4 to 6 hours a day",8013.5625093491553]
[8013.5625093491553,8013.5625093491553]
["ID0295",50000]
["USA",50000]
["Analyst",50000]
["USD",50000]
["04 | 50000 - 62500",50000]
["Unknown",50000]
["All the 8 hours baby, all the 8!",50000]
[50000,50000]
["ID0296",45000]
["USA",45000]
["Analyst",45000]
["USD",45000]
["03 | 37500 - 50000",45000]
["Unknown",45000]
["4 to 6 hours a day",45000]
[45000,45000]
["ID0297",3205.4250037396623]
["India",3205.4250037396623]
["Manager",3205.4250037396623]
["INR",3205.4250037396623]
["00 | 0 - 12500",3205.4250037396623]
["Unknown",3205.4250037396623]
["4 to 6 hours a day",3205.4250037396623]
[3205.4250037396623,3205.4250037396623]
["ID0298",60000]
["USA",60000]
["Manager",60000]
["USD",60000]
["04 | 50000 - 62500",60000]
["Unknown",60000]
["All the 8 hours baby, all the 8!",60000]
[60000,60000]
["ID0299",31000]
["USA",31000]
["Specialist",31000]
["USD",31000]
["02 | 25000 - 37500",31000]
["Unknown",31000]
["2 to 3 hours per day",31000]
[31000,31000]
["ID0300",75000]
["USA",75000]
["Analyst",75000]
["USD",75000]
["06 | 75000 - 87500",75000]
["Unknown",75000]
["4 to 6 hours a day",75000]
[75000,75000]
["ID0301",16000]
["USA",16000]
["CXO or Top Mgmt.",16000]
["USD",16000]
["01 | 12500 - 25000",16000]
["Unknown",16000]
["1 or 2 hours a day",16000]
[16000,16000]
["ID0302",36000]
["USA",36000]
["Analyst",36000]
["USD",36000]
["02 | 25000 - 37500",36000]
["Unknown",36000]
["All the 8 hours baby, all the 8!",36000]
[36000,36000]
["ID0303",41301.183967273726]
["Canada",41301.183967273726]
["Analyst",41301.183967273726]
["CAD",41301.183967273726]
["03 | 37500 - 50000",41301.183967273726]
["Unknown",41301.183967273726]
["All the 8 hours baby, all the 8!",41301.183967273726]
[41301.183967273726,41301.183967273726]
["ID0304",53000]
["USA",53000]
["Analyst",53000]
["USD",53000]
["04 | 50000 - 62500",53000]
["Unknown",53000]
["4 to 6 hours a day",53000]
[53000,53000]
["ID0305",82575.963534454509]
["Germany",82575.963534454509]
["Controller",82575.963534454509]
["EUR",82575.963534454509]
["06 | 75000 - 87500",82575.963534454509]
["Unknown",82575.963534454509]
["All the 8 hours baby, all the 8!",82575.963534454509]
[82575.963534454509,82575.963534454509]
["ID0306",67000]
["USA",67000]
["Analyst",67000]
["USD",67000]
["05 | 62500 - 75000",67000]
["Unknown",67000]
["4 to 6 hours a day",67000]
[67000,67000]
["ID0307",12000]
["India",12000]
["Analyst",12000]
["USD",12000]
["00 | 0 - 12500",12000]
["Unknown",12000]
["All the 8 hours baby, all the 8!",12000]
[12000,12000]
["ID0308",85000]
["USA",85000]
["Controller",85000]
["USD",85000]
["06 | 75000 - 87500",85000]
["Unknown",85000]
["All the 8 hours baby, all the 8!",85000]
[85000,85000]
["ID0310",40000]
["USA",40000]
["Manager",40000]
["USD",40000]
["03 | 37500 - 50000",40000]
["Unknown",40000]
["4 to 6 hours a day",40000]
[40000,40000]
["ID0311",31523.565441345683]
["UK",31523.565441345683]
["Engineer",31523.565441345683]
["GBP",31523.565441345683]
["02 | 25000 - 37500",31523.565441345683]
["Unknown",31523.565441345683]
["1 or 2 hours a day",31523.565441345683]
[31523.565441345683,31523.565441345683]
["ID0312",41000]
["USA",41000]
["Analyst",41000]
["USD",41000]
["03 | 37500 - 50000",41000]
["Unknown",41000]
["4 to 6 hours a day",41000]
[41000,41000]
["ID0313",24931.083362419595]
["India",24931.083362419595]
["Manager",24931.083362419595]
["INR",24931.083362419595]
["01 | 12500 - 25000",24931.083362419595]
["Unknown",24931.083362419595]
["1 or 2 hours a day",24931.083362419595]
[24931.083362419595,24931.083362419595]
["ID0314",125000]
["USA",125000]
["Manager",125000]
["USD",125000]
["10 | 125000 - 137500",125000]
["Unknown",125000]
["4 to 6 hours a day",125000]
[125000,125000]
["ID0315",59001.691381819612]
["Canada",59001.691381819612]
["Analyst",59001.691381819612]
["CAD",59001.691381819612]
["04 | 50000 - 62500",59001.691381819612]
["Unknown",59001.691381819612]
["All the 8 hours baby, all the 8!",59001.691381819612]
[59001.691381819612,59001.691381819612]
["ID0316",10956.982885192734]
["Mexico",10956.982885192734]
["Analyst",10956.982885192734]
["MXN",10956.982885192734]
["00 | 0 - 12500",10956.982885192734]
["Unknown",10956.982885192734]
["All the 8 hours baby, all the 8!",10956.982885192734]
[10956.982885192734,10956.982885192734]
["ID0317",70000]
["USA",70000]
["Analyst",70000]
["USD",70000]
["05 | 62500 - 75000",70000]
["Unknown",70000]
["2 to 3 hours per day",70000]
[70000,70000]
["ID0319",55000]
["USA",55000]
["Analyst",55000]
["USD",55000]
["04 | 50000 - 62500",55000]
["Unknown",55000]
["4 to 6 hours a day",55000]
[55000,55000]
["ID0320",60000]
["USA",60000]
["Analyst",60000]
["USD",60000]
["04 | 50000 - 62500",60000]
["Unknown",60000]
["4 to 6 hours a day",60000]
[60000,60000]
["ID0321",17807.916687442568]
["India",17807.916687442568]
["Manager",17807.916687442568]
["INR",17807.916687442568]
["01 | 12500 - 25000",17807.916687442568]
["Unknown",17807.916687442568]
["4 to 6 hours a day",17807.916687442568]
[17807.916687442568,17807.916687442568]
["ID0322",40000]
["Hungary",40000]
["Manager",40000]
["USD",40000]
["03 | 37500 - 50000",40000]
["Unknown",40000]
["4 to 6 hours a day",40000]
[40000,40000]
["ID0323",137500]
["USA",137500]
["Analyst",137500]
["USD",137500]
["11 | 137500 - 150000",137500]
["Unknown",137500]
["4 to 6 hours a day",137500]
[137500,137500]
["ID0324",4545]
["Brazil",4545]
["Analyst",4545]
["USD",4545]
["00 | 0 - 12500",4545]
["Unknown",4545]
["All the 8 hours baby, all the 8!",4545]
[4545,4545]
["ID0325",45709.169889951241]
["UK",45709.169889951241]
["Analyst",45709.169889951241]
["GBP",45709.169889951241]
["03 | 37500 - 50000",45709.169889951241]
["Unknown",45709.169889951241]
["4 to 6 hours a day",45709.169889951241]
[45709.169889951241,45709.169889951241]
["ID0326",47000]
["USA",47000]
["Specialist",47000]
["USD",47000]
["03 | 37500 - 50000",47000]
["Unknown",47000]
["4 to 6 hours a day",47000]
[47000,47000]
["ID0327",65000]
["USA",65000]
["Analyst",65000]
["USD",65000]
["05 | 62500 - 75000",65000]
["Unknown",65000]
["All the 8 hours baby, all the 8!",65000]
[65000,65000]
["ID0328",10809.503829551191]
["Philippines",10809.503829551191]
["Reporting",10809.503829551191]
["PHP",10809.503829551191]
["00 | 0 - 12500",10809.503829551191]
["Unknown",10809.503829551191]
["4 to 6 hours a day",10809.503829551191]
[10809.503829551191,10809.503829551191]
["ID0329",92000]
["USA",92000]
["Manager",92000]
["USD",92000]
["07 | 87500 - 100000",92000]
["Unknown",92000]
["4 to 6 hours a day",92000]
[92000,92000]
["ID0330",22000]
["Mexico",22000]
["Manager",22000]
["USD",22000]
["01 | 12500 - 25000",22000]
["Unknown",22000]
["4 to 6 hours a day",22000]
[22000,22000]
["ID0331",108000]
["USA",108000]
["Manager",108000]
["USD",108000]
["08 | 100000 - 112500",108000]
["Unknown",108000]
["2 to 3 hours per day",108000]
[108000,108000]
["ID0332",61000]
["USA",61000]
["Analyst",61000]
["USD",61000]
["04 | 50000 - 62500",61000]
["Unknown",61000]
["1 or 2 hours a day",61000]
[61000,61000]
["ID0333",63918.498996971248]
["Canada",63918.498996971248]
["Manager",63918.498996971248]
["CAD",63918.498996971248]
["05 | 62500 - 75000",63918.498996971248]
["Unknown",63918.498996971248]
["2 to 3 hours per day",63918.498996971248]
[63918.498996971248,63918.498996971248]
["ID0334",50000]
["USA",50000]
["Analyst",50000]
["USD",50000]
["04 | 50000 - 62500",50000]
["Unknown",50000]
["All the 8 hours baby, all the 8!",50000]
[50000,50000]
["ID0335",150000]
["USA",150000]
["Accountant",150000]
["USD",150000]
["12 | 150000 - 162500",150000]
["Unknown",150000]
["All the 8 hours baby, all the 8!",150000]
[150000,150000]
["ID0336",7123.1666749770275]
["India",7123.1666749770275]
["Analyst",7123.1666749770275]
["INR",7123.1666749770275]
["00 | 0 - 12500",7123.1666749770275]
["Unknown",7123.1666749770275]
["4 to 6 hours a day",7123.1666749770275]
[7123.1666749770275,7123.1666749770275]
["ID0337",150000]
["Israel",150000]
["Manager",150000]
["USD",150000]
["12 | 150000 - 162500",150000]
["Unknown",150000]
["4 to 6 hours a day",150000]
[150000,150000]
["ID0338",45000]
["USA",45000]
["Specialist",45000]
["USD",45000]
["03 | 37500 - 50000",45000]
["Unknown",45000]
["4 to 6 hours a day",45000]
[45000,45000]
["ID0339",135000]
["USA",135000]
["Manager",135000]
["USD",135000]
["10 | 125000 - 137500",135000]
["Unknown",135000]
["All the 8 hours baby, all the 8!",135000]
[135000,135000]
["ID0340",6410.8500074793246]
["India",6410.8500074793246]
["Analyst",6410.8500074793246]
["INR",6410.8500074793246]
["00 | 0 - 12500",6410.8500074793246]
["Unknown",6410.8500074793246]
["2 to 3 hours per day",6410.8500074793246]
[6410.8500074793246,6410.8500074793246]
["ID0341",29000]
["USA",29000]
["Manager",29000]
["USD",29000]
["02 | 25000 - 37500",29000]
["Unknown",29000]
["4 to 6 hours a day",29000]
[29000,29000]
["ID0342",13000]
["India",13000]
["Manager",13000]
["USD",13000]
["01 | 12500 - 25000",13000]
["Unknown",13000]
["All the 8 hours baby, all the 8!",13000]
[13000,13000]
["ID0343",63000]
["USA",63000]
["Analyst",63000]
["USD",63000]
["05 | 62500 - 75000",63000]
["Unknown",63000]
["All the 8 hours baby, all the 8!",63000]
[63000,63000]
["ID0344",95000]
["USA",95000]
["Analyst",95000]
["USD",95000]
["07 | 87500 - 100000",95000]
["Unknown",95000]
["4 to 6 hours a day",95000]
[95000,95000]
["ID0346",100000]
["UK",100000]
["Analyst",100000]
["USD",100000]
["08 | 100000 - 112500",100000]
["Unknown",100000]
["4 to 6 hours a day",100000]
[100000,100000]
["ID0347",3800]
["India",3800]
["Reporting",3800]
["USD",3800]
["00 | 0 - 12500",3800]
["Unknown",3800]
["4 to 6 hours a day",3800]
[3800,3800]
["ID0348",11400]
["Brazil",11400]
["Consultant",11400]
["USD",11400]
["00 | 0 - 12500",11400]
["Unknown",11400]
["4 to 6 hours a day",11400]
[11400,11400]
["ID0349",55068.245289698301]
["Canada",55068.245289698301]
["Analyst",55068.245289698301]
["CAD",55068.245289698301]
["04 | 50000 - 62500",55068.245289698301]
["Unknown",55068.245289698301]
["4 to 6 hours a day",55068.245289698301]
[55068.245289698301,55068.245289698301]
["ID0350",53000]
["USA",53000]
["Manager",53000]
["USD",53000]
["04 | 50000 - 62500",53000]
["Unknown",53000]
["2 to 3 hours per day",53000]
[53000,53000]
["ID0351",130000]
["USA",130000]
["Engineer",130000]
["USD",130000]
["10 | 125000 - 137500",130000]
["Unknown",130000]
["4 to 6 hours a day",130000]
[130000,130000]
["ID0352",6588.9291743537506]
["India",6588.9291743537506]
["Analyst",6588.9291743537506]
["INR",6588.9291743537506]
["00 | 0 - 12500",6588.9291743537506]
["Unknown",6588.9291743537506]
["All the 8 hours baby, all the 8!",6588.9291743537506]
[6588.9291743537506,6588.9291743537506]
["ID0353",157337.8436848523]
["Canada",157337.8436848523]
["Consultant",157337.8436848523]
["CAD",157337.8436848523]
["12 | 150000 - 162500",157337.8436848523]
["Unknown",157337.8436848523]
["2 to 3 hours per day",157337.8436848523]
[157337.8436848523,157337.8436848523]
["ID0354",44200]
["USA",44200]
["Analyst",44200]
["USD",44200]
["03 | 37500 - 50000",44200]
["Unknown",44200]
["All the 8 hours baby, all the 8!",44200]
[44200,44200]
["ID0355",56000]
["USA",56000]
["Manager",56000]
["USD",56000]
["04 | 50000 - 62500",56000]
["Unknown",56000]
["2 to 3 hours per day",56000]
[56000,56000]
["ID0356",72500]
["USA",72500]
["Engineer",72500]
["USD",72500]
["05 | 62500 - 75000",72500]
["Unknown",72500]
["2 to 3 hours per day",72500]
[72500,72500]
["ID0357",73752.11422727452]
["Canada",73752.11422727452]
["Analyst",73752.11422727452]
["CAD",73752.11422727452]
["05 | 62500 - 75000",73752.11422727452]
["Unknown",73752.11422727452]
["4 to 6 hours a day",73752.11422727452]
[73752.11422727452,73752.11422727452]
["ID0358",170000]
["UK",170000]
["Analyst",170000]
["USD",170000]
["13 | 162500 - 175000",170000]
["Unknown",170000]
["Excel ?!? What Excel?",170000]
[170000,170000]
["ID0359",68000]
["USA",68000]
["Manager",68000]
["USD",68000]
["05 | 62500 - 75000",68000]
["Unknown",68000]
["2 to 3 hours per day",68000]
[68000,68000]
["ID0360",75000]
["USA",75000]
["Analyst",75000]
["USD",75000]
["06 | 75000 - 87500",75000]
["Unknown",75000]
["All the 8 hours baby, all the 8!",75000]
[75000,75000]
["ID0361",62500]
["USA",62500]
["CXO or Top Mgmt.",62500]
["USD",62500]
["05 | 62500 - 75000",62500]
["Unknown",62500]
["All the 8 hours baby, all the 8!",62500]
[62500,62500]
["ID0362",25000]
["India",25000]
["Manager",25000]
["USD",25000]
["02 | 25000 - 37500",25000]
["Unknown",25000]
["4 to 6 hours a day",25000]
[25000,25000]
["ID0363",68954.520184280962]
["Sweden",68954.520184280962]
["Consultant",68954.520184280962]
["SEK",68954.520184280962]
["05 | 62500 - 75000",68954.520184280962]
["Unknown",68954.520184280962]
["1 or 2 hours a day",68954.520184280962]
[68954.520184280962,68954.520184280962]
["ID0365",85000]
["USA",85000]
["Analyst",85000]
["USD",85000]
["06 | 75000 - 87500",85000]
["Unknown",85000]
["4 to 6 hours a day",85000]
[85000,85000]
["ID0366",67775.665698893223]
["UK",67775.665698893223]
["Manager",67775.665698893223]
["GBP",67775.665698893223]
["05 | 62500 - 75000",67775.665698893223]
["Unknown",67775.665698893223]
["4 to 6 hours a day",67775.665698893223]
[67775.665698893223,67775.665698893223]
["ID0367",89000]
["USA",89000]
["Manager",89000]
["USD",89000]
["07 | 87500 - 100000",89000]
["Unknown",89000]
["4 to 6 hours a day",89000]
[89000,89000]
["ID0368",35000]
["Brazil",35000]
["Analyst",35000]
["USD",35000]
["02 | 25000 - 37500",35000]
["Unknown",35000]
["All the 8 hours baby, all the 8!",35000]
[35000,35000]
["ID0369",47500]
["USA",47500]
["Manager",47500]
["USD",47500]
["03 | 37500 - 50000",47500]
["Unknown",47500]
["All the 8 hours baby, all the 8!",47500]
[47500,47500]
["ID0370",130000]
["USA",130000]
["Manager",130000]
["USD",130000]
["10 | 125000 - 137500",130000]
["Unknown",130000]
["2 to 3 hours per day",130000]
[130000,130000]
["ID0371",18000]
["India",18000]
["CXO or Top Mgmt.",18000]
["USD",18000]
["01 | 12500 - 25000",18000]
["Unknown",18000]
["2 to 3 hours per day",18000]
[18000,18000]
["ID0372",8547.8000099724322]
["India",8547.8000099724322]
["Manager",8547.8000099724322]
["INR",8547.8000099724322]
["00 | 0 - 12500",8547.8000099724322]
["Unknown",8547.8000099724322]
["1 or 2 hours a day",8547.8000099724322]
[8547.8000099724322,8547.8000099724322]
["ID0373",41932]
["USA",41932]
["Manager",41932]
["USD",41932]
["03 | 37500 - 50000",41932]
["Unknown",41932]
["2 to 3 hours per day",41932]
[41932,41932]
["ID0375",194000]
["USA",194000]
["CXO or Top Mgmt.",194000]
["USD",194000]
["15 | 187500 - 200000",194000]
["Unknown",194000]
["2 to 3 hours per day",194000]
[194000,194000]
["ID0376",160271.25018698312]
["India",160271.25018698312]
["Analyst",160271.25018698312]
["INR",160271.25018698312]
["12 | 150000 - 162500",160271.25018698312]
["Unknown",160271.25018698312]
["4 to 6 hours a day",160271.25018698312]
[160271.25018698312,160271.25018698312]
["ID0377",8903.9583437212841]
["India",8903.9583437212841]
["Manager",8903.9583437212841]
["INR",8903.9583437212841]
["00 | 0 - 12500",8903.9583437212841]
["Unknown",8903.9583437212841]
["2 to 3 hours per day",8903.9583437212841]
[8903.9583437212841,8903.9583437212841]
["ID0378",78668.921842426149]
["Canada",78668.921842426149]
["Analyst",78668.921842426149]
["CAD",78668.921842426149]
["06 | 75000 - 87500",78668.921842426149]
["Unknown",78668.921842426149]
["4 to 6 hours a day",78668.921842426149]
[78668.921842426149,78668.921842426149]
["ID0379",22867.189901848938]
["Portugal",22867.189901848938]
["Manager",22867.189901848938]
["EUR",22867.189901848938]
["01 | 12500 - 25000",22867.189901848938]
["Unknown",22867.189901848938]
["2 to 3 hours per day",22867.189901848938]
[22867.189901848938,22867.189901848938]
["ID0380",94570.696324037053]
["UK",94570.696324037053]
["CXO or Top Mgmt.",94570.696324037053]
["GBP",94570.696324037053]
["07 | 87500 - 100000",94570.696324037053]
["Unknown",94570.696324037053]
["2 to 3 hours per day",94570.696324037053]
[94570.696324037053,94570.696324037053]
["ID0381",95000]
["USA",95000]
["Analyst",95000]
["USD",95000]
["07 | 87500 - 100000",95000]
["Unknown",95000]
["All the 8 hours baby, all the 8!",95000]
[95000,95000]
["ID0382",9616.275011218986]
["India",9616.275011218986]
["Engineer",9616.275011218986]
["INR",9616.275011218986]
["00 | 0 - 12500",9616.275011218986]
["Unknown",9616.275011218986]
["4 to 6 hours a day",9616.275011218986]
[9616.275011218986,9616.275011218986]
["ID0383",48000]
["USA",48000]
["Analyst",48000]
["USD",48000]
["03 | 37500 - 50000",48000]
["Unknown",48000]
["1 or 2 hours a day",48000]
[48000,48000]
["ID0384",46000]
["USA",46000]
["Analyst",46000]
["USD",46000]
["03 | 37500 - 50000",46000]
["Unknown",46000]
["4 to 6 hours a day",46000]
[46000,46000]
["ID0385",15000]
["Ukraine",15000]
["Reporting",15000]
["USD",15000]
["01 | 12500 - 25000",15000]
["Unknown",15000]
["2 to 3 hours per day",15000]
[15000,15000]
["ID0386",11040.908346214392]
["India",11040.908346214392]
["Manager",11040.908346214392]
["INR",11040.908346214392]
["00 | 0 - 12500",11040.908346214392]
["Unknown",11040.908346214392]
["1 or 2 hours a day",11040.908346214392]
[11040.908346214392,11040.908346214392]
["ID0387",44132.991617883956]
["UK",44132.991617883956]
["Manager",44132.991617883956]
["GBP",44132.991617883956]
["03 | 37500 - 50000",44132.991617883956]
["Unknown",44132.991617883956]
["2 to 3 hours per day",44132.991617883956]
[44132.991617883956,44132.991617883956]
["ID0388",47000]
["USA",47000]
["Manager",47000]
["USD",47000]
["03 | 37500 - 50000",47000]
["Unknown",47000]
["2 to 3 hours per day",47000]
[47000,47000]
["ID0389",44000]
["USA",44000]
["Analyst",44000]
["USD",44000]
["03 | 37500 - 50000",44000]
["Unknown",44000]
["2 to 3 hours per day",44000]
[44000,44000]
["ID0390",55000]
["USA",55000]
["Accountant",55000]
["USD",55000]
["04 | 50000 - 62500",55000]
["Unknown",55000]
["4 to 6 hours a day",55000]
[55000,55000]
["ID0391",12000]
["South Africa",12000]
["Reporting",12000]
["USD",12000]
["00 | 0 - 12500",12000]
["Unknown",12000]
["4 to 6 hours a day",12000]
[12000,12000]
["ID0392",50000]
["USA",50000]
["Manager",50000]
["USD",50000]
["04 | 50000 - 62500",50000]
["Unknown",50000]
["2 to 3 hours per day",50000]
[50000,50000]
["ID0393",13355.937515581925]
["India",13355.937515581925]
["Analyst",13355.937515581925]
["INR",13355.937515581925]
["01 | 12500 - 25000",13355.937515581925]
["Unknown",13355.937515581925]
["1 or 2 hours a day",13355.937515581925]
[13355.937515581925,13355.937515581925]
["ID0394",99147]
["Russia",99147]
["Specialist",99147]
["USD",99147]
["07 | 87500 - 100000",99147]
["Unknown",99147]
["4 to 6 hours a day",99147]
[99147,99147]
["ID0395",45880]
["USA",45880]
["Manager",45880]
["USD",45880]
["03 | 37500 - 50000",45880]
["Unknown",45880]
["All the 8 hours baby, all the 8!",45880]
[45880,45880]
["ID0396",70000]
["USA",70000]
["Manager",70000]
["USD",70000]
["05 | 62500 - 75000",70000]
["Unknown",70000]
["4 to 6 hours a day",70000]
[70000,70000]
["ID0397",100000]
["USA",100000]
["Analyst",100000]
["USD",100000]
["08 | 100000 - 112500",100000]
["Unknown",100000]
["All the 8 hours baby, all the 8!",100000]
[100000,100000]
["ID0398",17598.017290051986]
["Bangladesh",17598.017290051986]
["Analyst",17598.017290051986]
["BDT",17598.017290051986]
["01 | 12500 - 25000",17598.017290051986]
["Unknown",17598.017290051986]
["2 to 3 hours per day",17598.017290051986]
[17598.017290051986,17598.017290051986]
["ID0399",85000]
["USA",85000]
["Engineer",85000]
["USD",85000]
["06 | 75000 - 87500",85000]
["Unknown",85000]
["2 to 3 hours per day",85000]
[85000,85000]
["ID0400",47000]
["USA",47000]
["Manager",47000]
["USD",47000]
["03 | 37500 - 50000",47000]
["Unknown",47000]
["4 to 6 hours a day",47000]
[47000,47000]
["ID0401",40000]
["USA",40000]
["Manager",40000]
["USD",40000]
["03 | 37500 - 50000",40000]
["Unknown",40000]
["2 to 3 hours per day",40000]
[40000,40000]
["ID0402",30000]
["India",30000]
["CXO or Top Mgmt.",30000]
["USD",30000]
["02 | 25000 - 37500",30000]
["Unknown",30000]
["2 to 3 hours per day",30000]
[30000,30000]
["ID0403",70802.029658183528]
["Canada",70802.029658183528]
["Controller",70802.029658183528]
["CAD",70802.029658183528]
["05 | 62500 - 75000",70802.029658183528]
["Unknown",70802.029658183528]
["4 to 6 hours a day",70802.029658183528]
[70802.029658183528,70802.029658183528]
["ID0404",34000]
["USA",34000]
["Analyst",34000]
["USD",34000]
["02 | 25000 - 37500",34000]
["Unknown",34000]
["4 to 6 hours a day",34000]
[34000,34000]
["ID0405",52000]
["USA",52000]
["Analyst",52000]
["USD",52000]
["04 | 50000 - 62500",52000]
["Unknown",52000]
["4 to 6 hours a day",52000]
[52000,52000]
["ID0406",5342.3750062327708]
["India",5342.3750062327708]
["Engineer",5342.3750062327708]
["INR",5342.3750062327708]
["00 | 0 - 12500",5342.3750062327708]
["Unknown",5342.3750062327708]
["1 or 2 hours a day",5342.3750062327708]
[5342.3750062327708,5342.3750062327708]
["ID0407",7123.1666749770275]
["India",7123.1666749770275]
["Analyst",7123.1666749770275]
["INR",7123.1666749770275]
["00 | 0 - 12500",7123.1666749770275]
["Unknown",7123.1666749770275]
["4 to 6 hours a day",7123.1666749770275]
[7123.1666749770275,7123.1666749770275]
["ID0408",63586]
["UAE",63586]
["Manager",63586]
["USD",63586]
["05 | 62500 - 75000",63586]
["Unknown",63586]
["2 to 3 hours per day",63586]
[63586,63586]
["ID0409",55166.239522354947]
["UK",55166.239522354947]
["Accountant",55166.239522354947]
["GBP",55166.239522354947]
["04 | 50000 - 62500",55166.239522354947]
["Unknown",55166.239522354947]
["4 to 6 hours a day",55166.239522354947]
[55166.239522354947,55166.239522354947]
["ID0410",60000]
["USA",60000]
["Analyst",60000]
["USD",60000]
["04 | 50000 - 62500",60000]
["Unknown",60000]
["4 to 6 hours a day",60000]
[60000,60000]
["ID0411",19200]
["Romania",19200]
["Manager",19200]
["USD",19200]
["01 | 12500 - 25000",19200]
["Unknown",19200]
["All the 8 hours baby, all the 8!",19200]
[19200,19200]
["ID0412",28109.627547434993]
["Costa Rica",28109.627547434993]
["Analyst",28109.627547434993]
["COSTARICAN",28109.627547434993]
["02 | 25000 - 37500",28109.627547434993]
["Unknown",28109.627547434993]
["All the 8 hours baby, all the 8!",28109.627547434993]
[28109.627547434993,28109.627547434993]
["ID0413",56000]
["USA",56000]
["Analyst",56000]
["USD",56000]
["04 | 50000 - 62500",56000]
["Unknown",56000]
["4 to 6 hours a day",56000]
[56000,56000]
["ID0414",52000]
["USA",52000]
["Accountant",52000]
["USD",52000]
["04 | 50000 - 62500",52000]
["Unknown",52000]
["4 to 6 hours a day",52000]
[52000,52000]
["ID0415",51613]
["USA",51613]
["Analyst",51613]
["USD",51613]
["04 | 50000 - 62500",51613]
["Unknown",51613]
["All the 8 hours baby, all the 8!",51613]
[51613,51613]
["ID0416",35000]
["Russia",35000]
["Analyst",35000]
["USD",35000]
["02 | 25000 - 37500",35000]
["Unknown",35000]
["4 to 6 hours a day",35000]
[35000,35000]
["ID0417",56000]
["USA",56000]
["Manager",56000]
["USD",56000]
["04 | 50000 - 62500",56000]
["Unknown",56000]
["All the 8 hours baby, all the 8!",56000]
[56000,56000]
["ID0418",115000]
["USA",115000]
["Consultant",115000]
["USD",115000]
["09 | 112500 - 125000",115000]
["Unknown",115000]
["2 to 3 hours per day",115000]
[115000,115000]
["ID0419",104027.76595644075]
["UK",104027.76595644075]
["Manager",104027.76595644075]
["GBP",104027.76595644075]
["08 | 100000 - 112500",104027.76595644075]
["Unknown",104027.76595644075]
["1 or 2 hours a day",104027.76595644075]
[104027.76595644075,104027.76595644075]
["ID0420",3561.5833374885137]
["India",3561.5833374885137]
["Consultant",3561.5833374885137]
["INR",3561.5833374885137]
["00 | 0 - 12500",3561.5833374885137]
["Unknown",3561.5833374885137]
["1 or 2 hours a day",3561.5833374885137]
[3561.5833374885137,3561.5833374885137]
["ID0421",72000]
["USA",72000]
["CXO or Top Mgmt.",72000]
["USD",72000]
["05 | 62500 - 75000",72000]
["Unknown",72000]
["4 to 6 hours a day",72000]
[72000,72000]
["ID0422",90000]
["USA",90000]
["Analyst",90000]
["USD",90000]
["07 | 87500 - 100000",90000]
["Unknown",90000]
["All the 8 hours baby, all the 8!",90000]
[90000,90000]
["ID0423",8500]
["Romania",8500]
["Accountant",8500]
["USD",8500]
["00 | 0 - 12500",8500]
["Unknown",8500]
["2 to 3 hours per day",8500]
[8500,8500]
["ID0424",12000]
["iran",12000]
["Analyst",12000]
["USD",12000]
["00 | 0 - 12500",12000]
["Unknown",12000]
["2 to 3 hours per day",12000]
[12000,12000]
["ID0426",89944.280280605832]
["Finland",89944.280280605832]
["Analyst",89944.280280605832]
["EUR",89944.280280605832]
["07 | 87500 - 100000",89944.280280605832]
["Unknown",89944.280280605832]
["All the 8 hours baby, all the 8!",89944.280280605832]
[89944.280280605832,89944.280280605832]
["ID0427",4273.9000049862161]
["India",4273.9000049862161]
["Manager",4273.9000049862161]
["INR",4273.9000049862161]
["00 | 0 - 12500",4273.9000049862161]
["Unknown",4273.9000049862161]
["All the 8 hours baby, all the 8!",4273.9000049862161]
[4273.9000049862161,4273.9000049862161]
["ID0428",30000]
["USA",30000]
["Manager",30000]
["USD",30000]
["02 | 25000 - 37500",30000]
["Unknown",30000]
["2 to 3 hours per day",30000]
[30000,30000]
["ID0429",30000]
["Romania",30000]
["Reporting",30000]
["USD",30000]
["02 | 25000 - 37500",30000]
["Unknown",30000]
["1 or 2 hours a day",30000]
[30000,30000]
["ID0430",24000]
["USA",24000]
["Engineer",24000]
["USD",24000]
["01 | 12500 - 25000",24000]
["Unknown",24000]
["1 or 2 hours a day",24000]
[24000,24000]
["ID0431",60000]
["USA",60000]
["Manager",60000]
["USD",60000]
["04 | 50000 - 62500",60000]
["Unknown",60000]
["4 to 6 hours a day",60000]
[60000,60000]
["ID0432",76600]
["USA",76600]
["Analyst",76600]
["USD",76600]
["06 | 75000 - 87500",76600]
["Unknown",76600]
["2 to 3 hours per day",76600]
[76600,76600]
["ID0433",102451.58768437347]
["UK",102451.58768437347]
["Controller",102451.58768437347]
["GBP",102451.58768437347]
["08 | 100000 - 112500",102451.58768437347]
["Unknown",102451.58768437347]
["2 to 3 hours per day",102451.58768437347]
[102451.58768437347,102451.58768437347]
["ID0434",6629]
["Dominican Republic",6629]
["Engineer",6629]
["USD",6629]
["00 | 0 - 12500",6629]
["Unknown",6629]
["All the 8 hours baby, all the 8!",6629]
[6629,6629]
["ID0435",90000]
["USA",90000]
["Analyst",90000]
["USD",90000]
["07 | 87500 - 100000",90000]
["Unknown",90000]
["1 or 2 hours a day",90000]
[90000,90000]
["ID0436",8500]
["Colombia",8500]
["Analyst",8500]
["USD",8500]
["00 | 0 - 12500",8500]
["Unknown",8500]
["1 or 2 hours a day",8500]
[8500,8500]
["ID0437",75000]
["USA",75000]
["Analyst",75000]
["USD",75000]
["06 | 75000 - 87500",75000]
["Unknown",75000]
["4 to 6 hours a day",75000]
[75000,75000]
["ID0438",72000]
["USA",72000]
["Analyst",72000]
["USD",72000]
["05 | 62500 - 75000",72000]
["Unknown",72000]
["2 to 3 hours per day",72000]
[72000,72000]
["ID0439",65000]
["USA",65000]
["Analyst",65000]
["USD",65000]
["05 | 62500 - 75000",65000]
["Unknown",65000]
["4 to 6 hours a day",65000]
[65000,65000]
["ID0440",120000]
["USA",120000]
["CXO or Top Mgmt.",120000]
["USD",120000]
["09 | 112500 - 125000",120000]
["Unknown",120000]
["1 or 2 hours a day",120000]
[120000,120000]
["ID0441",71231.666749770273]
["India",71231.666749770273]
["Accountant",71231.666749770273]
["INR",71231.666749770273]
["05 | 62500 - 75000",71231.666749770273]
["Unknown",71231.666749770273]
["All the 8 hours baby, all the 8!",71231.666749770273]
[71231.666749770273,71231.666749770273]
["ID0442",5342.3750062327708]
["India",5342.3750062327708]
["Manager",5342.3750062327708]
["INR",5342.3750062327708]
["00 | 0 - 12500",5342.3750062327708]
["Unknown",5342.3750062327708]
["4 to 6 hours a day",5342.3750062327708]
[5342.3750062327708,5342.3750062327708]
["ID0443",19588.708356186824]
["India",19588.708356186824]
["Manager",19588.708356186824]
["INR",19588.708356186824]
["01 | 12500 - 25000",19588.708356186824]
["Unknown",19588.708356186824]
["4 to 6 hours a day",19588.708356186824]
[19588.708356186824,19588.708356186824]
["ID0444",80000]
["USA",80000]
["Analyst",80000]
["USD",80000]
["06 | 75000 - 87500",80000]
["Unknown",80000]
["4 to 6 hours a day",80000]
[80000,80000]
["ID0445",53423.750062327701]
["India",53423.750062327701]
["Manager",53423.750062327701]
["INR",53423.750062327701]
["04 | 50000 - 62500",53423.750062327701]
["Unknown",53423.750062327701]
["4 to 6 hours a day",53423.750062327701]
[53423.750062327701,53423.750062327701]
["ID0446",108169.76753333595]
["Canada",108169.76753333595]
["Controller",108169.76753333595]
["CAD",108169.76753333595]
["08 | 100000 - 112500",108169.76753333595]
["Unknown",108169.76753333595]
["2 to 3 hours per day",108169.76753333595]
[108169.76753333595,108169.76753333595]
["ID0447",51000]
["USA",51000]
["Manager",51000]
["USD",51000]
["04 | 50000 - 62500",51000]
["Unknown",51000]
["2 to 3 hours per day",51000]
[51000,51000]
["ID0448",5000]
["India",5000]
["Reporting",5000]
["USD",5000]
["00 | 0 - 12500",5000]
["Unknown",5000]
["4 to 6 hours a day",5000]
[5000,5000]
["ID0449",74000]
["USA",74000]
["Engineer",74000]
["USD",74000]
["05 | 62500 - 75000",74000]
["Unknown",74000]
["4 to 6 hours a day",74000]
[74000,74000]
["ID0450",94570.696324037053]
["UK",94570.696324037053]
["Consultant",94570.696324037053]
["GBP",94570.696324037053]
["07 | 87500 - 100000",94570.696324037053]
["Unknown",94570.696324037053]
["4 to 6 hours a day",94570.696324037053]
[94570.696324037053,94570.696324037053]
["ID0451",50000]
["USA",50000]
["Analyst",50000]
["USD",50000]
["04 | 50000 - 62500",50000]
["Unknown",50000]
["4 to 6 hours a day",50000]
[50000,50000]
["ID0452",8903.9583437212841]
["India",8903.9583437212841]
["Analyst",8903.9583437212841]
["INR",8903.9583437212841]
["00 | 0 - 12500",8903.9583437212841]
["Unknown",8903.9583437212841]
["4 to 6 hours a day",8903.9583437212841]
[8903.9583437212841,8903.9583437212841]
["ID0453",78000]
["Somalia",78000]
["Manager",78000]
["USD",78000]
["06 | 75000 - 87500",78000]
["Unknown",78000]
["4 to 6 hours a day",78000]
[78000,78000]
["ID0454",16027.125018698311]
["India",16027.125018698311]
["Manager",16027.125018698311]
["INR",16027.125018698311]
["01 | 12500 - 25000",16027.125018698311]
["Unknown",16027.125018698311]
["1 or 2 hours a day",16027.125018698311]
[16027.125018698311,16027.125018698311]
["ID0455",7500]
["Romania",7500]
["Analyst",7500]
["USD",7500]
["00 | 0 - 12500",7500]
["Unknown",7500]
["All the 8 hours baby, all the 8!",7500]
[7500,7500]
["ID0456",60000]
["USA",60000]
["Analyst",60000]
["USD",60000]
["04 | 50000 - 62500",60000]
["Unknown",60000]
["All the 8 hours baby, all the 8!",60000]
[60000,60000]
["ID0457",14246.333349954055]
["India",14246.333349954055]
["CXO or Top Mgmt.",14246.333349954055]
["INR",14246.333349954055]
["01 | 12500 - 25000",14246.333349954055]
["Unknown",14246.333349954055]
["All the 8 hours baby, all the 8!",14246.333349954055]
[14246.333349954055,14246.333349954055]
["ID0458",80000]
["USA",80000]
["Manager",80000]
["USD",80000]
["06 | 75000 - 87500",80000]
["Unknown",80000]
["1 or 2 hours a day",80000]
[80000,80000]
["ID0459",59894.774338556796]
["UK",59894.774338556796]
["Accountant",59894.774338556796]
["GBP",59894.774338556796]
["04 | 50000 - 62500",59894.774338556796]
["Unknown",59894.774338556796]
["4 to 6 hours a day",59894.774338556796]
[59894.774338556796,59894.774338556796]
["ID0460",51134.799197576998]
["Canada",51134.799197576998]
["Manager",51134.799197576998]
["CAD",51134.799197576998]
["04 | 50000 - 62500",51134.799197576998]
["Unknown",51134.799197576998]
["4 to 6 hours a day",51134.799197576998]
[51134.799197576998,51134.799197576998]
["ID0461",125000]
["USA",125000]
["Manager",125000]
["USD",125000]
["10 | 125000 - 137500",125000]
["Unknown",125000]
["2 to 3 hours per day",125000]
[125000,125000]
["ID0462",52000]
["USA",52000]
["Analyst",52000]
["USD",52000]
["04 | 50000 - 62500",52000]
["Unknown",52000]
["2 to 3 hours per day",52000]
[52000,52000]
["ID0463",45000]
["USA",45000]
["Analyst",45000]
["USD",45000]
["03 | 37500 - 50000",45000]
["Unknown",45000]
["4 to 6 hours a day",45000]
[45000,45000]
["ID0464",39404.456801682099]
["UK",39404.456801682099]
["Analyst",39404.456801682099]
["GBP",39404.456801682099]
["03 | 37500 - 50000",39404.456801682099]
["Unknown",39404.456801682099]
["4 to 6 hours a day",39404.456801682099]
[39404.456801682099,39404.456801682099]
["ID0465",60000]
["USA",60000]
["Manager",60000]
["USD",60000]
["04 | 50000 - 62500",60000]
["Unknown",60000]
["All the 8 hours baby, all the 8!",60000]
[60000,60000]
["ID0466",68835.306612122877]
["Canada",68835.306612122877]
["Manager",68835.306612122877]
["CAD",68835.306612122877]
["05 | 62500 - 75000",68835.306612122877]
["Unknown",68835.306612122877]
["1 or 2 hours a day",68835.306612122877]
[68835.306612122877,68835.306612122877]
["ID0467",5250]
["Republic of Georgia",5250]
["Specialist",5250]
["USD",5250]
["00 | 0 - 12500",5250]
["Unknown",5250]
["4 to 6 hours a day",5250]
[5250,5250]
["ID0468",85552.452503638444]
["Canada",85552.452503638444]
["Manager",85552.452503638444]
["CAD",85552.452503638444]
["06 | 75000 - 87500",85552.452503638444]
["Unknown",85552.452503638444]
["4 to 6 hours a day",85552.452503638444]
[85552.452503638444,85552.452503638444]
["ID0469",2225.989585930321]
["India",2225.989585930321]
["Analyst",2225.989585930321]
["INR",2225.989585930321]
["00 | 0 - 12500",2225.989585930321]
["Unknown",2225.989585930321]
["4 to 6 hours a day",2225.989585930321]
[2225.989585930321,2225.989585930321]
["ID0470",150000]
["USA",150000]
["CXO or Top Mgmt.",150000]
["USD",150000]
["12 | 150000 - 162500",150000]
["Unknown",150000]
["2 to 3 hours per day",150000]
[150000,150000]
["ID0471",50000]
["USA",50000]
["Analyst",50000]
["USD",50000]
["04 | 50000 - 62500",50000]
["Unknown",50000]
["4 to 6 hours a day",50000]
[50000,50000]
["ID0472",70000]
["USA",70000]
["Analyst",70000]
["USD",70000]
["05 | 62500 - 75000",70000]
["Unknown",70000]
["4 to 6 hours a day",70000]
[70000,70000]
["ID0473",44921.080753917595]
["UK",44921.080753917595]
["Manager",44921.080753917595]
["GBP",44921.080753917595]
["03 | 37500 - 50000",44921.080753917595]
["Unknown",44921.080753917595]
["2 to 3 hours per day",44921.080753917595]
[44921.080753917595,44921.080753917595]
["ID0474",20000]
["India",20000]
["Specialist",20000]
["USD",20000]
["01 | 12500 - 25000",20000]
["Unknown",20000]
["4 to 6 hours a day",20000]
[20000,20000]
["ID0476",12000]
["Estonia",12000]
["Analyst",12000]
["USD",12000]
["00 | 0 - 12500",12000]
["Unknown",12000]
["All the 8 hours baby, all the 8!",12000]
[12000,12000]
["ID0478",30000]
["USA",30000]
["Analyst",30000]
["USD",30000]
["02 | 25000 - 37500",30000]
["Unknown",30000]
["Excel ?!? What Excel?",30000]
[30000,30000]
["ID0479",24000]
["Mozambique",24000]
["Engineer",24000]
["USD",24000]
["01 | 12500 - 25000",24000]
["Unknown",24000]
["2 to 3 hours per day",24000]
[24000,24000]
["ID0480",92000]
["USA",92000]
["Engineer",92000]
["USD",92000]
["07 | 87500 - 100000",92000]
["Unknown",92000]
["1 or 2 hours a day",92000]
[92000,92000]
["ID0481",52000]
["USA",52000]
["Analyst",52000]
["USD",52000]
["04 | 50000 - 62500",52000]
["Unknown",52000]
["4 to 6 hours a day",52000]
[52000,52000]
["ID0482",169000]
["USA",169000]
["CXO or Top Mgmt.",169000]
["USD",169000]
["13 | 162500 - 175000",169000]
["Unknown",169000]
["2 to 3 hours per day",169000]
[169000,169000]
["ID0484",110000]
["Norway",110000]
["Accountant",110000]
["USD",110000]
["08 | 100000 - 112500",110000]
["Unknown",110000]
["2 to 3 hours per day",110000]
[110000,110000]
["ID0485",131675.52225194403]
["South Africa",131675.52225194403]
["Manager",131675.52225194403]
["ZAR",131675.52225194403]
["10 | 125000 - 137500",131675.52225194403]
["Unknown",131675.52225194403]
["2 to 3 hours per day",131675.52225194403]
[131675.52225194403,131675.52225194403]
["ID0486",92994.518051969761]
["UK",92994.518051969761]
["Consultant",92994.518051969761]
["GBP",92994.518051969761]
["07 | 87500 - 100000",92994.518051969761]
["Unknown",92994.518051969761]
["2 to 3 hours per day",92994.518051969761]
[92994.518051969761,92994.518051969761]
["ID0487",50000]
["USA",50000]
["Analyst",50000]
["USD",50000]
["04 | 50000 - 62500",50000]
["Unknown",50000]
["4 to 6 hours a day",50000]
[50000,50000]
["ID0488",65000]
["USA",65000]
["Analyst",65000]
["USD",65000]
["05 | 62500 - 75000",65000]
["Unknown",65000]
["2 to 3 hours per day",65000]
[65000,65000]
["ID0489",45234.630059395036]
["Canada",45234.630059395036]
["Analyst",45234.630059395036]
["CAD",45234.630059395036]
["03 | 37500 - 50000",45234.630059395036]
["Unknown",45234.630059395036]
["All the 8 hours baby, all the 8!",45234.630059395036]
[45234.630059395036,45234.630059395036]
["ID0490",55000]
["USA",55000]
["Analyst",55000]
["USD",55000]
["04 | 50000 - 62500",55000]
["Unknown",55000]
["2 to 3 hours per day",55000]
[55000,55000]
["ID0491",20000]
["India",20000]
["Consultant",20000]
["USD",20000]
["01 | 12500 - 25000",20000]
["Unknown",20000]
["2 to 3 hours per day",20000]
[20000,20000]
["ID0492",6000]
["India",6000]
["Reporting",6000]
["USD",6000]
["00 | 0 - 12500",6000]
["Unknown",6000]
["All the 8 hours baby, all the 8!",6000]
[6000,6000]
["ID0494",44391.484854502989]
["UK",44391.484854502989]
["Manager",44391.484854502989]
["GBP",44391.484854502989]
["03 | 37500 - 50000",44391.484854502989]
["Unknown",44391.484854502989]
["4 to 6 hours a day",44391.484854502989]
[44391.484854502989,44391.484854502989]
["ID0495",40000]
["USA",40000]
["Analyst",40000]
["USD",40000]
["03 | 37500 - 50000",40000]
["Unknown",40000]
["2 to 3 hours per day",40000]
[40000,40000]
["ID0496",108000]
["Norway",108000]
["Manager",108000]
["USD",108000]
["08 | 100000 - 112500",108000]
["Unknown",108000]
["4 to 6 hours a day",108000]
[108000,108000]
["ID0497",3561.5833374885137]
["India",3561.5833374885137]
["Analyst",3561.5833374885137]
["INR",3561.5833374885137]
["00 | 0 - 12500",3561.5833374885137]
["Unknown",3561.5833374885137]
["2 to 3 hours per day",3561.5833374885137]
[3561.5833374885137,3561.5833374885137]
["ID0498",84000]
["USA",84000]
["Analyst",84000]
["USD",84000]
["06 | 75000 - 87500",84000]
["Unknown",84000]
["All the 8 hours baby, all the 8!",84000]
[84000,84000]
["ID0499",52013.882978220376]
["UK",52013.882978220376]
["Manager",52013.882978220376]
["GBP",52013.882978220376]
["04 | 50000 - 62500",52013.882978220376]
["Unknown",52013.882978220376]
["4 to 6 hours a day",52013.882978220376]
[52013.882978220376,52013.882978220376]
["ID0500",12821.700014958649]
["India",12821.700014958649]
["Manager",12821.700014958649]
["INR",12821.700014958649]
["01 | 12500 - 25000",12821.700014958649]
["Unknown",12821.700014958649]
["2 to 3 hours per day",12821.700014958649]
[12821.700014958649,12821.700014958649]
["ID0501",67360.264327577388]
["Canada",67360.264327577388]
["Analyst",67360.264327577388]
["CAD",67360.264327577388]
["05 | 62500 - 75000",67360.264327577388]
["Unknown",67360.264327577388]
["4 to 6 hours a day",67360.264327577388]
[67360.264327577388,67360.264327577388]
["ID0502",23000]
["Hungary",23000]
["Manager",23000]
["USD",23000]
["01 | 12500 - 25000",23000]
["Unknown",23000]
["4 to 6 hours a day",23000]
[23000,23000]
["ID0503",91418.339779902482]
["UK",91418.339779902482]
["Manager",91418.339779902482]
["GBP",91418.339779902482]
["07 | 87500 - 100000",91418.339779902482]
["Unknown",91418.339779902482]
["All the 8 hours baby, all the 8!",91418.339779902482]
[91418.339779902482,91418.339779902482]
["ID0504",77000]
["USA",77000]
["Analyst",77000]
["USD",77000]
["06 | 75000 - 87500",77000]
["Unknown",77000]
["All the 8 hours baby, all the 8!",77000]
[77000,77000]
["ID0505",100000]
["USA",100000]
["Analyst",100000]
["USD",100000]
["08 | 100000 - 112500",100000]
["Unknown",100000]
["4 to 6 hours a day",100000]
[100000,100000]
["ID0506",55500]
["UAE",55500]
["Controller",55500]
["USD",55500]
["04 | 50000 - 62500",55500]
["Unknown",55500]
["4 to 6 hours a day",55500]
[55500,55500]
["ID0507",19055.991584874118]
["Spain",19055.991584874118]
["Analyst",19055.991584874118]
["EUR",19055.991584874118]
["01 | 12500 - 25000",19055.991584874118]
["Unknown",19055.991584874118]
["All the 8 hours baby, all the 8!",19055.991584874118]
[19055.991584874118,19055.991584874118]
["ID0508",10684.750012465542]
["India",10684.750012465542]
["Manager",10684.750012465542]
["INR",10684.750012465542]
["00 | 0 - 12500",10684.750012465542]
["Unknown",10684.750012465542]
["4 to 6 hours a day",10684.750012465542]
[10684.750012465542,10684.750012465542]
["ID0509",8400]
["India",8400]
["Manager",8400]
["USD",8400]
["00 | 0 - 12500",8400]
["Unknown",8400]
["4 to 6 hours a day",8400]
[8400,8400]
["ID0510",8903.9583437212841]
["India",8903.9583437212841]
["Manager",8903.9583437212841]
["INR",8903.9583437212841]
["00 | 0 - 12500",8903.9583437212841]
["Unknown",8903.9583437212841]
["2 to 3 hours per day",8903.9583437212841]
[8903.9583437212841,8903.9583437212841]
["ID0511",12000]
["Brazil",12000]
["Analyst",12000]
["USD",12000]
["00 | 0 - 12500",12000]
["Unknown",12000]
["All the 8 hours baby, all the 8!",12000]
[12000,12000]
["ID0512",65000]
["USA",65000]
["Manager",65000]
["USD",65000]
["05 | 62500 - 75000",65000]
["Unknown",65000]
["All the 8 hours baby, all the 8!",65000]
[65000,65000]
["ID0513",25849.323661903458]
["UK",25849.323661903458]
["Analyst",25849.323661903458]
["GBP",25849.323661903458]
["02 | 25000 - 37500",25849.323661903458]
["Unknown",25849.323661903458]
["4 to 6 hours a day",25849.323661903458]
[25849.323661903458,25849.323661903458]
["ID0514",122941.90522124816]
["UK",122941.90522124816]
["Analyst",122941.90522124816]
["GBP",122941.90522124816]
["09 | 112500 - 125000",122941.90522124816]
["Unknown",122941.90522124816]
["1 or 2 hours a day",122941.90522124816]
[122941.90522124816,122941.90522124816]
["ID0515",76000]
["USA",76000]
["Manager",76000]
["USD",76000]
["06 | 75000 - 87500",76000]
["Unknown",76000]
["2 to 3 hours per day",76000]
[76000,76000]
["ID0516",150000]
["USA",150000]
["Consultant",150000]
["USD",150000]
["12 | 150000 - 162500",150000]
["Unknown",150000]
["All the 8 hours baby, all the 8!",150000]
[150000,150000]
["ID0517",54000]
["USA",54000]
["Analyst",54000]
["USD",54000]
["04 | 50000 - 62500",54000]
["Unknown",54000]
["4 to 6 hours a day",54000]
[54000,54000]
["ID0518",57000]
["Israel",57000]
["Manager",57000]
["USD",57000]
["04 | 50000 - 62500",57000]
["Unknown",57000]
["4 to 6 hours a day",57000]
[57000,57000]
["ID0519",61000]
["USA",61000]
["Accountant",61000]
["USD",61000]
["04 | 50000 - 62500",61000]
["Unknown",61000]
["4 to 6 hours a day",61000]
[61000,61000]
["ID0520",70000]
["USA",70000]
["Analyst",70000]
["USD",70000]
["05 | 62500 - 75000",70000]
["Unknown",70000]
["All the 8 hours baby, all the 8!",70000]
[70000,70000]
["ID0521",15000]
["India",15000]
["Manager",15000]
["USD",15000]
["01 | 12500 - 25000",15000]
["Unknown",15000]
["4 to 6 hours a day",15000]
[15000,15000]
["ID0522",86093.301341305123]
["Canada",86093.301341305123]
["Manager",86093.301341305123]
["CAD",86093.301341305123]
["06 | 75000 - 87500",86093.301341305123]
["Unknown",86093.301341305123]
["4 to 6 hours a day",86093.301341305123]
[86093.301341305123,86093.301341305123]
["ID0523",72600]
["USA",72600]
["Manager",72600]
["USD",72600]
["05 | 62500 - 75000",72600]
["Unknown",72600]
["2 to 3 hours per day",72600]
[72600,72600]
["ID0524",100000]
["USA",100000]
["CXO or Top Mgmt.",100000]
["USD",100000]
["08 | 100000 - 112500",100000]
["Unknown",100000]
["2 to 3 hours per day",100000]
[100000,100000]
["ID0525",104000]
["USA",104000]
["Analyst",104000]
["USD",104000]
["08 | 100000 - 112500",104000]
["Unknown",104000]
["4 to 6 hours a day",104000]
[104000,104000]
["ID0526",10684.750012465542]
["India",10684.750012465542]
["Manager",10684.750012465542]
["INR",10684.750012465542]
["00 | 0 - 12500",10684.750012465542]
["Unknown",10684.750012465542]
["4 to 6 hours a day",10684.750012465542]
[10684.750012465542,10684.750012465542]
["ID0527",200000]
["USA",200000]
["CXO or Top Mgmt.",200000]
["USD",200000]
["16 | 200000 - 212500",200000]
["Unknown",200000]
["2 to 3 hours per day",200000]
[200000,200000]
["ID0528",62564.631571458704]
["Netherlands",62564.631571458704]
["Accountant",62564.631571458704]
["EUR",62564.631571458704]
["05 | 62500 - 75000",62564.631571458704]
["Unknown",62564.631571458704]
["All the 8 hours baby, all the 8!",62564.631571458704]
[62564.631571458704,62564.631571458704]
["ID0529",57530.506930455871]
["UK",57530.506930455871]
["Manager",57530.506930455871]
["GBP",57530.506930455871]
["04 | 50000 - 62500",57530.506930455871]
["Unknown",57530.506930455871]
["2 to 3 hours per day",57530.506930455871]
[57530.506930455871,57530.506930455871]
["ID0530",82300]
["USA",82300]
["Manager",82300]
["USD",82300]
["06 | 75000 - 87500",82300]
["Unknown",82300]
["2 to 3 hours per day",82300]
[82300,82300]
["ID0531",95000]
["USA",95000]
["Consultant",95000]
["USD",95000]
["07 | 87500 - 100000",95000]
["Unknown",95000]
["4 to 6 hours a day",95000]
[95000,95000]
["ID0533",72000]
["Russia",72000]
["Analyst",72000]
["USD",72000]
["05 | 62500 - 75000",72000]
["Unknown",72000]
["2 to 3 hours per day",72000]
[72000,72000]
["ID0534",61194.579384158147]
["Australia",61194.579384158147]
["Analyst",61194.579384158147]
["AUD",61194.579384158147]
["04 | 50000 - 62500",61194.579384158147]
["Unknown",61194.579384158147]
["2 to 3 hours per day",61194.579384158147]
[61194.579384158147,61194.579384158147]
["ID0535",120000]
["New Zealand",120000]
["Manager",120000]
["USD",120000]
["09 | 112500 - 125000",120000]
["Unknown",120000]
["2 to 3 hours per day",120000]
[120000,120000]
["ID0536",95000]
["Central America",95000]
["CXO or Top Mgmt.",95000]
["USD",95000]
["07 | 87500 - 100000",95000]
["Unknown",95000]
["2 to 3 hours per day",95000]
[95000,95000]
["ID0537",50000]
["USA",50000]
["Analyst",50000]
["USD",50000]
["04 | 50000 - 62500",50000]
["Unknown",50000]
["2 to 3 hours per day",50000]
[50000,50000]
["ID0538",115061.01386091174]
["UK",115061.01386091174]
["Manager",115061.01386091174]
["GBP",115061.01386091174]
["09 | 112500 - 125000",115061.01386091174]
["Unknown",115061.01386091174]
["4 to 6 hours a day",115061.01386091174]
[115061.01386091174,115061.01386091174]
["ID0539",50000]
["Self-employed",50000]
["Analyst",50000]
["USD",50000]
["04 | 50000 - 62500",50000]
["Unknown",50000]
["4 to 6 hours a day",50000]
[50000,50000]
["ID0540",46000]
["USA",46000]
["Analyst",46000]
["USD",46000]
["03 | 37500 - 50000",46000]
["Unknown",46000]
["2 to 3 hours per day",46000]
[46000,46000]
["ID0541",6368.453230079479]
["Pakistan",6368.453230079479]
["Consultant",6368.453230079479]
["PKR",6368.453230079479]
["00 | 0 - 12500",6368.453230079479]
["Unknown",6368.453230079479]
["4 to 6 hours a day",6368.453230079479]
[6368.453230079479,6368.453230079479]
["ID0543",86692.320794224041]
["Australia",86692.320794224041]
["Analyst",86692.320794224041]
["AUD",86692.320794224041]
["06 | 75000 - 87500",86692.320794224041]
["Unknown",86692.320794224041]
["4 to 6 hours a day",86692.320794224041]
[86692.320794224041,86692.320794224041]
["ID0544",8013.5625093491553]
["India",8013.5625093491553]
["Manager",8013.5625093491553]
["INR",8013.5625093491553]
["00 | 0 - 12500",8013.5625093491553]
["Unknown",8013.5625093491553]
["All the 8 hours baby, all the 8!",8013.5625093491553]
[8013.5625093491553,8013.5625093491553]
["ID0545",43000]
["USA",43000]
["Accountant",43000]
["USD",43000]
["03 | 37500 - 50000",43000]
["Unknown",43000]
["All the 8 hours baby, all the 8!",43000]
[43000,43000]
["ID0546",18000]
["Brazil",18000]
["Engineer",18000]
["USD",18000]
["01 | 12500 - 25000",18000]
["Unknown",18000]
["4 to 6 hours a day",18000]
[18000,18000]
["ID0547",55000]
["USA",55000]
["Analyst",55000]
["USD",55000]
["04 | 50000 - 62500",55000]
["Unknown",55000]
["2 to 3 hours per day",55000]
[55000,55000]
["ID0548",8903.9583437212841]
["India",8903.9583437212841]
["Analyst",8903.9583437212841]
["INR",8903.9583437212841]
["00 | 0 - 12500",8903.9583437212841]
["Unknown",8903.9583437212841]
["All the 8 hours baby, all the 8!",8903.9583437212841]
[8903.9583437212841,8903.9583437212841]
["ID0549",45000]
["USA",45000]
["Reporting",45000]
["USD",45000]
["03 | 37500 - 50000",45000]
["Unknown",45000]
["All the 8 hours baby, all the 8!",45000]
[45000,45000]
["ID0550",50000]
["USA",50000]
["Manager",50000]
["USD",50000]
["04 | 50000 - 62500",50000]
["Unknown",50000]
["4 to 6 hours a day",50000]
[50000,50000]
["ID0551",80000]
["USA",80000]
["Analyst",80000]
["USD",80000]
["06 | 75000 - 87500",80000]
["Unknown",80000]
["All the 8 hours baby, all the 8!",80000]
[80000,80000]
["ID0552",67000]
["USA",67000]
["Analyst",67000]
["USD",67000]
["05 | 62500 - 75000",67000]
["Unknown",67000]
["4 to 6 hours a day",67000]
[67000,67000]
["ID0553",111000]
["Japan",111000]
["Analyst",111000]
["USD",111000]
["08 | 100000 - 112500",111000]
["Unknown",111000]
["All the 8 hours baby, all the 8!",111000]
[111000,111000]
["ID0554",120000]
["USA",120000]
["CXO or Top Mgmt.",120000]
["USD",120000]
["09 | 112500 - 125000",120000]
["Unknown",120000]
["4 to 6 hours a day",120000]
[120000,120000]
["ID0555",31523.565441345683]
["UK",31523.565441345683]
["Consultant",31523.565441345683]
["GBP",31523.565441345683]
["02 | 25000 - 37500",31523.565441345683]
["Unknown",31523.565441345683]
["4 to 6 hours a day",31523.565441345683]
[31523.565441345683,31523.565441345683]
["ID0556",78533.043543002947]
["Australia",78533.043543002947]
["Analyst",78533.043543002947]
["AUD",78533.043543002947]
["06 | 75000 - 87500",78533.043543002947]
["Unknown",78533.043543002947]
["2 to 3 hours per day",78533.043543002947]
[78533.043543002947,78533.043543002947]
["ID0557",60000]
["USA",60000]
["Specialist",60000]
["USD",60000]
["04 | 50000 - 62500",60000]
["Unknown",60000]
["1 or 2 hours a day",60000]
[60000,60000]
["ID0558",35000]
["USA",35000]
["Analyst",35000]
["USD",35000]
["02 | 25000 - 37500",35000]
["Unknown",35000]
["2 to 3 hours per day",35000]
[35000,35000]
["ID0559",63519.971949580387]
["Panama",63519.971949580387]
["Manager",63519.971949580387]
["EUR",63519.971949580387]
["05 | 62500 - 75000",63519.971949580387]
["Unknown",63519.971949580387]
["2 to 3 hours per day",63519.971949580387]
[63519.971949580387,63519.971949580387]
["ID0560",54000]
["USA",54000]
["Specialist",54000]
["USD",54000]
["04 | 50000 - 62500",54000]
[5,54000]
["All the 8 hours baby, all the 8!",54000]
[54000,54000]
["ID0561",15600]
["Brazil",15600]
["Controller",15600]
["USD",15600]
["01 | 12500 - 25000",15600]
[20,15600]
["4 to 6 hours a day",15600]
[15600,15600]
["ID0562",35000]
["USA",35000]
["Analyst",35000]
["USD",35000]
["02 | 25000 - 37500",35000]
[7,35000]
["1 or 2 hours a day",35000]
[35000,35000]
["ID0563",188000]
["USA",188000]
["CXO or Top Mgmt.",188000]
["USD",188000]
["15 | 187500 - 200000",188000]
[20,188000]
["1 or 2 hours a day",188000]
[188000,188000]
["ID0564",27500]
["USA",27500]
["Analyst",27500]
["USD",27500]
["02 | 25000 - 37500",27500]
[1,27500]
["All the 8 hours baby, all the 8!",27500]
[27500,27500]
["ID0565",140000]
["USA",140000]
["Controller",140000]
["USD",140000]
["11 | 137500 - 150000",140000]
[10,140000]
["2 to 3 hours per day",140000]
[140000,140000]
["ID0566",69871.969144538423]
["Netherlands",69871.969144538423]
["Analyst",69871.969144538423]
["EUR",69871.969144538423]
["05 | 62500 - 75000",69871.969144538423]
[6,69871.969144538423]
["All the 8 hours baby, all the 8!",69871.969144538423]
[69871.969144538423,69871.969144538423]
["ID0567",45000]
["USA",45000]
["Analyst",45000]
["USD",45000]
["03 | 37500 - 50000",45000]
[2,45000]
["4 to 6 hours a day",45000]
[45000,45000]
["ID0568",95000]
["Australia",95000]
["Analyst",95000]
["USD",95000]
["07 | 87500 - 100000",95000]
[11,95000]
["2 to 3 hours per day",95000]
[95000,95000]
["ID0569",158085.99674240855]
["Australia",158085.99674240855]
["Manager",158085.99674240855]
["AUD",158085.99674240855]
["12 | 150000 - 162500",158085.99674240855]
[20,158085.99674240855]
["4 to 6 hours a day",158085.99674240855]
[158085.99674240855,158085.99674240855]
["ID0570",63807.047488395103]
["New Zealand",63807.047488395103]
["Analyst",63807.047488395103]
["NZD",63807.047488395103]
["05 | 62500 - 75000",63807.047488395103]
[23,63807.047488395103]
["4 to 6 hours a day",63807.047488395103]
[63807.047488395103,63807.047488395103]
["ID0572",38000]
["USA",38000]
["Analyst",38000]
["USD",38000]
["03 | 37500 - 50000",38000]
[11,38000]
["All the 8 hours baby, all the 8!",38000]
[38000,38000]
["ID0573",90000]
["USA",90000]
["Manager",90000]
["USD",90000]
["07 | 87500 - 100000",90000]
[6,90000]
["4 to 6 hours a day",90000]
[90000,90000]
["ID0574",45393.934235537781]
["UK",45393.934235537781]
["Manager",45393.934235537781]
["GBP",45393.934235537781]
["03 | 37500 - 50000",45393.934235537781]
[27,45393.934235537781]
["4 to 6 hours a day",45393.934235537781]
[45393.934235537781,45393.934235537781]
["ID0575",33099.743713412965]
["UK",33099.743713412965]
["Analyst",33099.743713412965]
["GBP",33099.743713412965]
["02 | 25000 - 37500",33099.743713412965]
[10,33099.743713412965]
["All the 8 hours baby, all the 8!",33099.743713412965]
[33099.743713412965,33099.743713412965]
["ID0576",4285]
["India",4285]
["Analyst",4285]
["USD",4285]
["00 | 0 - 12500",4285]
[6,4285]
["All the 8 hours baby, all the 8!",4285]
[4285,4285]
["ID0577",6000]
["Guyana",6000]
["Manager",6000]
["USD",6000]
["00 | 0 - 12500",6000]
[20,6000]
["1 or 2 hours a day",6000]
[6000,6000]
["ID0578",22438.012440857987]
["Australia",22438.012440857987]
["Analyst",22438.012440857987]
["AUD",22438.012440857987]
["01 | 12500 - 25000",22438.012440857987]
[8,22438.012440857987]
["4 to 6 hours a day",22438.012440857987]
[22438.012440857987,22438.012440857987]
["ID0579",90000]
["USA",90000]
["Manager",90000]
["USD",90000]
["07 | 87500 - 100000",90000]
[15,90000]
["2 to 3 hours per day",90000]
[90000,90000]
["ID0580",150000]
["USA",150000]
["CXO or Top Mgmt.",150000]
["USD",150000]
["12 | 150000 - 162500",150000]
[22,150000]
["4 to 6 hours a day",150000]
[150000,150000]
["ID0581",132588.25533234264]
["Australia",132588.25533234264]
["Accountant",132588.25533234264]
["AUD",132588.25533234264]
["10 | 125000 - 137500",132588.25533234264]
[27,132588.25533234264]
["2 to 3 hours per day",132588.25533234264]
[132588.25533234264,132588.25533234264]
["ID0582",45000]
["USA",45000]
["Analyst",45000]
["USD",45000]
["03 | 37500 - 50000",45000]
[3,45000]
["4 to 6 hours a day",45000]
[45000,45000]
["ID0583",50000]
["USA",50000]
["Specialist",50000]
["USD",50000]
["04 | 50000 - 62500",50000]
[10,50000]
["2 to 3 hours per day",50000]
[50000,50000]
["ID0585",104030.78495306884]
["Australia",104030.78495306884]
["Manager",104030.78495306884]
["AUD",104030.78495306884]
["08 | 100000 - 112500",104030.78495306884]
[10,104030.78495306884]
["1 or 2 hours a day",104030.78495306884]
[104030.78495306884,104030.78495306884]
["ID0586",115000]
["USA",115000]
["Manager",115000]
["USD",115000]
["09 | 112500 - 125000",115000]
[15,115000]
["4 to 6 hours a day",115000]
[115000,115000]
["ID0587",70000]
["USA",70000]
["Analyst",70000]
["USD",70000]
["05 | 62500 - 75000",70000]
[3,70000]
["4 to 6 hours a day",70000]
[70000,70000]
["ID0588",108110.42357867939]
["Australia",108110.42357867939]
["Specialist",108110.42357867939]
["AUD",108110.42357867939]
["08 | 100000 - 112500",108110.42357867939]
[16,108110.42357867939]
["4 to 6 hours a day",108110.42357867939]
[108110.42357867939,108110.42357867939]
["ID0589",75000]
["USA",75000]
["Analyst",75000]
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["06 | 75000 - 87500",75000]
[25,75000]
["2 to 3 hours per day",75000]
[75000,75000]
["ID0590",40414]
["USA",40414]
["Analyst",40414]
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["03 | 37500 - 50000",40414]
[8,40414]
["4 to 6 hours a day",40414]
[40414,40414]
["ID0591",65000]
["USA",65000]
["Analyst",65000]
["USD",65000]
["05 | 62500 - 75000",65000]
[3,65000]
["4 to 6 hours a day",65000]
[65000,65000]
["ID0592",120000]
["USA",120000]
["Analyst",120000]
["USD",120000]
["09 | 112500 - 125000",120000]
[7,120000]
["All the 8 hours baby, all the 8!",120000]
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["ID0593",15092.18020692008]
["China",15092.18020692008]
["Accountant",15092.18020692008]
["CNY",15092.18020692008]
["01 | 12500 - 25000",15092.18020692008]
[10,15092.18020692008]
["4 to 6 hours a day",15092.18020692008]
[15092.18020692008,15092.18020692008]
["ID0594",36000]
["Russia",36000]
["Consultant",36000]
["USD",36000]
["02 | 25000 - 37500",36000]
[10,36000]
["All the 8 hours baby, all the 8!",36000]
[36000,36000]
["ID0595",63519.971949580387]
["Germany",63519.971949580387]
["Analyst",63519.971949580387]
["EUR",63519.971949580387]
["05 | 62500 - 75000",63519.971949580387]
[4,63519.971949580387]
["2 to 3 hours per day",63519.971949580387]
[63519.971949580387,63519.971949580387]
["ID0596",108000]
["USA",108000]
["Consultant",108000]
["USD",108000]
["08 | 100000 - 112500",108000]
[7,108000]
["2 to 3 hours per day",108000]
[108000,108000]
["ID0597",75000]
["USA",75000]
["Analyst",75000]
["USD",75000]
["06 | 75000 - 87500",75000]
[5,75000]
["4 to 6 hours a day",75000]
[75000,75000]
["ID0598",7123.1666749770275]
["India",7123.1666749770275]
["Manager",7123.1666749770275]
["INR",7123.1666749770275]
["00 | 0 - 12500",7123.1666749770275]
[3,7123.1666749770275]
["1 or 2 hours a day",7123.1666749770275]
[7123.1666749770275,7123.1666749770275]
["ID0599",50000]
["India",50000]
["Manager",50000]
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["04 | 50000 - 62500",50000]
[25,50000]
["1 or 2 hours a day",50000]
[50000,50000]
["ID0600",45000]
["USA",45000]
["Analyst",45000]
["USD",45000]
["03 | 37500 - 50000",45000]
[15,45000]
["4 to 6 hours a day",45000]
[45000,45000]
["ID0601",45000]
["USA",45000]
["Accountant",45000]
["USD",45000]
["03 | 37500 - 50000",45000]
[7,45000]
["4 to 6 hours a day",45000]
[45000,45000]
["ID0602",90000]
["USA",90000]
["Manager",90000]
["USD",90000]
["07 | 87500 - 100000",90000]
[20,90000]
["2 to 3 hours per day",90000]
[90000,90000]
["ID0603",4273.9000049862161]
["India",4273.9000049862161]
["Analyst",4273.9000049862161]
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["00 | 0 - 12500",4273.9000049862161]
[5,4273.9000049862161]
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["ID0604",50000]
["India",50000]
["Manager",50000]
["USD",50000]
["04 | 50000 - 62500",50000]
[10,50000]
["1 or 2 hours a day",50000]
[50000,50000]
["ID0605",65000]
["USA",65000]
["Analyst",65000]
["USD",65000]
["05 | 62500 - 75000",65000]
[17,65000]
["2 to 3 hours per day",65000]
[65000,65000]
["ID0606",70000]
["USA",70000]
["Analyst",70000]
["USD",70000]
["05 | 62500 - 75000",70000]
[18,70000]
["2 to 3 hours per day",70000]
[70000,70000]
["ID0608",160000]
["USA",160000]
["Analyst",160000]
["USD",160000]
["12 | 150000 - 162500",160000]
[5,160000]
["4 to 6 hours a day",160000]
[160000,160000]
["ID0609",101990.96564026357]
["Australia",101990.96564026357]
["Manager",101990.96564026357]
["AUD",101990.96564026357]
["08 | 100000 - 112500",101990.96564026357]
[20,101990.96564026357]
["2 to 3 hours per day",101990.96564026357]
[101990.96564026357,101990.96564026357]
["ID0611",6767.0083412281756]
["India",6767.0083412281756]
["Manager",6767.0083412281756]
["INR",6767.0083412281756]
["00 | 0 - 12500",6767.0083412281756]
[10,6767.0083412281756]
["4 to 6 hours a day",6767.0083412281756]
[6767.0083412281756,6767.0083412281756]
["ID0612",30000]
["USA",30000]
["Analyst",30000]
["USD",30000]
["02 | 25000 - 37500",30000]
[8,30000]
["2 to 3 hours per day",30000]
[30000,30000]
["ID0613",7479.3250087258784]
["India",7479.3250087258784]
["Analyst",7479.3250087258784]
["INR",7479.3250087258784]
["00 | 0 - 12500",7479.3250087258784]
[3,7479.3250087258784]
["4 to 6 hours a day",7479.3250087258784]
[7479.3250087258784,7479.3250087258784]
["ID0614",61000]
["USA",61000]
["Manager",61000]
["USD",61000]
["04 | 50000 - 62500",61000]
[5,61000]
["4 to 6 hours a day",61000]
[61000,61000]
["ID0615",13800]
["Sri Lanka",13800]
["Controller",13800]
["USD",13800]
["01 | 12500 - 25000",13800]
[20,13800]
["4 to 6 hours a day",13800]
[13800,13800]
["ID0616",15136.729184326183]
["India",15136.729184326183]
["Analyst",15136.729184326183]
["INR",15136.729184326183]
["01 | 12500 - 25000",15136.729184326183]
[6,15136.729184326183]
["4 to 6 hours a day",15136.729184326183]
[15136.729184326183,15136.729184326183]
["ID0617",32054.250037396621]
["India",32054.250037396621]
["Manager",32054.250037396621]
["INR",32054.250037396621]
["02 | 25000 - 37500",32054.250037396621]
[10,32054.250037396621]
["2 to 3 hours per day",32054.250037396621]
[32054.250037396621,32054.250037396621]
["ID0618",80000]
["USA",80000]
["Controller",80000]
["USD",80000]
["06 | 75000 - 87500",80000]
[15,80000]
["4 to 6 hours a day",80000]
[80000,80000]
["ID0619",21000]
["India",21000]
["Manager",21000]
["USD",21000]
["01 | 12500 - 25000",21000]
[23,21000]
["All the 8 hours baby, all the 8!",21000]
[21000,21000]
["ID0621",2849.2666699908109]
["India",2849.2666699908109]
["Reporting",2849.2666699908109]
["INR",2849.2666699908109]
["00 | 0 - 12500",2849.2666699908109]
[3,2849.2666699908109]
["All the 8 hours baby, all the 8!",2849.2666699908109]
[2849.2666699908109,2849.2666699908109]
["ID0622",8400]
["India",8400]
["Manager",8400]
["USD",8400]
["00 | 0 - 12500",8400]
[26,8400]
["All the 8 hours baby, all the 8!",8400]
[8400,8400]
["ID0623",86692.320794224041]
["Australia",86692.320794224041]
["Consultant",86692.320794224041]
["AUD",86692.320794224041]
["06 | 75000 - 87500",86692.320794224041]
[20,86692.320794224041]
["1 or 2 hours a day",86692.320794224041]
[86692.320794224041,86692.320794224041]
["ID0624",50000]
["USA",50000]
["Manager",50000]
["USD",50000]
["04 | 50000 - 62500",50000]
[20,50000]
["4 to 6 hours a day",50000]
[50000,50000]
["ID0625",4000]
["India",4000]
["Reporting",4000]
["USD",4000]
["00 | 0 - 12500",4000]
[6,4000]
["All the 8 hours baby, all the 8!",4000]
[4000,4000]
["ID0626",101990.96564026357]
["Australia",101990.96564026357]
["Analyst",101990.96564026357]
["AUD",101990.96564026357]
["08 | 100000 - 112500",101990.96564026357]
[1,101990.96564026357]
["All the 8 hours baby, all the 8!",101990.96564026357]
[101990.96564026357,101990.96564026357]
["ID0627",95000]
["USA",95000]
["Manager",95000]
["USD",95000]
["07 | 87500 - 100000",95000]
[10,95000]
["1 or 2 hours a day",95000]
[95000,95000]
["ID0628",10000]
["Indonesia",10000]
["Manager",10000]
["USD",10000]
["00 | 0 - 12500",10000]
[5,10000]
["2 to 3 hours per day",10000]
[10000,10000]
["ID0629",4200]
["India",4200]
["Reporting",4200]
["USD",4200]
["00 | 0 - 12500",4200]
[4,4200]
["All the 8 hours baby, all the 8!",4200]
[4200,4200]
["ID0630",12821.700014958649]
["India",12821.700014958649]
["Manager",12821.700014958649]
["INR",12821.700014958649]
["01 | 12500 - 25000",12821.700014958649]
[12,12821.700014958649]
["4 to 6 hours a day",12821.700014958649]
[12821.700014958649,12821.700014958649]
["ID0631",39000]
["USA",39000]
["Analyst",39000]
["USD",39000]
["03 | 37500 - 50000",39000]
[3,39000]
["All the 8 hours baby, all the 8!",39000]
[39000,39000]
["ID0632",60000]
["USA",60000]
["Analyst",60000]
["USD",60000]
["04 | 50000 - 62500",60000]
[12,60000]
["4 to 6 hours a day",60000]
[60000,60000]
["ID0633",173384.64158844808]
["Australia",173384.64158844808]
["Analyst",173384.64158844808]
["AUD",173384.64158844808]
["13 | 162500 - 175000",173384.64158844808]
[10,173384.64158844808]
["All the 8 hours baby, all the 8!",173384.64158844808]
[173384.64158844808,173384.64158844808]
["ID0634",125000]
["USA",125000]
["Analyst",125000]
["USD",125000]
["10 | 125000 - 137500",125000]
[20,125000]
["2 to 3 hours per day",125000]
[125000,125000]
["ID0635",79552.953199405587]
["Australia",79552.953199405587]
["Accountant",79552.953199405587]
["AUD",79552.953199405587]
["06 | 75000 - 87500",79552.953199405587]
[4,79552.953199405587]
["All the 8 hours baby, all the 8!",79552.953199405587]
[79552.953199405587,79552.953199405587]
["ID0636",3561.5833374885137]
["India",3561.5833374885137]
["Accountant",3561.5833374885137]
["INR",3561.5833374885137]
["00 | 0 - 12500",3561.5833374885137]
[3,3561.5833374885137]
["4 to 6 hours a day",3561.5833374885137]
[3561.5833374885137,3561.5833374885137]
["ID0637",80000]
["USA",80000]
["Manager",80000]
["USD",80000]
["06 | 75000 - 87500",80000]
[8,80000]
["4 to 6 hours a day",80000]
[80000,80000]
["ID0638",10684.750012465542]
["India",10684.750012465542]
["Analyst",10684.750012465542]
["INR",10684.750012465542]
["00 | 0 - 12500",10684.750012465542]
[3,10684.750012465542]
["2 to 3 hours per day",10684.750012465542]
[10684.750012465542,10684.750012465542]
["ID0639",5342.3750062327708]
["India",5342.3750062327708]
["Engineer",5342.3750062327708]
["INR",5342.3750062327708]
["00 | 0 - 12500",5342.3750062327708]
[2,5342.3750062327708]
["All the 8 hours baby, all the 8!",5342.3750062327708]
[5342.3750062327708,5342.3750062327708]
["ID0640",71231.666749770273]
["India",71231.666749770273]
["Manager",71231.666749770273]
["INR",71231.666749770273]
["05 | 62500 - 75000",71231.666749770273]
[1.5,71231.666749770273]
["4 to 6 hours a day",71231.666749770273]
[71231.666749770273,71231.666749770273]
["ID0641",80135.625093491559]
["India",80135.625093491559]
["CXO or Top Mgmt.",80135.625093491559]
["INR",80135.625093491559]
["06 | 75000 - 87500",80135.625093491559]
[6,80135.625093491559]
["1 or 2 hours a day",80135.625093491559]
[80135.625093491559,80135.625093491559]
["ID0642",54084.883766667976]
["Canada",54084.883766667976]
["Manager",54084.883766667976]
["CAD",54084.883766667976]
["04 | 50000 - 62500",54084.883766667976]
[5,54084.883766667976]
["4 to 6 hours a day",54084.883766667976]
[54084.883766667976,54084.883766667976]
["ID0643",53000]
["USA",53000]
["Analyst",53000]
["USD",53000]
["04 | 50000 - 62500",53000]
[30,53000]
["4 to 6 hours a day",53000]
[53000,53000]
["ID0644",5342.3750062327708]
["India",5342.3750062327708]
["Reporting",5342.3750062327708]
["INR",5342.3750062327708]
["00 | 0 - 12500",5342.3750062327708]
[1,5342.3750062327708]
["4 to 6 hours a day",5342.3750062327708]
[5342.3750062327708,5342.3750062327708]
["ID0645",7123.1666749770275]
["India",7123.1666749770275]
["Manager",7123.1666749770275]
["INR",7123.1666749770275]
["00 | 0 - 12500",7123.1666749770275]
[5,7123.1666749770275]
["1 or 2 hours a day",7123.1666749770275]
[7123.1666749770275,7123.1666749770275]
["ID0646",10684.750012465542]
["India",10684.750012465542]
["Manager",10684.750012465542]
["INR",10684.750012465542]
["00 | 0 - 12500",10684.750012465542]
[11,10684.750012465542]
["4 to 6 hours a day",10684.750012465542]
[10684.750012465542,10684.750012465542]
["ID0647",4000]
["India",4000]
["Reporting",4000]
["USD",4000]
["00 | 0 - 12500",4000]
[4,4000]
["All the 8 hours baby, all the 8!",4000]
[4000,4000]
["ID0648",8000]
["Thailand",8000]
["Manager",8000]
["USD",8000]
["00 | 0 - 12500",8000]
[1,8000]
["All the 8 hours baby, all the 8!",8000]
[8000,8000]
["ID0649",2671.1875031163854]
["India",2671.1875031163854]
["Manager",2671.1875031163854]
["INR",2671.1875031163854]
["00 | 0 - 12500",2671.1875031163854]
[5,2671.1875031163854]
["2 to 3 hours per day",2671.1875031163854]
[2671.1875031163854,2671.1875031163854]
["ID0650",14246.333349954055]
["India",14246.333349954055]
["Engineer",14246.333349954055]
["INR",14246.333349954055]
["01 | 12500 - 25000",14246.333349954055]
[3,14246.333349954055]
["2 to 3 hours per day",14246.333349954055]
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["ID0651",8547.8000099724322]
["India",8547.8000099724322]
["Reporting",8547.8000099724322]
["INR",8547.8000099724322]
["00 | 0 - 12500",8547.8000099724322]
[3,8547.8000099724322]
["1 or 2 hours a day",8547.8000099724322]
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["ID0652",7693.0200089751897]
["India",7693.0200089751897]
["Manager",7693.0200089751897]
["INR",7693.0200089751897]
["00 | 0 - 12500",7693.0200089751897]
[5,7693.0200089751897]
["2 to 3 hours per day",7693.0200089751897]
[7693.0200089751897,7693.0200089751897]
["ID0653",4000]
["India",4000]
["Manager",4000]
["USD",4000]
["00 | 0 - 12500",4000]
[8,4000]
["All the 8 hours baby, all the 8!",4000]
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["ID0654",5400]
["India",5400]
["Manager",5400]
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["00 | 0 - 12500",5400]
[3,5400]
["All the 8 hours baby, all the 8!",5400]
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["ID0655",186983.12521814698]
["India",186983.12521814698]
["Manager",186983.12521814698]
["INR",186983.12521814698]
["14 | 175000 - 187500",186983.12521814698]
[10,186983.12521814698]
["2 to 3 hours per day",186983.12521814698]
[186983.12521814698,186983.12521814698]
["ID0657",21500]
["India",21500]
["Analyst",21500]
["USD",21500]
["01 | 12500 - 25000",21500]
[9,21500]
["4 to 6 hours a day",21500]
[21500,21500]
["ID0658",15000]
["India",15000]
["Reporting",15000]
["USD",15000]
["01 | 12500 - 25000",15000]
[2,15000]
["All the 8 hours baby, all the 8!",15000]
[15000,15000]
["ID0659",2122.8177433598262]
["Pakistan",2122.8177433598262]
["Accountant",2122.8177433598262]
["PKR",2122.8177433598262]
["00 | 0 - 12500",2122.8177433598262]
[2,2122.8177433598262]
["2 to 3 hours per day",2122.8177433598262]
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["ID0660",16917.52085307044]
["India",16917.52085307044]
["Manager",16917.52085307044]
["INR",16917.52085307044]
["01 | 12500 - 25000",16917.52085307044]
[3,16917.52085307044]
["4 to 6 hours a day",16917.52085307044]
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["ID0661",2938.3062534280239]
["India",2938.3062534280239]
["Manager",2938.3062534280239]
["INR",2938.3062534280239]
["00 | 0 - 12500",2938.3062534280239]
[11,2938.3062534280239]
["All the 8 hours baby, all the 8!",2938.3062534280239]
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["ID0662",16800]
["Pakistan",16800]
["Analyst",16800]
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["01 | 12500 - 25000",16800]
[12,16800]
["4 to 6 hours a day",16800]
[16800,16800]
["ID0663",37000]
["India",37000]
["Engineer",37000]
["USD",37000]
["02 | 25000 - 37500",37000]
[10,37000]
["4 to 6 hours a day",37000]
[37000,37000]
["ID0664",5342.3750062327708]
["India",5342.3750062327708]
["Analyst",5342.3750062327708]
["INR",5342.3750062327708]
["00 | 0 - 12500",5342.3750062327708]
[4.5,5342.3750062327708]
["4 to 6 hours a day",5342.3750062327708]
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["ID0665",3561.5833374885137]
["India",3561.5833374885137]
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["INR",3561.5833374885137]
["00 | 0 - 12500",3561.5833374885137]
[3,3561.5833374885137]
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["ID0666",8547.8000099724322]
["India",8547.8000099724322]
["Manager",8547.8000099724322]
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["00 | 0 - 12500",8547.8000099724322]
[8,8547.8000099724322]
["2 to 3 hours per day",8547.8000099724322]
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["ID0667",5800]
["India",5800]
["Manager",5800]
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["00 | 0 - 12500",5800]
[8,5800]
["All the 8 hours baby, all the 8!",5800]
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["ID0668",4095.8208381117906]
["India",4095.8208381117906]
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["00 | 0 - 12500",4095.8208381117906]
[3,4095.8208381117906]
["All the 8 hours baby, all the 8!",4095.8208381117906]
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["ID0669",4914.9850057341491]
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["Manager",4914.9850057341491]
["INR",4914.9850057341491]
["00 | 0 - 12500",4914.9850057341491]
[3,4914.9850057341491]
["1 or 2 hours a day",4914.9850057341491]
[4914.9850057341491,4914.9850057341491]
["ID0670",24000]
["Saudi Arabia",24000]
["Manager",24000]
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["01 | 12500 - 25000",24000]
[12,24000]
["4 to 6 hours a day",24000]
[24000,24000]
["ID0671",24000]
["UAE",24000]
["Accountant",24000]
["USD",24000]
["01 | 12500 - 25000",24000]
[15,24000]
["2 to 3 hours per day",24000]
[24000,24000]
["ID0672",8738]
["India",8738]
["Manager",8738]
["USD",8738]
["00 | 0 - 12500",8738]
[7.3,8738]
["All the 8 hours baby, all the 8!",8738]
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["ID0673",15000]
["Indonesia",15000]
["Analyst",15000]
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["01 | 12500 - 25000",15000]
[1,15000]
["4 to 6 hours a day",15000]
[15000,15000]
["ID0674",56400]
["UAE",56400]
["Manager",56400]
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["04 | 50000 - 62500",56400]
[6,56400]
["2 to 3 hours per day",56400]
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["ID0675",10200]
["India",10200]
["Analyst",10200]
["USD",10200]
["00 | 0 - 12500",10200]
[4.5,10200]
["4 to 6 hours a day",10200]
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["India",5787.5729234188348]
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["00 | 0 - 12500",5787.5729234188348]
[4.5,5787.5729234188348]
["All the 8 hours baby, all the 8!",5787.5729234188348]
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["ID0677",105000]
["USA",105000]
["Consultant",105000]
["USD",105000]
["08 | 100000 - 112500",105000]
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["2 to 3 hours per day",105000]
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["India",4451.9791718606421]
["Manager",4451.9791718606421]
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["00 | 0 - 12500",4451.9791718606421]
[5,4451.9791718606421]
["2 to 3 hours per day",4451.9791718606421]
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["India",8369.7208430980063]
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["00 | 0 - 12500",8369.7208430980063]
[4,8369.7208430980063]
["All the 8 hours baby, all the 8!",8369.7208430980063]
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["ID0680",17067.637625607145]
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["PHP",17067.637625607145]
["01 | 12500 - 25000",17067.637625607145]
[9,17067.637625607145]
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["ID0681",101990.96564026357]
["Australia",101990.96564026357]
["Manager",101990.96564026357]
["AUD",101990.96564026357]
["08 | 100000 - 112500",101990.96564026357]
[20,101990.96564026357]
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["India",3917.7416712373652]
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["00 | 0 - 12500",3917.7416712373652]
[3,3917.7416712373652]
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["ID0683",52000]
["USA",52000]
["Specialist",52000]
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["04 | 50000 - 62500",52000]
[18,52000]
["4 to 6 hours a day",52000]
[52000,52000]
["ID0684",4630.058338735068]
["India",4630.058338735068]
["Analyst",4630.058338735068]
["INR",4630.058338735068]
["00 | 0 - 12500",4630.058338735068]
[2,4630.058338735068]
["4 to 6 hours a day",4630.058338735068]
[4630.058338735068,4630.058338735068]
["ID0685",2136.9500024931081]
["India",2136.9500024931081]
["Analyst",2136.9500024931081]
["INR",2136.9500024931081]
["00 | 0 - 12500",2136.9500024931081]
[3,2136.9500024931081]
["2 to 3 hours per day",2136.9500024931081]
[2136.9500024931081,2136.9500024931081]
["ID0686",13000]
["India",13000]
["Analyst",13000]
["USD",13000]
["01 | 12500 - 25000",13000]
[4,13000]
["1 or 2 hours a day",13000]
[13000,13000]
["ID0687",2564.3400029917298]
["India",2564.3400029917298]
["Manager",2564.3400029917298]
["INR",2564.3400029917298]
["00 | 0 - 12500",2564.3400029917298]
[7,2564.3400029917298]
["2 to 3 hours per day",2564.3400029917298]
[2564.3400029917298,2564.3400029917298]
["ID0688",20479.104190558952]
["India",20479.104190558952]
["Manager",20479.104190558952]
["INR",20479.104190558952]
["01 | 12500 - 25000",20479.104190558952]
[7,20479.104190558952]
["2 to 3 hours per day",20479.104190558952]
[20479.104190558952,20479.104190558952]
["ID0689",33500]
["Dubai",33500]
["Accountant",33500]
["USD",33500]
["02 | 25000 - 37500",33500]
[10,33500]
["1 or 2 hours a day",33500]
[33500,33500]
["ID0690",50000]
["India",50000]
["Manager",50000]
["USD",50000]
["04 | 50000 - 62500",50000]
[20,50000]
["2 to 3 hours per day",50000]
[50000,50000]
["ID0691",5342.3750062327708]
["India",5342.3750062327708]
["Manager",5342.3750062327708]
["INR",5342.3750062327708]
["00 | 0 - 12500",5342.3750062327708]
[3,5342.3750062327708]
["2 to 3 hours per day",5342.3750062327708]
[5342.3750062327708,5342.3750062327708]
["ID0692",11539.530013462785]
["India",11539.530013462785]
["Analyst",11539.530013462785]
["INR",11539.530013462785]
["00 | 0 - 12500",11539.530013462785]
[2,11539.530013462785]
["All the 8 hours baby, all the 8!",11539.530013462785]
[11539.530013462785,11539.530013462785]
["ID0693",7000]
["India",7000]
["Manager",7000]
["USD",7000]
["00 | 0 - 12500",7000]
[23,7000]
["4 to 6 hours a day",7000]
[7000,7000]
["ID0694",6767.0083412281756]
["India",6767.0083412281756]
["Reporting",6767.0083412281756]
["INR",6767.0083412281756]
["00 | 0 - 12500",6767.0083412281756]
[6,6767.0083412281756]
["2 to 3 hours per day",6767.0083412281756]
[6767.0083412281756,6767.0083412281756]
["ID0695",3000]
["Cambodia",3000]
["Consultant",3000]
["USD",3000]
["00 | 0 - 12500",3000]
[2,3000]
["2 to 3 hours per day",3000]
[3000,3000]
["ID0696",4451.9791718606421]
["India",4451.9791718606421]
["Reporting",4451.9791718606421]
["INR",4451.9791718606421]
["00 | 0 - 12500",4451.9791718606421]
[4,4451.9791718606421]
["All the 8 hours baby, all the 8!",4451.9791718606421]
[4451.9791718606421,4451.9791718606421]
["ID0697",2671.1875031163854]
["India",2671.1875031163854]
["CXO or Top Mgmt.",2671.1875031163854]
["INR",2671.1875031163854]
["00 | 0 - 12500",2671.1875031163854]
[4.5,2671.1875031163854]
["4 to 6 hours a day",2671.1875031163854]
[2671.1875031163854,2671.1875031163854]
["ID0698",4957.7240057840108]
["India",4957.7240057840108]
["Manager",4957.7240057840108]
["INR",4957.7240057840108]
["00 | 0 - 12500",4957.7240057840108]
[5,4957.7240057840108]
["4 to 6 hours a day",4957.7240057840108]
[4957.7240057840108,4957.7240057840108]
["ID0699",3205.4250037396623]
["India",3205.4250037396623]
["Accountant",3205.4250037396623]
["INR",3205.4250037396623]
["00 | 0 - 12500",3205.4250037396623]
[14,3205.4250037396623]
["2 to 3 hours per day",3205.4250037396623]
[3205.4250037396623,3205.4250037396623]
["ID0700",14246.333349954055]
["India",14246.333349954055]
["Manager",14246.333349954055]
["INR",14246.333349954055]
["01 | 12500 - 25000",14246.333349954055]
[7,14246.333349954055]
["4 to 6 hours a day",14246.333349954055]
[14246.333349954055,14246.333349954055]
["ID0701",5342.3750062327708]
["India",5342.3750062327708]
["Analyst",5342.3750062327708]
["INR",5342.3750062327708]
["00 | 0 - 12500",5342.3750062327708]
[7,5342.3750062327708]
["All the 8 hours baby, all the 8!",5342.3750062327708]
[5342.3750062327708,5342.3750062327708]
["ID0702",6588.9291743537506]
["India",6588.9291743537506]
["Analyst",6588.9291743537506]
["INR",6588.9291743537506]
["00 | 0 - 12500",6588.9291743537506]
[2,6588.9291743537506]
["All the 8 hours baby, all the 8!",6588.9291743537506]
[6588.9291743537506,6588.9291743537506]
["ID0703",6588.9291743537506]
["India",6588.9291743537506]
["Analyst",6588.9291743537506]
["INR",6588.9291743537506]
["00 | 0 - 12500",6588.9291743537506]
[2,6588.9291743537506]
["All the 8 hours baby, all the 8!",6588.9291743537506]
[6588.9291743537506,6588.9291743537506]
["ID0704",35000]
["USA",35000]
["Specialist",35000]
["USD",35000]
["02 | 25000 - 37500",35000]
[10,35000]
["4 to 6 hours a day",35000]
[35000,35000]
["ID0705",12821.700014958649]
["India",12821.700014958649]
["Accountant",12821.700014958649]
["INR",12821.700014958649]
["01 | 12500 - 25000",12821.700014958649]
[4,12821.700014958649]
["4 to 6 hours a day",12821.700014958649]
[12821.700014958649,12821.700014958649]
["ID0706",10684.750012465542]
["India",10684.750012465542]
["Manager",10684.750012465542]
["INR",10684.750012465542]
["00 | 0 - 12500",10684.750012465542]
[2,10684.750012465542]
["1 or 2 hours a day",10684.750012465542]
[10684.750012465542,10684.750012465542]
["ID0707",10000]
["India",10000]
["Manager",10000]
["USD",10000]
["00 | 0 - 12500",10000]
[2,10000]
["4 to 6 hours a day",10000]
[10000,10000]
["ID0708",2136.9500024931081]
["India",2136.9500024931081]
["Analyst",2136.9500024931081]
["INR",2136.9500024931081]
["00 | 0 - 12500",2136.9500024931081]
[0,2136.9500024931081]
["1 or 2 hours a day",2136.9500024931081]
[2136.9500024931081,2136.9500024931081]
["ID0709",8547.8000099724322]
["India",8547.8000099724322]
["Analyst",8547.8000099724322]
["INR",8547.8000099724322]
["00 | 0 - 12500",8547.8000099724322]
[4,8547.8000099724322]
["4 to 6 hours a day",8547.8000099724322]
[8547.8000099724322,8547.8000099724322]
["ID0710",8013.5625093491553]
["India",8013.5625093491553]
["Analyst",8013.5625093491553]
["INR",8013.5625093491553]
["00 | 0 - 12500",8013.5625093491553]
[8,8013.5625093491553]
["All the 8 hours baby, all the 8!",8013.5625093491553]
[8013.5625093491553,8013.5625093491553]
["ID0711",7123.1666749770275]
["India",7123.1666749770275]
["Consultant",7123.1666749770275]
["INR",7123.1666749770275]
["00 | 0 - 12500",7123.1666749770275]
[0,7123.1666749770275]
["4 to 6 hours a day",7123.1666749770275]
[7123.1666749770275,7123.1666749770275]
["ID0712",40958.208381117904]
["India",40958.208381117904]
["Analyst",40958.208381117904]
["INR",40958.208381117904]
["03 | 37500 - 50000",40958.208381117904]
[5,40958.208381117904]
["All the 8 hours baby, all the 8!",40958.208381117904]
[40958.208381117904,40958.208381117904]
["ID0713",11325.835013213473]
["India",11325.835013213473]
["Manager",11325.835013213473]
["INR",11325.835013213473]
["00 | 0 - 12500",11325.835013213473]
[2,11325.835013213473]
["4 to 6 hours a day",11325.835013213473]
[11325.835013213473,11325.835013213473]
["ID0714",15000]
["Lithuania",15000]
["Accountant",15000]
["USD",15000]
["01 | 12500 - 25000",15000]
[2,15000]
["4 to 6 hours a day",15000]
[15000,15000]
["ID0715",12000]
["UAE",12000]
["Analyst",12000]
["USD",12000]
["00 | 0 - 12500",12000]
[12,12000]
["4 to 6 hours a day",12000]
[12000,12000]
["ID0716",8903.9583437212841]
["India",8903.9583437212841]
["Reporting",8903.9583437212841]
["INR",8903.9583437212841]
["00 | 0 - 12500",8903.9583437212841]
[1,8903.9583437212841]
["2 to 3 hours per day",8903.9583437212841]
[8903.9583437212841,8903.9583437212841]
["ID0717",8903.9583437212841]
["India",8903.9583437212841]
["Engineer",8903.9583437212841]
["INR",8903.9583437212841]
["00 | 0 - 12500",8903.9583437212841]
[2,8903.9583437212841]
["All the 8 hours baby, all the 8!",8903.9583437212841]
[8903.9583437212841,8903.9583437212841]
["ID0718",12821.700014958649]
["India",12821.700014958649]
["Manager",12821.700014958649]
["INR",12821.700014958649]
["01 | 12500 - 25000",12821.700014958649]
[10,12821.700014958649]
["All the 8 hours baby, all the 8!",12821.700014958649]
[12821.700014958649,12821.700014958649]
["ID0719",3205.4250037396623]
["India",3205.4250037396623]
["Manager",3205.4250037396623]
["INR",3205.4250037396623]
["00 | 0 - 12500",3205.4250037396623]
[7,3205.4250037396623]
["All the 8 hours baby, all the 8!",3205.4250037396623]
[3205.4250037396623,3205.4250037396623]
["ID0720",6677.9687577909626]
["India",6677.9687577909626]
["Manager",6677.9687577909626]
["INR",6677.9687577909626]
["00 | 0 - 12500",6677.9687577909626]
[6,6677.9687577909626]
["2 to 3 hours per day",6677.9687577909626]
[6677.9687577909626,6677.9687577909626]
["ID0721",67794.987956419791]
["New Zealand",67794.987956419791]
["Manager",67794.987956419791]
["NZD",67794.987956419791]
["05 | 62500 - 75000",67794.987956419791]
[15,67794.987956419791]
["4 to 6 hours a day",67794.987956419791]
[67794.987956419791,67794.987956419791]
["ID0722",31250]
["India",31250]
["Manager",31250]
["USD",31250]
["02 | 25000 - 37500",31250]
[6,31250]
["2 to 3 hours per day",31250]
[31250,31250]
["ID0723",2165.2740982270229]
["Pakistan",2165.2740982270229]
["Manager",2165.2740982270229]
["PKR",2165.2740982270229]
["00 | 0 - 12500",2165.2740982270229]
[2,2165.2740982270229]
["All the 8 hours baby, all the 8!",2165.2740982270229]
[2165.2740982270229,2165.2740982270229]
["ID0724",7123.1666749770275]
["India",7123.1666749770275]
["Reporting",7123.1666749770275]
["INR",7123.1666749770275]
["00 | 0 - 12500",7123.1666749770275]
[4,7123.1666749770275]
["All the 8 hours baby, all the 8!",7123.1666749770275]
[7123.1666749770275,7123.1666749770275]
["ID0725",130000]
["Australia",130000]
["Manager",130000]
["USD",130000]
["10 | 125000 - 137500",130000]
[3,130000]
["4 to 6 hours a day",130000]
[130000,130000]
["ID0726",4451.9791718606421]
["India",4451.9791718606421]
["Manager",4451.9791718606421]
["INR",4451.9791718606421]
["00 | 0 - 12500",4451.9791718606421]
[6,4451.9791718606421]
["4 to 6 hours a day",4451.9791718606421]
[4451.9791718606421,4451.9791718606421]
["ID0727",9600]
["South Africa",9600]
["Analyst",9600]
["USD",9600]
["00 | 0 - 12500",9600]
[2,9600]
["4 to 6 hours a day",9600]
[9600,9600]
["ID0728",6945.0875081026015]
["India",6945.0875081026015]
["Analyst",6945.0875081026015]
["INR",6945.0875081026015]
["00 | 0 - 12500",6945.0875081026015]
[1,6945.0875081026015]
["4 to 6 hours a day",6945.0875081026015]
[6945.0875081026015,6945.0875081026015]
["ID0729",10684.750012465542]
["India",10684.750012465542]
["Accountant",10684.750012465542]
["INR",10684.750012465542]
["00 | 0 - 12500",10684.750012465542]
[7,10684.750012465542]
["All the 8 hours baby, all the 8!",10684.750012465542]
[10684.750012465542,10684.750012465542]
["ID0730",8547.8000099724322]
["India",8547.8000099724322]
["Analyst",8547.8000099724322]
["INR",8547.8000099724322]
["00 | 0 - 12500",8547.8000099724322]
[3.5,8547.8000099724322]
["2 to 3 hours per day",8547.8000099724322]
[8547.8000099724322,8547.8000099724322]
["ID0731",35000]
["India",35000]
["Analyst",35000]
["USD",35000]
["02 | 25000 - 37500",35000]
[10,35000]
["4 to 6 hours a day",35000]
[35000,35000]
["ID0732",17807.916687442568]
["India",17807.916687442568]
["Analyst",17807.916687442568]
["INR",17807.916687442568]
["01 | 12500 - 25000",17807.916687442568]
[12,17807.916687442568]
["2 to 3 hours per day",17807.916687442568]
[17807.916687442568,17807.916687442568]
["ID0733",3205.4250037396623]
["India",3205.4250037396623]
["Accountant",3205.4250037396623]
["INR",3205.4250037396623]
["00 | 0 - 12500",3205.4250037396623]
[4,3205.4250037396623]
["All the 8 hours baby, all the 8!",3205.4250037396623]
[3205.4250037396623,3205.4250037396623]
["ID0734",60000]
["Russia",60000]
["Manager",60000]
["USD",60000]
["04 | 50000 - 62500",60000]
[10,60000]
["4 to 6 hours a day",60000]
[60000,60000]
["ID0735",14246.333349954055]
["India",14246.333349954055]
["Manager",14246.333349954055]
["INR",14246.333349954055]
["01 | 12500 - 25000",14246.333349954055]
[13,14246.333349954055]
["2 to 3 hours per day",14246.333349954055]
[14246.333349954055,14246.333349954055]
["ID0736",10684.750012465542]
["India",10684.750012465542]
["Manager",10684.750012465542]
["INR",10684.750012465542]
["00 | 0 - 12500",10684.750012465542]
[8,10684.750012465542]
["2 to 3 hours per day",10684.750012465542]
[10684.750012465542,10684.750012465542]
["ID0737",40000]
["India",40000]
["Manager",40000]
["USD",40000]
["03 | 37500 - 50000",40000]
[15,40000]
["All the 8 hours baby, all the 8!",40000]
[40000,40000]
["ID0738",5022]
["Pakistan",5022]
["Analyst",5022]
["USD",5022]
["00 | 0 - 12500",5022]
[15,5022]
["4 to 6 hours a day",5022]
[5022,5022]
["ID0739",7301.2458418514525]
["India",7301.2458418514525]
["Analyst",7301.2458418514525]
["INR",7301.2458418514525]
["00 | 0 - 12500",7301.2458418514525]
[5,7301.2458418514525]
["All the 8 hours baby, all the 8!",7301.2458418514525]
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["ID0740",19831.432821021317]
["Egypt",19831.432821021317]
["Analyst",19831.432821021317]
["EGYPT",19831.432821021317]
["01 | 12500 - 25000",19831.432821021317]
[5,19831.432821021317]
["All the 8 hours baby, all the 8!",19831.432821021317]
[19831.432821021317,19831.432821021317]
["ID0741",10684.750012465542]
["India",10684.750012465542]
["Manager",10684.750012465542]
["INR",10684.750012465542]
["00 | 0 - 12500",10684.750012465542]
[5,10684.750012465542]
["4 to 6 hours a day",10684.750012465542]
[10684.750012465542,10684.750012465542]
["ID0742",4800]
["Bhutan",4800]
["Analyst",4800]
["USD",4800]
["00 | 0 - 12500",4800]
[2,4800]
["4 to 6 hours a day",4800]
[4800,4800]
["ID0743",83846.362973446114]
["Germany",83846.362973446114]
["Analyst",83846.362973446114]
["EUR",83846.362973446114]
["06 | 75000 - 87500",83846.362973446114]
[7,83846.362973446114]
["4 to 6 hours a day",83846.362973446114]
[83846.362973446114,83846.362973446114]
["ID0744",15000]
["India",15000]
["Controller",15000]
["USD",15000]
["01 | 12500 - 25000",15000]
[2,15000]
["2 to 3 hours per day",15000]
[15000,15000]
["ID0745",10000]
["India",10000]
["Analyst",10000]
["USD",10000]
["00 | 0 - 12500",10000]
[12,10000]
["4 to 6 hours a day",10000]
[10000,10000]
["ID0746",116637.19213297902]
["UK",116637.19213297902]
["Manager",116637.19213297902]
["GBP",116637.19213297902]
["09 | 112500 - 125000",116637.19213297902]
[5,116637.19213297902]
["4 to 6 hours a day",116637.19213297902]
[116637.19213297902,116637.19213297902]
["ID0747",34357.533974522659]
["UK",34357.533974522659]
["Analyst",34357.533974522659]
["GBP",34357.533974522659]
["02 | 25000 - 37500",34357.533974522659]
[1.5,34357.533974522659]
["All the 8 hours baby, all the 8!",34357.533974522659]
[34357.533974522659,34357.533974522659]
["ID0748",102451.58768437347]
["UK",102451.58768437347]
["Manager",102451.58768437347]
["GBP",102451.58768437347]
["08 | 100000 - 112500",102451.58768437347]
[15,102451.58768437347]
["4 to 6 hours a day",102451.58768437347]
[102451.58768437347,102451.58768437347]
["ID0749",16000]
["India",16000]
["Engineer",16000]
["USD",16000]
["01 | 12500 - 25000",16000]
[5,16000]
["2 to 3 hours per day",16000]
[16000,16000]
["ID0750",6000]
["India",6000]
["Manager",6000]
["USD",6000]
["00 | 0 - 12500",6000]
[6,6000]
["2 to 3 hours per day",6000]
[6000,6000]
["ID0751",6410.8500074793246]
["India",6410.8500074793246]
["Manager",6410.8500074793246]
["INR",6410.8500074793246]
["00 | 0 - 12500",6410.8500074793246]
[6,6410.8500074793246]
["All the 8 hours baby, all the 8!",6410.8500074793246]
[6410.8500074793246,6410.8500074793246]
["ID0752",36000]
["UAE",36000]
["Engineer",36000]
["USD",36000]
["02 | 25000 - 37500",36000]
[7,36000]
["1 or 2 hours a day",36000]
[36000,36000]
["ID0753",20000]
["India",20000]
["Engineer",20000]
["USD",20000]
["01 | 12500 - 25000",20000]
[7,20000]
["1 or 2 hours a day",20000]
[20000,20000]
["ID0754",4273.9000049862161]
["India",4273.9000049862161]
["Accountant",4273.9000049862161]
["INR",4273.9000049862161]
["00 | 0 - 12500",4273.9000049862161]
[8,4273.9000049862161]
["4 to 6 hours a day",4273.9000049862161]
[4273.9000049862161,4273.9000049862161]
["ID0755",37828.278529614821]
["UK",37828.278529614821]
["Specialist",37828.278529614821]
["GBP",37828.278529614821]
["03 | 37500 - 50000",37828.278529614821]
[8,37828.278529614821]
["All the 8 hours baby, all the 8!",37828.278529614821]
[37828.278529614821,37828.278529614821]
["ID0756",11000]
["Sri Lanka",11000]
["Manager",11000]
["USD",11000]
["00 | 0 - 12500",11000]
[4.5,11000]
["All the 8 hours baby, all the 8!",11000]
[11000,11000]
["ID0757",8000]
["India",8000]
["Analyst",8000]
["USD",8000]
["00 | 0 - 12500",8000]
[6,8000]
["2 to 3 hours per day",8000]
[8000,8000]
["ID0758",4006.7812546745777]
["India",4006.7812546745777]
["Reporting",4006.7812546745777]
["INR",4006.7812546745777]
["00 | 0 - 12500",4006.7812546745777]
[5.5,4006.7812546745777]
["All the 8 hours baby, all the 8!",4006.7812546745777]
[4006.7812546745777,4006.7812546745777]
["ID0759",9171.0323574730355]
["Nigeria",9171.0323574730355]
["Manager",9171.0323574730355]
["NAIRA",9171.0323574730355]
["00 | 0 - 12500",9171.0323574730355]
[5,9171.0323574730355]
["2 to 3 hours per day",9171.0323574730355]
[9171.0323574730355,9171.0323574730355]
["ID0760",4273.9000049862161]
["India",4273.9000049862161]
["Analyst",4273.9000049862161]
["INR",4273.9000049862161]
["00 | 0 - 12500",4273.9000049862161]
[20,4273.9000049862161]
["2 to 3 hours per day",4273.9000049862161]
[4273.9000049862161,4273.9000049862161]
["ID0761",12465.541681209797]
["India",12465.541681209797]
["Analyst",12465.541681209797]
["INR",12465.541681209797]
["00 | 0 - 12500",12465.541681209797]
[5,12465.541681209797]
["All the 8 hours baby, all the 8!",12465.541681209797]
[12465.541681209797,12465.541681209797]
["ID0762",24000]
["India",24000]
["Analyst",24000]
["USD",24000]
["01 | 12500 - 25000",24000]
[1,24000]
["2 to 3 hours per day",24000]
[24000,24000]
["ID0763",20000]
["Denmark",20000]
["Consultant",20000]
["USD",20000]
["01 | 12500 - 25000",20000]
[15,20000]
["2 to 3 hours per day",20000]
[20000,20000]
["ID0764",62000]
["USA",62000]
["Analyst",62000]
["USD",62000]
["04 | 50000 - 62500",62000]
[20,62000]
["2 to 3 hours per day",62000]
[62000,62000]
["ID0765",14960]
["Saudi Arabia",14960]
["Controller",14960]
["USD",14960]
["01 | 12500 - 25000",14960]
[2,14960]
["All the 8 hours baby, all the 8!",14960]
[14960,14960]
["ID0766",2136.9500024931081]
["India",2136.9500024931081]
["Accountant",2136.9500024931081]
["INR",2136.9500024931081]
["00 | 0 - 12500",2136.9500024931081]
[2,2136.9500024931081]
["2 to 3 hours per day",2136.9500024931081]
[2136.9500024931081,2136.9500024931081]
["ID0767",30232]
["USA",30232]
["Accountant",30232]
["USD",30232]
["02 | 25000 - 37500",30232]
[5,30232]
["2 to 3 hours per day",30232]
[30232,30232]
["ID0768",41000]
["USA",41000]
["Analyst",41000]
["USD",41000]
["03 | 37500 - 50000",41000]
[4,41000]
["All the 8 hours baby, all the 8!",41000]
[41000,41000]
["ID0769",96891.417358250401]
["Australia",96891.417358250401]
["Analyst",96891.417358250401]
["AUD",96891.417358250401]
["07 | 87500 - 100000",96891.417358250401]
[11,96891.417358250401]
["2 to 3 hours per day",96891.417358250401]
[96891.417358250401,96891.417358250401]
["ID0770",21369.500024931083]
["India",21369.500024931083]
["Manager",21369.500024931083]
["INR",21369.500024931083]
["01 | 12500 - 25000",21369.500024931083]
[14,21369.500024931083]
["All the 8 hours baby, all the 8!",21369.500024931083]
[21369.500024931083,21369.500024931083]
["ID0771",3650.6229209257262]
["India",3650.6229209257262]
["Accountant",3650.6229209257262]
["INR",3650.6229209257262]
["00 | 0 - 12500",3650.6229209257262]
[10,3650.6229209257262]
["All the 8 hours baby, all the 8!",3650.6229209257262]
[3650.6229209257262,3650.6229209257262]
["ID0772",19068]
["Philippines",19068]
["Accountant",19068]
["USD",19068]
["01 | 12500 - 25000",19068]
[20,19068]
["All the 8 hours baby, all the 8!",19068]
[19068,19068]
["ID0773",5342.3750062327708]
["India",5342.3750062327708]
["Controller",5342.3750062327708]
["INR",5342.3750062327708]
["00 | 0 - 12500",5342.3750062327708]
[4,5342.3750062327708]
["All the 8 hours baby, all the 8!",5342.3750062327708]
[5342.3750062327708,5342.3750062327708]
["ID0774",48000]
["Singapore",48000]
["Consultant",48000]
["USD",48000]
["03 | 37500 - 50000",48000]
[3,48000]
["All the 8 hours baby, all the 8!",48000]
[48000,48000]
["ID0775",3917.7416712373652]
["India",3917.7416712373652]
["Engineer",3917.7416712373652]
["INR",3917.7416712373652]
["00 | 0 - 12500",3917.7416712373652]
[2,3917.7416712373652]
["4 to 6 hours a day",3917.7416712373652]
[3917.7416712373652,3917.7416712373652]
["ID0776",13500]
["India",13500]
["Reporting",13500]
["USD",13500]
["01 | 12500 - 25000",13500]
[2.5,13500]
["All the 8 hours baby, all the 8!",13500]
[13500,13500]
["ID0777",45000]
["India",45000]
["Manager",45000]
["USD",45000]
["03 | 37500 - 50000",45000]
[15,45000]
["1 or 2 hours a day",45000]
[45000,45000]
["ID0778",69871.969144538423]
["italy",69871.969144538423]
["CXO or Top Mgmt.",69871.969144538423]
["EUR",69871.969144538423]
["05 | 62500 - 75000",69871.969144538423]
[18,69871.969144538423]
["2 to 3 hours per day",69871.969144538423]
[69871.969144538423,69871.969144538423]
["ID0779",8547.8000099724322]
["India",8547.8000099724322]
["Manager",8547.8000099724322]
["INR",8547.8000099724322]
["00 | 0 - 12500",8547.8000099724322]
[11,8547.8000099724322]
["4 to 6 hours a day",8547.8000099724322]
[8547.8000099724322,8547.8000099724322]
["ID0780",9146.5655463031271]
["Dubai",9146.5655463031271]
["Accountant",9146.5655463031271]
["AED",9146.5655463031271]
["00 | 0 - 12500",9146.5655463031271]
[7,9146.5655463031271]
["1 or 2 hours a day",9146.5655463031271]
[9146.5655463031271,9146.5655463031271]
["ID0781",10150.512511842264]
["India",10150.512511842264]
["Analyst",10150.512511842264]
["INR",10150.512511842264]
["00 | 0 - 12500",10150.512511842264]
[2.4,10150.512511842264]
["All the 8 hours baby, all the 8!",10150.512511842264]
[10150.512511842264,10150.512511842264]
["ID0782",11325.835013213473]
["India",11325.835013213473]
["Manager",11325.835013213473]
["INR",11325.835013213473]
["00 | 0 - 12500",11325.835013213473]
[7,11325.835013213473]
["4 to 6 hours a day",11325.835013213473]
[11325.835013213473,11325.835013213473]
["ID0783",1910.5359690238436]
["Pakistan",1910.5359690238436]
["Reporting",1910.5359690238436]
["PKR",1910.5359690238436]
["00 | 0 - 12500",1910.5359690238436]
[7,1910.5359690238436]
["All the 8 hours baby, all the 8!",1910.5359690238436]
[1910.5359690238436,1910.5359690238436]
["ID0784",36000]
["Australia",36000]
["Manager",36000]
["USD",36000]
["02 | 25000 - 37500",36000]
[12,36000]
["2 to 3 hours per day",36000]
[36000,36000]
["ID0785",40067.812546745779]
["India",40067.812546745779]
["Accountant",40067.812546745779]
["INR",40067.812546745779]
["03 | 37500 - 50000",40067.812546745779]
[5,40067.812546745779]
["1 or 2 hours a day",40067.812546745779]
[40067.812546745779,40067.812546745779]
["ID0786",16000]
["India",16000]
["Reporting",16000]
["USD",16000]
["01 | 12500 - 25000",16000]
[1,16000]
["All the 8 hours baby, all the 8!",16000]
[16000,16000]
["ID0787",4273.9000049862161]
["India",4273.9000049862161]
["Analyst",4273.9000049862161]
["INR",4273.9000049862161]
["00 | 0 - 12500",4273.9000049862161]
[4,4273.9000049862161]
["All the 8 hours baby, all the 8!",4273.9000049862161]
[4273.9000049862161,4273.9000049862161]
["ID0788",7123.1666749770275]
["India",7123.1666749770275]
["Manager",7123.1666749770275]
["INR",7123.1666749770275]
["00 | 0 - 12500",7123.1666749770275]
[7,7123.1666749770275]
["4 to 6 hours a day",7123.1666749770275]
[7123.1666749770275,7123.1666749770275]
["ID0789",10000]
["India",10000]
["Manager",10000]
["USD",10000]
["00 | 0 - 12500",10000]
[12,10000]
["1 or 2 hours a day",10000]
[10000,10000]
["ID0790",64901.860520001574]
["Canada",64901.860520001574]
["Analyst",64901.860520001574]
["CAD",64901.860520001574]
["05 | 62500 - 75000",64901.860520001574]
[20,64901.860520001574]
["2 to 3 hours per day",64901.860520001574]
[64901.860520001574,64901.860520001574]
["ID0791",65000]
["USA",65000]
["Analyst",65000]
["USD",65000]
["05 | 62500 - 75000",65000]
[10,65000]
["2 to 3 hours per day",65000]
[65000,65000]
["ID0792",8013.5625093491553]
["India",8013.5625093491553]
["Manager",8013.5625093491553]
["INR",8013.5625093491553]
["00 | 0 - 12500",8013.5625093491553]
[1.5,8013.5625093491553]
["All the 8 hours baby, all the 8!",8013.5625093491553]
[8013.5625093491553,8013.5625093491553]
["ID0793",98336.152303032693]
["Canada",98336.152303032693]
["CXO or Top Mgmt.",98336.152303032693]
["CAD",98336.152303032693]
["07 | 87500 - 100000",98336.152303032693]
[5,98336.152303032693]
["4 to 6 hours a day",98336.152303032693]
[98336.152303032693,98336.152303032693]
["ID0794",2671.1875031163854]
["India",2671.1875031163854]
["Analyst",2671.1875031163854]
["INR",2671.1875031163854]
["00 | 0 - 12500",2671.1875031163854]
[2,2671.1875031163854]
["4 to 6 hours a day",2671.1875031163854]
[2671.1875031163854,2671.1875031163854]
["ID0795",96000]
["India",96000]
["Reporting",96000]
["USD",96000]
["07 | 87500 - 100000",96000]
[8,96000]
["All the 8 hours baby, all the 8!",96000]
[96000,96000]
["ID0796",20514.720023933838]
["India",20514.720023933838]
["Accountant",20514.720023933838]
["INR",20514.720023933838]
["01 | 12500 - 25000",20514.720023933838]
[6,20514.720023933838]
["4 to 6 hours a day",20514.720023933838]
[20514.720023933838,20514.720023933838]
["ID0797",19055.991584874118]
["Spain",19055.991584874118]
["Analyst",19055.991584874118]
["EUR",19055.991584874118]
["01 | 12500 - 25000",19055.991584874118]
[10,19055.991584874118]
["2 to 3 hours per day",19055.991584874118]
[19055.991584874118,19055.991584874118]
["ID0798",66294.12766617132]
["Australia",66294.12766617132]
["Analyst",66294.12766617132]
["AUD",66294.12766617132]
["05 | 62500 - 75000",66294.12766617132]
[10,66294.12766617132]
["All the 8 hours baby, all the 8!",66294.12766617132]
[66294.12766617132,66294.12766617132]
["ID0799",6713.584591165848]
["India",6713.584591165848]
["Analyst",6713.584591165848]
["INR",6713.584591165848]
["00 | 0 - 12500",6713.584591165848]
[7,6713.584591165848]
["1 or 2 hours a day",6713.584591165848]
[6713.584591165848,6713.584591165848]
["ID0800",45709.169889951241]
["UK",45709.169889951241]
["Reporting",45709.169889951241]
["GBP",45709.169889951241]
["03 | 37500 - 50000",45709.169889951241]
[15,45709.169889951241]
["2 to 3 hours per day",45709.169889951241]
[45709.169889951241,45709.169889951241]
["ID0801",48500]
["USA",48500]
["Manager",48500]
["USD",48500]
["03 | 37500 - 50000",48500]
[10,48500]
["2 to 3 hours per day",48500]
[48500,48500]
["ID0802",10684.750012465542]
["India",10684.750012465542]
["Analyst",10684.750012465542]
["INR",10684.750012465542]
["00 | 0 - 12500",10684.750012465542]
[4,10684.750012465542]
["All the 8 hours baby, all the 8!",10684.750012465542]
[10684.750012465542,10684.750012465542]
["ID0803",33900]
["USA",33900]
["Analyst",33900]
["USD",33900]
["02 | 25000 - 37500",33900]
[10,33900]
["2 to 3 hours per day",33900]
[33900,33900]
["ID0804",109729.60187662003]
["South Africa",109729.60187662003]
["Analyst",109729.60187662003]
["ZAR",109729.60187662003]
["08 | 100000 - 112500",109729.60187662003]
[40,109729.60187662003]
["All the 8 hours baby, all the 8!",109729.60187662003]
[109729.60187662003,109729.60187662003]
["ID0805",15136.729184326183]
["India",15136.729184326183]
["Analyst",15136.729184326183]
["INR",15136.729184326183]
["01 | 12500 - 25000",15136.729184326183]
[2,15136.729184326183]
["4 to 6 hours a day",15136.729184326183]
[15136.729184326183,15136.729184326183]
["ID0806",85000]
["USA",85000]
["CXO or Top Mgmt.",85000]
["USD",85000]
["06 | 75000 - 87500",85000]
[15,85000]
["4 to 6 hours a day",85000]
[85000,85000]
["ID0807",8013.5625093491553]
["India",8013.5625093491553]
["Manager",8013.5625093491553]
["INR",8013.5625093491553]
["00 | 0 - 12500",8013.5625093491553]
[6,8013.5625093491553]
["4 to 6 hours a day",8013.5625093491553]
[8013.5625093491553,8013.5625093491553]
["ID0808",48000]
["USA",48000]
["Manager",48000]
["USD",48000]
["03 | 37500 - 50000",48000]
[16,48000]
["2 to 3 hours per day",48000]
[48000,48000]
["ID0809",3027.3458368652364]
["India",3027.3458368652364]
["Reporting",3027.3458368652364]
["INR",3027.3458368652364]
["00 | 0 - 12500",3027.3458368652364]
[2,3027.3458368652364]
["4 to 6 hours a day",3027.3458368652364]
[3027.3458368652364,3027.3458368652364]
["ID0810",13100]
["India",13100]
["Accountant",13100]
["USD",13100]
["01 | 12500 - 25000",13100]
[5,13100]
["2 to 3 hours per day",13100]
[13100,13100]
["ID0811",60000]
["UAE",60000]
["Manager",60000]
["USD",60000]
["04 | 50000 - 62500",60000]
[15,60000]
["2 to 3 hours per day",60000]
[60000,60000]
["ID0812",24000]
["Croatia",24000]
["Manager",24000]
["USD",24000]
["01 | 12500 - 25000",24000]
[5,24000]
["2 to 3 hours per day",24000]
[24000,24000]
["ID0813",4273.9000049862161]
["India",4273.9000049862161]
["Manager",4273.9000049862161]
["INR",4273.9000049862161]
["00 | 0 - 12500",4273.9000049862161]
[3,4273.9000049862161]
["2 to 3 hours per day",4273.9000049862161]
[4273.9000049862161,4273.9000049862161]
["ID0814",11575.14584683767]
["India",11575.14584683767]
["Manager",11575.14584683767]
["INR",11575.14584683767]
["00 | 0 - 12500",11575.14584683767]
[5,11575.14584683767]
["2 to 3 hours per day",11575.14584683767]
[11575.14584683767,11575.14584683767]
["ID0815",95000]
["USA",95000]
["Analyst",95000]
["USD",95000]
["07 | 87500 - 100000",95000]
[13,95000]
["2 to 3 hours per day",95000]
[95000,95000]
["ID0816",9188.8850107203652]
["India",9188.8850107203652]
["Manager",9188.8850107203652]
["INR",9188.8850107203652]
["00 | 0 - 12500",9188.8850107203652]
[0,9188.8850107203652]
["4 to 6 hours a day",9188.8850107203652]
[9188.8850107203652,9188.8850107203652]
["ID0817",8975.1900104710548]
["India",8975.1900104710548]
["Manager",8975.1900104710548]
["INR",8975.1900104710548]
["00 | 0 - 12500",8975.1900104710548]
[3,8975.1900104710548]
["All the 8 hours baby, all the 8!",8975.1900104710548]
[8975.1900104710548,8975.1900104710548]
["ID0818",2564.3400029917298]
["India",2564.3400029917298]
["Analyst",2564.3400029917298]
["INR",2564.3400029917298]
["00 | 0 - 12500",2564.3400029917298]
[1,2564.3400029917298]
["All the 8 hours baby, all the 8!",2564.3400029917298]
[2564.3400029917298,2564.3400029917298]
["ID0820",86689.804963700633]
["UK",86689.804963700633]
["Controller",86689.804963700633]
["GBP",86689.804963700633]
["06 | 75000 - 87500",86689.804963700633]
[12,86689.804963700633]
["4 to 6 hours a day",86689.804963700633]
[86689.804963700633,86689.804963700633]
["ID0821",15500]
["India",15500]
["Engineer",15500]
["USD",15500]
["01 | 12500 - 25000",15500]
[3,15500]
["1 or 2 hours a day",15500]
[15500,15500]
["ID0822",148284.35006969364]
["Brazil",148284.35006969364]
["Analyst",148284.35006969364]
["BRL",148284.35006969364]
["11 | 137500 - 150000",148284.35006969364]
[3,148284.35006969364]
["All the 8 hours baby, all the 8!",148284.35006969364]
[148284.35006969364,148284.35006969364]
["ID0823",10684.750012465542]
["India",10684.750012465542]
["Analyst",10684.750012465542]
["INR",10684.750012465542]
["00 | 0 - 12500",10684.750012465542]
[5,10684.750012465542]
["All the 8 hours baby, all the 8!",10684.750012465542]
[10684.750012465542,10684.750012465542]
["ID0824",75000]
["USA",75000]
["Analyst",75000]
["USD",75000]
["06 | 75000 - 87500",75000]
[27,75000]
["2 to 3 hours per day",75000]
[75000,75000]
["ID0825",12000]
["Ukraine",12000]
["Manager",12000]
["USD",12000]
["00 | 0 - 12500",12000]
[5,12000]
["4 to 6 hours a day",12000]
[12000,12000]
["ID0826",30273.458368652366]
["India",30273.458368652366]
["Manager",30273.458368652366]
["INR",30273.458368652366]
["02 | 25000 - 37500",30273.458368652366]
[1.1000000000000001,30273.458368652366]
["All the 8 hours baby, all the 8!",30273.458368652366]
[30273.458368652366,30273.458368652366]
["ID0827",30000]
["Indonesia",30000]
["Controller",30000]
["USD",30000]
["02 | 25000 - 37500",30000]
[7,30000]
["4 to 6 hours a day",30000]
[30000,30000]
["ID0828",6410.8500074793246]
["India",6410.8500074793246]
["Analyst",6410.8500074793246]
["INR",6410.8500074793246]
["00 | 0 - 12500",6410.8500074793246]
[4,6410.8500074793246]
["All the 8 hours baby, all the 8!",6410.8500074793246]
[6410.8500074793246,6410.8500074793246]
["ID0829",100000]
["USA",100000]
["CXO or Top Mgmt.",100000]
["USD",100000]
["08 | 100000 - 112500",100000]
[10,100000]
["4 to 6 hours a day",100000]
[100000,100000]
["ID0830",53356.776437647524]
["Netherlands",53356.776437647524]
["Engineer",53356.776437647524]
["EUR",53356.776437647524]
["04 | 50000 - 62500",53356.776437647524]
[2,53356.776437647524]
["4 to 6 hours a day",53356.776437647524]
[53356.776437647524,53356.776437647524]
["ID0831",40000]
["USA",40000]
["Manager",40000]
["USD",40000]
["03 | 37500 - 50000",40000]
[20,40000]
["2 to 3 hours per day",40000]
[40000,40000]
["ID0832",9794.354178093412]
["India",9794.354178093412]
["Analyst",9794.354178093412]
["INR",9794.354178093412]
["00 | 0 - 12500",9794.354178093412]
[1,9794.354178093412]
["4 to 6 hours a day",9794.354178093412]
[9794.354178093412,9794.354178093412]
["ID0833",18499.860539512854]
["Romania",18499.860539512854]
["Specialist",18499.860539512854]
["RON",18499.860539512854]
["01 | 12500 - 25000",18499.860539512854]
[6,18499.860539512854]
["4 to 6 hours a day",18499.860539512854]
[18499.860539512854,18499.860539512854]
["ID0834",19818.231248269083]
["Portugal",19818.231248269083]
["Controller",19818.231248269083]
["EUR",19818.231248269083]
["01 | 12500 - 25000",19818.231248269083]
[5,19818.231248269083]
["4 to 6 hours a day",19818.231248269083]
[19818.231248269083,19818.231248269083]
["ID0835",10684.750012465542]
["India",10684.750012465542]
["Manager",10684.750012465542]
["INR",10684.750012465542]
["00 | 0 - 12500",10684.750012465542]
[20,10684.750012465542]
["All the 8 hours baby, all the 8!",10684.750012465542]
[10684.750012465542,10684.750012465542]
["ID0836",10684.750012465542]
["India",10684.750012465542]
["Manager",10684.750012465542]
["INR",10684.750012465542]
["00 | 0 - 12500",10684.750012465542]
[18,10684.750012465542]
["2 to 3 hours per day",10684.750012465542]
[10684.750012465542,10684.750012465542]
["ID0837",17807.916687442568]
["India",17807.916687442568]
["Analyst",17807.916687442568]
["INR",17807.916687442568]
["01 | 12500 - 25000",17807.916687442568]
[10,17807.916687442568]
["4 to 6 hours a day",17807.916687442568]
[17807.916687442568,17807.916687442568]
["ID0838",13000]
["India",13000]
["Analyst",13000]
["USD",13000]
["01 | 12500 - 25000",13000]
[6,13000]
["All the 8 hours baby, all the 8!",13000]
[13000,13000]
["ID0839",16027.125018698311]
["India",16027.125018698311]
["Manager",16027.125018698311]
["INR",16027.125018698311]
["01 | 12500 - 25000",16027.125018698311]
[9,16027.125018698311]
["1 or 2 hours a day",16027.125018698311]
[16027.125018698311,16027.125018698311]
["ID0840",85000]
["USA",85000]
["Accountant",85000]
["USD",85000]
["06 | 75000 - 87500",85000]
[1,85000]
["All the 8 hours baby, all the 8!",85000]
[85000,85000]
["ID0841",6000]
["Colombia",6000]
["Analyst",6000]
["USD",6000]
["00 | 0 - 12500",6000]
[10,6000]
["1 or 2 hours a day",6000]
[6000,6000]
["ID0842",30000]
["India",30000]
["Reporting",30000]
["USD",30000]
["02 | 25000 - 37500",30000]
[2,30000]
["4 to 6 hours a day",30000]
[30000,30000]
["ID0844",157617.8272067284]
["UK",157617.8272067284]
["Controller",157617.8272067284]
["GBP",157617.8272067284]
["12 | 150000 - 162500",157617.8272067284]
[20,157617.8272067284]
["2 to 3 hours per day",157617.8272067284]
[157617.8272067284,157617.8272067284]
["ID0845",21369.500024931083]
["India",21369.500024931083]
["Manager",21369.500024931083]
["INR",21369.500024931083]
["01 | 12500 - 25000",21369.500024931083]
[18,21369.500024931083]
["1 or 2 hours a day",21369.500024931083]
[21369.500024931083,21369.500024931083]
["ID0846",3561.5833374885137]
["India",3561.5833374885137]
["Reporting",3561.5833374885137]
["INR",3561.5833374885137]
["00 | 0 - 12500",3561.5833374885137]
[1,3561.5833374885137]
["4 to 6 hours a day",3561.5833374885137]
[3561.5833374885137,3561.5833374885137]
["ID0847",5000]
["India",5000]
["Manager",5000]
["USD",5000]
["00 | 0 - 12500",5000]
[1,5000]
["4 to 6 hours a day",5000]
[5000,5000]
["ID0848",3561.5833374885137]
["India",3561.5833374885137]
["Analyst",3561.5833374885137]
["INR",3561.5833374885137]
["00 | 0 - 12500",3561.5833374885137]
[2,3561.5833374885137]
["4 to 6 hours a day",3561.5833374885137]
[3561.5833374885137,3561.5833374885137]
["ID0849",38111.983169748237]
["Portugal",38111.983169748237]
["Accountant",38111.983169748237]
["EUR",38111.983169748237]
["03 | 37500 - 50000",38111.983169748237]
[8,38111.983169748237]
["All the 8 hours baby, all the 8!",38111.983169748237]
[38111.983169748237,38111.983169748237]
["ID0850",17807.916687442568]
["India",17807.916687442568]
["Analyst",17807.916687442568]
["INR",17807.916687442568]
["01 | 12500 - 25000",17807.916687442568]
[6.5,17807.916687442568]
["4 to 6 hours a day",17807.916687442568]
[17807.916687442568,17807.916687442568]
["ID0851",11575.14584683767]
["India",11575.14584683767]
["Analyst",11575.14584683767]
["INR",11575.14584683767]
["00 | 0 - 12500",11575.14584683767]
[3.5,11575.14584683767]
["All the 8 hours baby, all the 8!",11575.14584683767]
[11575.14584683767,11575.14584683767]
["ID0852",98336.152303032693]
["Canada",98336.152303032693]
["Manager",98336.152303032693]
["CAD",98336.152303032693]
["07 | 87500 - 100000",98336.152303032693]
[10,98336.152303032693]
["2 to 3 hours per day",98336.152303032693]
[98336.152303032693,98336.152303032693]
["ID0854",92500]
["USA",92500]
["Analyst",92500]
["USD",92500]
["07 | 87500 - 100000",92500]
[15,92500]
["2 to 3 hours per day",92500]
[92500,92500]
["ID0855",9794.354178093412]
["India",9794.354178093412]
["Analyst",9794.354178093412]
["INR",9794.354178093412]
["00 | 0 - 12500",9794.354178093412]
[1,9794.354178093412]
["4 to 6 hours a day",9794.354178093412]
[9794.354178093412,9794.354178093412]
["ID0856",32000]
["USA",32000]
["Manager",32000]
["USD",32000]
["02 | 25000 - 37500",32000]
[1,32000]
["4 to 6 hours a day",32000]
[32000,32000]
["ID0857",55000]
["USA",55000]
["Analyst",55000]
["USD",55000]
["04 | 50000 - 62500",55000]
[10,55000]
["4 to 6 hours a day",55000]
[55000,55000]
["ID0858",40000]
["USA",40000]
["Analyst",40000]
["USD",40000]
["03 | 37500 - 50000",40000]
[4,40000]
["All the 8 hours baby, all the 8!",40000]
[40000,40000]
["ID0859",3000]
["Pakistan",3000]
["Analyst",3000]
["USD",3000]
["00 | 0 - 12500",3000]
[2,3000]
["2 to 3 hours per day",3000]
[3000,3000]
["ID0860",43600]
["USA",43600]
["Analyst",43600]
["USD",43600]
["03 | 37500 - 50000",43600]
[5,43600]
["4 to 6 hours a day",43600]
[43600,43600]
["ID0861",9616.275011218986]
["India",9616.275011218986]
["Analyst",9616.275011218986]
["INR",9616.275011218986]
["00 | 0 - 12500",9616.275011218986]
[8,9616.275011218986]
["All the 8 hours baby, all the 8!",9616.275011218986]
[9616.275011218986,9616.275011218986]
["ID0862",35000]
["Uruguay",35000]
["Manager",35000]
["USD",35000]
["02 | 25000 - 37500",35000]
[10,35000]
["All the 8 hours baby, all the 8!",35000]
[35000,35000]
["ID0863",12000]
["Spain",12000]
["Consultant",12000]
["USD",12000]
["00 | 0 - 12500",12000]
[15,12000]
["2 to 3 hours per day",12000]
[12000,12000]
["ID0864",5000]
["Aruba",5000]
["Consultant",5000]
["USD",5000]
["00 | 0 - 12500",5000]
[13,5000]
["1 or 2 hours a day",5000]
[5000,5000]
["ID0865",16337.518501630093]
["South Africa",16337.518501630093]
["Analyst",16337.518501630093]
["ZAR",16337.518501630093]
["01 | 12500 - 25000",16337.518501630093]
[2,16337.518501630093]
["4 to 6 hours a day",16337.518501630093]
[16337.518501630093,16337.518501630093]
["ID0866",65000]
["USA",65000]
["Analyst",65000]
["USD",65000]
["05 | 62500 - 75000",65000]
[8,65000]
["1 or 2 hours a day",65000]
[65000,65000]
["ID0867",40000]
["USA",40000]
["Analyst",40000]
["USD",40000]
["03 | 37500 - 50000",40000]
[2,40000]
["All the 8 hours baby, all the 8!",40000]
[40000,40000]
["ID0868",98000]
["Indonesia",98000]
["Manager",98000]
["USD",98000]
["07 | 87500 - 100000",98000]
[14,98000]
["2 to 3 hours per day",98000]
[98000,98000]
["ID0869",50000]
["USA",50000]
["CXO or Top Mgmt.",50000]
["USD",50000]
["04 | 50000 - 62500",50000]
[15,50000]
["All the 8 hours baby, all the 8!",50000]
[50000,50000]
["ID0870",135000]
["USA",135000]
["CXO or Top Mgmt.",135000]
["USD",135000]
["10 | 125000 - 137500",135000]
[25,135000]
["4 to 6 hours a day",135000]
[135000,135000]
["ID0871",125000]
["Norway",125000]
["Manager",125000]
["USD",125000]
["10 | 125000 - 137500",125000]
[6,125000]
["4 to 6 hours a day",125000]
[125000,125000]
["ID0872",4500]
["Indonesia",4500]
["Analyst",4500]
["USD",4500]
["00 | 0 - 12500",4500]
[4,4500]
["2 to 3 hours per day",4500]
[4500,4500]
["ID0873",115000]
["USA",115000]
["Analyst",115000]
["USD",115000]
["09 | 112500 - 125000",115000]
[10,115000]
["4 to 6 hours a day",115000]
[115000,115000]
["ID0874",70000]
["USA",70000]
["Analyst",70000]
["USD",70000]
["05 | 62500 - 75000",70000]
[15,70000]
["All the 8 hours baby, all the 8!",70000]
[70000,70000]
["ID0875",60000]
["USA",60000]
["Analyst",60000]
["USD",60000]
["04 | 50000 - 62500",60000]
[8,60000]
["2 to 3 hours per day",60000]
[60000,60000]
["ID0876",87456]
["USA",87456]
["Manager",87456]
["USD",87456]
["06 | 75000 - 87500",87456]
[12,87456]
["2 to 3 hours per day",87456]
[87456,87456]
["ID0877",26400]
["UAE",26400]
["Analyst",26400]
["USD",26400]
["02 | 25000 - 37500",26400]
[6,26400]
["All the 8 hours baby, all the 8!",26400]
[26400,26400]
["ID0878",12000]
["UAE",12000]
["Manager",12000]
["USD",12000]
["00 | 0 - 12500",12000]
[18,12000]
["All the 8 hours baby, all the 8!",12000]
[12000,12000]
["ID0879",2564.3400029917298]
["India",2564.3400029917298]
["Analyst",2564.3400029917298]
["INR",2564.3400029917298]
["00 | 0 - 12500",2564.3400029917298]
[1,2564.3400029917298]
["4 to 6 hours a day",2564.3400029917298]
[2564.3400029917298,2564.3400029917298]
["ID0880",62000]
["Qatar",62000]
["Manager",62000]
["USD",62000]
["04 | 50000 - 62500",62000]
[11,62000]
["All the 8 hours baby, all the 8!",62000]
[62000,62000]
["ID0881",5342.3750062327708]
["India",5342.3750062327708]
["Analyst",5342.3750062327708]
["INR",5342.3750062327708]
["00 | 0 - 12500",5342.3750062327708]
[10,5342.3750062327708]
["1 or 2 hours a day",5342.3750062327708]
[5342.3750062327708,5342.3750062327708]
["ID0882",50815.977559664309]
["Netherlands",50815.977559664309]
["Analyst",50815.977559664309]
["EUR",50815.977559664309]
["04 | 50000 - 62500",50815.977559664309]
[4,50815.977559664309]
["4 to 6 hours a day",50815.977559664309]
[50815.977559664309,50815.977559664309]
["ID0883",25560]
["Saudi Arabia",25560]
["Manager",25560]
["USD",25560]
["02 | 25000 - 37500",25560]
[3,25560]
["4 to 6 hours a day",25560]
[25560,25560]
["ID0884",12821.700014958649]
["India",12821.700014958649]
["Accountant",12821.700014958649]
["INR",12821.700014958649]
["01 | 12500 - 25000",12821.700014958649]
[3,12821.700014958649]
["4 to 6 hours a day",12821.700014958649]
[12821.700014958649,12821.700014958649]
["ID0885",10684.750012465542]
["India",10684.750012465542]
["Manager",10684.750012465542]
["INR",10684.750012465542]
["00 | 0 - 12500",10684.750012465542]
[5,10684.750012465542]
["All the 8 hours baby, all the 8!",10684.750012465542]
[10684.750012465542,10684.750012465542]
["ID0886",4457.9172610556352]
["Pakistan",4457.9172610556352]
["Manager",4457.9172610556352]
["PKR",4457.9172610556352]
["00 | 0 - 12500",4457.9172610556352]
[4,4457.9172610556352]
["All the 8 hours baby, all the 8!",4457.9172610556352]
[4457.9172610556352,4457.9172610556352]
["ID0887",125000]
["South Africa",125000]
["CXO or Top Mgmt.",125000]
["USD",125000]
["10 | 125000 - 137500",125000]
[20,125000]
["4 to 6 hours a day",125000]
[125000,125000]
["ID0888",43000]
["USA",43000]
["Analyst",43000]
["USD",43000]
["03 | 37500 - 50000",43000]
[1,43000]
["4 to 6 hours a day",43000]
[43000,43000]
["ID0889",7123.1666749770275]
["India",7123.1666749770275]
["Engineer",7123.1666749770275]
["INR",7123.1666749770275]
["00 | 0 - 12500",7123.1666749770275]
[6,7123.1666749770275]
["2 to 3 hours per day",7123.1666749770275]
[7123.1666749770275,7123.1666749770275]
["ID0890",10000]
["Vietnam",10000]
["Accountant",10000]
["USD",10000]
["00 | 0 - 12500",10000]
[4,10000]
["4 to 6 hours a day",10000]
[10000,10000]
["ID0891",8903.9583437212841]
["India",8903.9583437212841]
["Manager",8903.9583437212841]
["INR",8903.9583437212841]
["00 | 0 - 12500",8903.9583437212841]
[5,8903.9583437212841]
["1 or 2 hours a day",8903.9583437212841]
[8903.9583437212841,8903.9583437212841]
["ID0892",36500]
["Saudi Arabia",36500]
["Accountant",36500]
["USD",36500]
["02 | 25000 - 37500",36500]
[15,36500]
["4 to 6 hours a day",36500]
[36500,36500]
["ID0893",100000]
["Mexico",100000]
["CXO or Top Mgmt.",100000]
["USD",100000]
["08 | 100000 - 112500",100000]
[10,100000]
["All the 8 hours baby, all the 8!",100000]
[100000,100000]
["ID0894",7123.1666749770275]
["India",7123.1666749770275]
["Accountant",7123.1666749770275]
["INR",7123.1666749770275]
["00 | 0 - 12500",7123.1666749770275]
[8,7123.1666749770275]
["2 to 3 hours per day",7123.1666749770275]
[7123.1666749770275,7123.1666749770275]
["ID0895",40958.208381117904]
["India",40958.208381117904]
["Manager",40958.208381117904]
["INR",40958.208381117904]
["03 | 37500 - 50000",40958.208381117904]
[8,40958.208381117904]
["2 to 3 hours per day",40958.208381117904]
[40958.208381117904,40958.208381117904]
["ID0896",21369.500024931083]
["India",21369.500024931083]
["CXO or Top Mgmt.",21369.500024931083]
["INR",21369.500024931083]
["01 | 12500 - 25000",21369.500024931083]
[17,21369.500024931083]
["4 to 6 hours a day",21369.500024931083]
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["ID0897",2136.9500024931081]
["India",2136.9500024931081]
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["00 | 0 - 12500",2136.9500024931081]
[5,2136.9500024931081]
["4 to 6 hours a day",2136.9500024931081]
[2136.9500024931081,2136.9500024931081]
["ID0898",8903.9583437212841]
["India",8903.9583437212841]
["Engineer",8903.9583437212841]
["INR",8903.9583437212841]
["00 | 0 - 12500",8903.9583437212841]
[3,8903.9583437212841]
["2 to 3 hours per day",8903.9583437212841]
[8903.9583437212841,8903.9583437212841]
["ID0899",17807.916687442568]
["India",17807.916687442568]
["Manager",17807.916687442568]
["INR",17807.916687442568]
["01 | 12500 - 25000",17807.916687442568]
[5,17807.916687442568]
["4 to 6 hours a day",17807.916687442568]
[17807.916687442568,17807.916687442568]
["ID0900",15136.729184326183]
["India",15136.729184326183]
["Manager",15136.729184326183]
["INR",15136.729184326183]
["01 | 12500 - 25000",15136.729184326183]
[3,15136.729184326183]
["2 to 3 hours per day",15136.729184326183]
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["ID0901",3982.448779308334]
["Philippines",3982.448779308334]
["Analyst",3982.448779308334]
["PHP",3982.448779308334]
["00 | 0 - 12500",3982.448779308334]
[10,3982.448779308334]
["4 to 6 hours a day",3982.448779308334]
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["ID0903",15600]
["Kuwait ",15600]
["Controller",15600]
["USD",15600]
["01 | 12500 - 25000",15600]
[13,15600]
["4 to 6 hours a day",15600]
[15600,15600]
["ID0904",3205.4250037396623]
["India",3205.4250037396623]
["Analyst",3205.4250037396623]
["INR",3205.4250037396623]
["00 | 0 - 12500",3205.4250037396623]
[3.5,3205.4250037396623]
["2 to 3 hours per day",3205.4250037396623]
[3205.4250037396623,3205.4250037396623]
["ID0905",10000]
["India",10000]
["Manager",10000]
["USD",10000]
["00 | 0 - 12500",10000]
[6,10000]
["4 to 6 hours a day",10000]
[10000,10000]
["ID0906",75010]
["USA",75010]
["Analyst",75010]
["USD",75010]
["06 | 75000 - 87500",75010]
[6,75010]
["2 to 3 hours per day",75010]
[75010,75010]
["ID0907",10684.750012465542]
["India",10684.750012465542]
["Manager",10684.750012465542]
["INR",10684.750012465542]
["00 | 0 - 12500",10684.750012465542]
[9,10684.750012465542]
["All the 8 hours baby, all the 8!",10684.750012465542]
[10684.750012465542,10684.750012465542]
["ID0908",16350]
["India",16350]
["Manager",16350]
["USD",16350]
["01 | 12500 - 25000",16350]
[5,16350]
["4 to 6 hours a day",16350]
[16350,16350]
["ID0909",126094.26176538273]
["UK",126094.26176538273]
["Accountant",126094.26176538273]
["GBP",126094.26176538273]
["10 | 125000 - 137500",126094.26176538273]
[10,126094.26176538273]
["4 to 6 hours a day",126094.26176538273]
[126094.26176538273,126094.26176538273]
["ID0910",60000]
["Singapore",60000]
["Accountant",60000]
["USD",60000]
["04 | 50000 - 62500",60000]
[10,60000]
["All the 8 hours baby, all the 8!",60000]
[60000,60000]
["ID0911",23150.291693675339]
["India",23150.291693675339]
["Manager",23150.291693675339]
["INR",23150.291693675339]
["01 | 12500 - 25000",23150.291693675339]
[3,23150.291693675339]
["1 or 2 hours a day",23150.291693675339]
[23150.291693675339,23150.291693675339]
["ID0912",13801.135432767991]
["India",13801.135432767991]
["Analyst",13801.135432767991]
["INR",13801.135432767991]
["01 | 12500 - 25000",13801.135432767991]
[2,13801.135432767991]
["4 to 6 hours a day",13801.135432767991]
[13801.135432767991,13801.135432767991]
["ID0913",18698.312521814696]
["India",18698.312521814696]
["Manager",18698.312521814696]
["INR",18698.312521814696]
["01 | 12500 - 25000",18698.312521814696]
[5,18698.312521814696]
["All the 8 hours baby, all the 8!",18698.312521814696]
[18698.312521814696,18698.312521814696]
["ID0914",36000]
["Czech Republic",36000]
["Controller",36000]
["USD",36000]
["02 | 25000 - 37500",36000]
[9,36000]
["2 to 3 hours per day",36000]
[36000,36000]
["ID0915",8654.6475100970874]
["India",8654.6475100970874]
["Manager",8654.6475100970874]
["INR",8654.6475100970874]
["00 | 0 - 12500",8654.6475100970874]
[6,8654.6475100970874]
["All the 8 hours baby, all the 8!",8654.6475100970874]
[8654.6475100970874,8654.6475100970874]
["ID0916",102451.58768437347]
["UK",102451.58768437347]
["Manager",102451.58768437347]
["GBP",102451.58768437347]
["08 | 100000 - 112500",102451.58768437347]
[15,102451.58768437347]
["1 or 2 hours a day",102451.58768437347]
[102451.58768437347,102451.58768437347]
["ID0917",36400]
["Zimbabwe",36400]
["Analyst",36400]
["USD",36400]
["02 | 25000 - 37500",36400]
[20,36400]
["4 to 6 hours a day",36400]
[36400,36400]
["ID0918",101206.40684944032]
["UK",101206.40684944032]
["Consultant",101206.40684944032]
["GBP",101206.40684944032]
["08 | 100000 - 112500",101206.40684944032]
[16,101206.40684944032]
["4 to 6 hours a day",101206.40684944032]
[101206.40684944032,101206.40684944032]
["ID0919",5342.3750062327708]
["India",5342.3750062327708]
["Analyst",5342.3750062327708]
["INR",5342.3750062327708]
["00 | 0 - 12500",5342.3750062327708]
[0.5,5342.3750062327708]
["4 to 6 hours a day",5342.3750062327708]
[5342.3750062327708,5342.3750062327708]
["ID0920",28310.79811950968]
["UAE",28310.79811950968]
["Analyst",28310.79811950968]
["AED",28310.79811950968]
["02 | 25000 - 37500",28310.79811950968]
[11,28310.79811950968]
["4 to 6 hours a day",28310.79811950968]
[28310.79811950968,28310.79811950968]
["ID0921",26043.18849932796]
["Poland",26043.18849932796]
["Manager",26043.18849932796]
["EUR",26043.18849932796]
["02 | 25000 - 37500",26043.18849932796]
[8,26043.18849932796]
["4 to 6 hours a day",26043.18849932796]
[26043.18849932796,26043.18849932796]
["ID0922",96891.417358250401]
["Australia",96891.417358250401]
["Analyst",96891.417358250401]
["AUD",96891.417358250401]
["07 | 87500 - 100000",96891.417358250401]
[7,96891.417358250401]
["1 or 2 hours a day",96891.417358250401]
[96891.417358250401,96891.417358250401]
["ID0923",2564.3400029917298]
["India",2564.3400029917298]
["Controller",2564.3400029917298]
["INR",2564.3400029917298]
["00 | 0 - 12500",2564.3400029917298]
[4,2564.3400029917298]
["4 to 6 hours a day",2564.3400029917298]
[2564.3400029917298,2564.3400029917298]
["ID0924",3205.4250037396623]
["India",3205.4250037396623]
["Reporting",3205.4250037396623]
["INR",3205.4250037396623]
["00 | 0 - 12500",3205.4250037396623]
[8,3205.4250037396623]
["All the 8 hours baby, all the 8!",3205.4250037396623]
[3205.4250037396623,3205.4250037396623]
["ID0925",10684.750012465542]
["India",10684.750012465542]
["Analyst",10684.750012465542]
["INR",10684.750012465542]
["00 | 0 - 12500",10684.750012465542]
[8,10684.750012465542]
["All the 8 hours baby, all the 8!",10684.750012465542]
[10684.750012465542,10684.750012465542]
["ID0927",150000]
["USA",150000]
["Controller",150000]
["USD",150000]
["12 | 150000 - 162500",150000]
[25,150000]
["4 to 6 hours a day",150000]
[150000,150000]
["ID0928",12465.541681209797]
["India",12465.541681209797]
["Manager",12465.541681209797]
["INR",12465.541681209797]
["00 | 0 - 12500",12465.541681209797]
[3,12465.541681209797]
["4 to 6 hours a day",12465.541681209797]
[12465.541681209797,12465.541681209797]
["ID0929",19055.991584874118]
["Slovenia",19055.991584874118]
["Analyst",19055.991584874118]
["EUR",19055.991584874118]
["01 | 12500 - 25000",19055.991584874118]
[4,19055.991584874118]
["4 to 6 hours a day",19055.991584874118]
[19055.991584874118,19055.991584874118]
["ID0930",105000]
["USA",105000]
["Analyst",105000]
["USD",105000]
["08 | 100000 - 112500",105000]
[20,105000]
["4 to 6 hours a day",105000]
[105000,105000]
["ID0931",24000]
["India",24000]
["Analyst",24000]
["USD",24000]
["01 | 12500 - 25000",24000]
[3,24000]
["4 to 6 hours a day",24000]
[24000,24000]
["ID0932",78808.913603364199]
["UK",78808.913603364199]
["Analyst",78808.913603364199]
["GBP",78808.913603364199]
["06 | 75000 - 87500",78808.913603364199]
[10,78808.913603364199]
["All the 8 hours baby, all the 8!",78808.913603364199]
[78808.913603364199,78808.913603364199]
["ID0933",42000]
["Saudi Arabia",42000]
["Controller",42000]
["USD",42000]
["03 | 37500 - 50000",42000]
[15,42000]
["All the 8 hours baby, all the 8!",42000]
[42000,42000]
["ID0934",9490.1984044603923]
["Brazil",9490.1984044603923]
["Analyst",9490.1984044603923]
["BRL",9490.1984044603923]
["00 | 0 - 12500",9490.1984044603923]
[8,9490.1984044603923]
["All the 8 hours baby, all the 8!",9490.1984044603923]
[9490.1984044603923,9490.1984044603923]
["ID0935",60000]
["Singapore",60000]
["Consultant",60000]
["USD",60000]
["04 | 50000 - 62500",60000]
[5,60000]
["4 to 6 hours a day",60000]
[60000,60000]
["ID0936",17807.916687442568]
["India",17807.916687442568]
["Manager",17807.916687442568]
["INR",17807.916687442568]
["01 | 12500 - 25000",17807.916687442568]
[8,17807.916687442568]
["All the 8 hours baby, all the 8!",17807.916687442568]
[17807.916687442568,17807.916687442568]
["ID0937",12465.541681209797]
["India",12465.541681209797]
["Analyst",12465.541681209797]
["INR",12465.541681209797]
["00 | 0 - 12500",12465.541681209797]
[1,12465.541681209797]
["All the 8 hours baby, all the 8!",12465.541681209797]
[12465.541681209797,12465.541681209797]
["ID0938",20571]
["Albania",20571]
["CXO or Top Mgmt.",20571]
["USD",20571]
["01 | 12500 - 25000",20571]
[8,20571]
["4 to 6 hours a day",20571]
[20571,20571]
["ID0939",3480]
["Pakistan",3480]
["Manager",3480]
["USD",3480]
["00 | 0 - 12500",3480]
[6,3480]
["All the 8 hours baby, all the 8!",3480]
[3480,3480]
["ID0940",18060]
["Philippines",18060]
["Reporting",18060]
["USD",18060]
["01 | 12500 - 25000",18060]
[12,18060]
["4 to 6 hours a day",18060]
[18060,18060]
["ID0941",30000]
["iran",30000]
["Accountant",30000]
["USD",30000]
["02 | 25000 - 37500",30000]
[30,30000]
["2 to 3 hours per day",30000]
[30000,30000]
["ID0943",24000]
["India",24000]
["Manager",24000]
["USD",24000]
["01 | 12500 - 25000",24000]
[10,24000]
["4 to 6 hours a day",24000]
[24000,24000]
["ID0944",80289.244544269619]
["France",80289.244544269619]
["Consultant",80289.244544269619]
["EUR",80289.244544269619]
["06 | 75000 - 87500",80289.244544269619]
[3,80289.244544269619]
["4 to 6 hours a day",80289.244544269619]
[80289.244544269619,80289.244544269619]
["ID0945",70000]
["USA",70000]
["Manager",70000]
["USD",70000]
["05 | 62500 - 75000",70000]
[4,70000]
["4 to 6 hours a day",70000]
[70000,70000]
["ID0946",8547.8000099724322]
["India",8547.8000099724322]
["Manager",8547.8000099724322]
["INR",8547.8000099724322]
["00 | 0 - 12500",8547.8000099724322]
[2,8547.8000099724322]
["2 to 3 hours per day",8547.8000099724322]
[8547.8000099724322,8547.8000099724322]
["ID0948",10684.750012465542]
["India",10684.750012465542]
["Analyst",10684.750012465542]
["INR",10684.750012465542]
["00 | 0 - 12500",10684.750012465542]
[11,10684.750012465542]
["4 to 6 hours a day",10684.750012465542]
[10684.750012465542,10684.750012465542]
["ID0949",10684.750012465542]
["India",10684.750012465542]
["Analyst",10684.750012465542]
["INR",10684.750012465542]
["00 | 0 - 12500",10684.750012465542]
[4,10684.750012465542]
["2 to 3 hours per day",10684.750012465542]
[10684.750012465542,10684.750012465542]
["ID0950",20000]
["Zambia",20000]
["Accountant",20000]
["USD",20000]
["01 | 12500 - 25000",20000]
[2,20000]
["All the 8 hours baby, all the 8!",20000]
[20000,20000]
["ID0951",53356.776437647524]
["Germany",53356.776437647524]
["Consultant",53356.776437647524]
["EUR",53356.776437647524]
["04 | 50000 - 62500",53356.776437647524]
[3,53356.776437647524]
["2 to 3 hours per day",53356.776437647524]
[53356.776437647524,53356.776437647524]
["ID0952",36000]
["UAE",36000]
["Accountant",36000]
["USD",36000]
["02 | 25000 - 37500",36000]
[4.5,36000]
["4 to 6 hours a day",36000]
[36000,36000]
["ID0953",57000]
["USA",57000]
["Engineer",57000]
["USD",57000]
["04 | 50000 - 62500",57000]
[4,57000]
["2 to 3 hours per day",57000]
[57000,57000]
["ID0954",135000]
["USA",135000]
["Manager",135000]
["USD",135000]
["10 | 125000 - 137500",135000]
[15,135000]
["All the 8 hours baby, all the 8!",135000]
[135000,135000]
["ID0955",95279.957924370581]
["Netherlands",95279.957924370581]
["Analyst",95279.957924370581]
["EUR",95279.957924370581]
["07 | 87500 - 100000",95279.957924370581]
[4,95279.957924370581]
["4 to 6 hours a day",95279.957924370581]
[95279.957924370581,95279.957924370581]
["ID0957",57167.974754622352]
["Netherlands",57167.974754622352]
["Analyst",57167.974754622352]
["EUR",57167.974754622352]
["04 | 50000 - 62500",57167.974754622352]
[10,57167.974754622352]
["2 to 3 hours per day",57167.974754622352]
[57167.974754622352,57167.974754622352]
["ID0958",12326.656394453004]
["Nigeria",12326.656394453004]
["Manager",12326.656394453004]
["NAIRA",12326.656394453004]
["00 | 0 - 12500",12326.656394453004]
[5,12326.656394453004]
["4 to 6 hours a day",12326.656394453004]
[12326.656394453004,12326.656394453004]
["ID0959",8000]
["India",8000]
["Analyst",8000]
["USD",8000]
["00 | 0 - 12500",8000]
[5,8000]
["1 or 2 hours a day",8000]
[8000,8000]
["ID0960",48000]
["France",48000]
["Manager",48000]
["USD",48000]
["03 | 37500 - 50000",48000]
[5,48000]
["4 to 6 hours a day",48000]
[48000,48000]
["ID0961",40000]
["New Zealand",40000]
["Analyst",40000]
["USD",40000]
["03 | 37500 - 50000",40000]
[5,40000]
["4 to 6 hours a day",40000]
[40000,40000]
["ID0962",59819.107020370408]
["New Zealand",59819.107020370408]
["Analyst",59819.107020370408]
["NZD",59819.107020370408]
["04 | 50000 - 62500",59819.107020370408]
[10,59819.107020370408]
["4 to 6 hours a day",59819.107020370408]
[59819.107020370408,59819.107020370408]
["ID0963",150000]
["Switzerland",150000]
["Analyst",150000]
["USD",150000]
["12 | 150000 - 162500",150000]
[20,150000]
["1 or 2 hours a day",150000]
[150000,150000]
["ID0964",81592.772512210868]
["Australia",81592.772512210868]
["Manager",81592.772512210868]
["AUD",81592.772512210868]
["06 | 75000 - 87500",81592.772512210868]
[25,81592.772512210868]
["4 to 6 hours a day",81592.772512210868]
[81592.772512210868,81592.772512210868]
["ID0965",96891.417358250401]
["Australia",96891.417358250401]
["Analyst",96891.417358250401]
["AUD",96891.417358250401]
["07 | 87500 - 100000",96891.417358250401]
[20,96891.417358250401]
["2 to 3 hours per day",96891.417358250401]
[96891.417358250401,96891.417358250401]
["ID0966",91791.869076237213]
["Australia",91791.869076237213]
["Analyst",91791.869076237213]
["AUD",91791.869076237213]
["07 | 87500 - 100000",91791.869076237213]
[13,91791.869076237213]
["4 to 6 hours a day",91791.869076237213]
[91791.869076237213,91791.869076237213]
["ID0967",15000]
["India",15000]
["Analyst",15000]
["USD",15000]
["01 | 12500 - 25000",15000]
[2,15000]
["2 to 3 hours per day",15000]
[15000,15000]
["ID0968",66294.12766617132]
["Australia",66294.12766617132]
["Manager",66294.12766617132]
["AUD",66294.12766617132]
["05 | 62500 - 75000",66294.12766617132]
[5,66294.12766617132]
["2 to 3 hours per day",66294.12766617132]
[66294.12766617132,66294.12766617132]
["ID0969",101990.96564026357]
["Australia",101990.96564026357]
["Consultant",101990.96564026357]
["AUD",101990.96564026357]
["08 | 100000 - 112500",101990.96564026357]
[6,101990.96564026357]
["All the 8 hours baby, all the 8!",101990.96564026357]
[101990.96564026357,101990.96564026357]
["ID0970",60000]
["USA",60000]
["Manager",60000]
["USD",60000]
["04 | 50000 - 62500",60000]
[3,60000]
["2 to 3 hours per day",60000]
[60000,60000]
["ID0971",43856.11522531334]
["Australia",43856.11522531334]
["Manager",43856.11522531334]
["AUD",43856.11522531334]
["03 | 37500 - 50000",43856.11522531334]
[1,43856.11522531334]
["All the 8 hours baby, all the 8!",43856.11522531334]
[43856.11522531334,43856.11522531334]
["ID0972",45616]
["Australia",45616]
["Analyst",45616]
["USD",45616]
["03 | 37500 - 50000",45616]
[1.5,45616]
["4 to 6 hours a day",45616]
[45616,45616]
["ID0973",75770.868892469181]
["New Zealand",75770.868892469181]
["Accountant",75770.868892469181]
["NZD",75770.868892469181]
["06 | 75000 - 87500",75770.868892469181]
[20,75770.868892469181]
["4 to 6 hours a day",75770.868892469181]
[75770.868892469181,75770.868892469181]
["ID0974",57726.886552389187]
["Australia",57726.886552389187]
["Manager",57726.886552389187]
["AUD",57726.886552389187]
["04 | 50000 - 62500",57726.886552389187]
[2,57726.886552389187]
["2 to 3 hours per day",57726.886552389187]
[57726.886552389187,57726.886552389187]
["ID0975",20000]
["Australia",20000]
["Analyst",20000]
["USD",20000]
["01 | 12500 - 25000",20000]
[2,20000]
["2 to 3 hours per day",20000]
[20000,20000]
["ID0977",50995.482820131787]
["Australia",50995.482820131787]
["Controller",50995.482820131787]
["AUD",50995.482820131787]
["04 | 50000 - 62500",50995.482820131787]
[5,50995.482820131787]
["1 or 2 hours a day",50995.482820131787]
[50995.482820131787,50995.482820131787]
["ID0978",127488.70705032947]
["Australia",127488.70705032947]
["CXO or Top Mgmt.",127488.70705032947]
["AUD",127488.70705032947]
["10 | 125000 - 137500",127488.70705032947]
[15,127488.70705032947]
["4 to 6 hours a day",127488.70705032947]
[127488.70705032947,127488.70705032947]
["ID0979",66294.12766617132]
["Australia",66294.12766617132]
["Analyst",66294.12766617132]
["AUD",66294.12766617132]
["05 | 62500 - 75000",66294.12766617132]
[4,66294.12766617132]
["4 to 6 hours a day",66294.12766617132]
[66294.12766617132,66294.12766617132]
["ID0980",63234.398696963413]
["Australia",63234.398696963413]
["Analyst",63234.398696963413]
["AUD",63234.398696963413]
["05 | 62500 - 75000",63234.398696963413]
[3,63234.398696963413]
["4 to 6 hours a day",63234.398696963413]
[63234.398696963413,63234.398696963413]
["ID0983",112190.06220428993]
["Australia",112190.06220428993]
["Manager",112190.06220428993]
["AUD",112190.06220428993]
["08 | 100000 - 112500",112190.06220428993]
[8,112190.06220428993]
["2 to 3 hours per day",112190.06220428993]
[112190.06220428993,112190.06220428993]
["ID0984",71393.675948184507]
["Australia",71393.675948184507]
["Manager",71393.675948184507]
["AUD",71393.675948184507]
["05 | 62500 - 75000",71393.675948184507]
[7,71393.675948184507]
["4 to 6 hours a day",71393.675948184507]
[71393.675948184507,71393.675948184507]
["ID0985",85000]
["Australia",85000]
["Reporting",85000]
["USD",85000]
["06 | 75000 - 87500",85000]
[8,85000]
["4 to 6 hours a day",85000]
[85000,85000]
["ID0986",95871.50770184776]
["Australia",95871.50770184776]
["Analyst",95871.50770184776]
["AUD",95871.50770184776]
["07 | 87500 - 100000",95871.50770184776]
[2.5,95871.50770184776]
["2 to 3 hours per day",95871.50770184776]
[95871.50770184776,95871.50770184776]
["ID0987",109130.33323508203]
["Australia",109130.33323508203]
["Manager",109130.33323508203]
["AUD",109130.33323508203]
["08 | 100000 - 112500",109130.33323508203]
[35,109130.33323508203]
["4 to 6 hours a day",109130.33323508203]
[109130.33323508203,109130.33323508203]
["ID0988",36000]
["Malaysia",36000]
["Manager",36000]
["USD",36000]
["02 | 25000 - 37500",36000]
[3,36000]
["1 or 2 hours a day",36000]
[36000,36000]
["ID0989",122389.15876831629]
["Australia",122389.15876831629]
["Analyst",122389.15876831629]
["AUD",122389.15876831629]
["09 | 112500 - 125000",122389.15876831629]
[2,122389.15876831629]
["4 to 6 hours a day",122389.15876831629]
[122389.15876831629,122389.15876831629]
["ID0990",53035.30213293706]
["Australia",53035.30213293706]
["Analyst",53035.30213293706]
["AUD",53035.30213293706]
["04 | 50000 - 62500",53035.30213293706]
[4,53035.30213293706]
["4 to 6 hours a day",53035.30213293706]
[53035.30213293706,53035.30213293706]
["ID0991",125000]
["USA",125000]
["CXO or Top Mgmt.",125000]
["USD",125000]
["10 | 125000 - 137500",125000]
[10,125000]
["4 to 6 hours a day",125000]
[125000,125000]
["ID0992",19000]
["China",19000]
["Analyst",19000]
["USD",19000]
["01 | 12500 - 25000",19000]
[6,19000]
["4 to 6 hours a day",19000]
[19000,19000]
["ID0993",93831.688389042494]
["Australia",93831.688389042494]
["Analyst",93831.688389042494]
["AUD",93831.688389042494]
["07 | 87500 - 100000",93831.688389042494]
[6,93831.688389042494]
["All the 8 hours baby, all the 8!",93831.688389042494]
[93831.688389042494,93831.688389042494]
["ID0994",101990.96564026357]
["Australia",101990.96564026357]
["Analyst",101990.96564026357]
["AUD",101990.96564026357]
["08 | 100000 - 112500",101990.96564026357]
[20,101990.96564026357]
["4 to 6 hours a day",101990.96564026357]
[101990.96564026357,101990.96564026357]
["ID0995",122389.15876831629]
["Australia",122389.15876831629]
["Analyst",122389.15876831629]
["AUD",122389.15876831629]
["09 | 112500 - 125000",122389.15876831629]
[5,122389.15876831629]
["4 to 6 hours a day",122389.15876831629]
[122389.15876831629,122389.15876831629]
["ID0996",34417.653306061438]
["Canada",34417.653306061438]
["Analyst",34417.653306061438]
["CAD",34417.653306061438]
["02 | 25000 - 37500",34417.653306061438]
[4,34417.653306061438]
["All the 8 hours baby, all the 8!",34417.653306061438]
[34417.653306061438,34417.653306061438]
["ID0997",12000]
["Asia",12000]
["Manager",12000]
["USD",12000]
["00 | 0 - 12500",12000]
[3,12000]
["All the 8 hours baby, all the 8!",12000]
[12000,12000]
["ID0998",3632.815004238284]
["India",3632.815004238284]
["Manager",3632.815004238284]
["INR",3632.815004238284]
["00 | 0 - 12500",3632.815004238284]
[0,3632.815004238284]
["4 to 6 hours a day",3632.815004238284]
[3632.815004238284,3632.815004238284]
["ID0999",21369.500024931083]
["India",21369.500024931083]
["Consultant",21369.500024931083]
["INR",21369.500024931083]
["01 | 12500 - 25000",21369.500024931083]
[6,21369.500024931083]
["All the 8 hours baby, all the 8!",21369.500024931083]
[21369.500024931083,21369.500024931083]
["ID1000",8903.9583437212841]
["India",8903.9583437212841]
["Analyst",8903.9583437212841]
["INR",8903.9583437212841]
["00 | 0 - 12500",8903.9583437212841]
[7,8903.9583437212841]
["4 to 6 hours a day",8903.9583437212841]
[8903.9583437212841,8903.9583437212841]
["ID1001",15206.427249917633]
["Malaysia",15206.427249917633]
["Manager",15206.427249917633]
["MYR",15206.427249917633]
["01 | 12500 - 25000",15206.427249917633]
[2,15206.427249917633]
["4 to 6 hours a day",15206.427249917633]
[15206.427249917633,15206.427249917633]
["ID1002",143565.85684888897]
["New Zealand",143565.85684888897]
["Manager",143565.85684888897]
["NZD",143565.85684888897]
["11 | 137500 - 150000",143565.85684888897]
[25,143565.85684888897]
["4 to 6 hours a day",143565.85684888897]
[143565.85684888897,143565.85684888897]
["ID1003",9705.3145946561999]
["India",9705.3145946561999]
["Manager",9705.3145946561999]
["INR",9705.3145946561999]
["00 | 0 - 12500",9705.3145946561999]
[6,9705.3145946561999]
["2 to 3 hours per day",9705.3145946561999]
[9705.3145946561999,9705.3145946561999]
["ID1004",17807.916687442568]
["India",17807.916687442568]
["Manager",17807.916687442568]
["INR",17807.916687442568]
["01 | 12500 - 25000",17807.916687442568]
[8,17807.916687442568]
["All the 8 hours baby, all the 8!",17807.916687442568]
[17807.916687442568,17807.916687442568]
["ID1005",3205.4250037396623]
["India",3205.4250037396623]
["Analyst",3205.4250037396623]
["INR",3205.4250037396623]
["00 | 0 - 12500",3205.4250037396623]
[10,3205.4250037396623]
["4 to 6 hours a day",3205.4250037396623]
[3205.4250037396623,3205.4250037396623]
["ID1006",45000]
["USA",45000]
["Accountant",45000]
["USD",45000]
["03 | 37500 - 50000",45000]
[3,45000]
["All the 8 hours baby, all the 8!",45000]
[45000,45000]
["ID1007",12465.541681209797]
["India",12465.541681209797]
["Manager",12465.541681209797]
["INR",12465.541681209797]
["00 | 0 - 12500",12465.541681209797]
[7,12465.541681209797]
["2 to 3 hours per day",12465.541681209797]
[12465.541681209797,12465.541681209797]
["ID1008",95871.50770184776]
["Australia",95871.50770184776]
["Analyst",95871.50770184776]
["AUD",95871.50770184776]
["07 | 87500 - 100000",95871.50770184776]
[14,95871.50770184776]
["2 to 3 hours per day",95871.50770184776]
[95871.50770184776,95871.50770184776]
["ID1009",173384.64158844808]
["Australia",173384.64158844808]
["Consultant",173384.64158844808]
["AUD",173384.64158844808]
["13 | 162500 - 175000",173384.64158844808]
[8,173384.64158844808]
["2 to 3 hours per day",173384.64158844808]
[173384.64158844808,173384.64158844808]
["ID1010",11575.14584683767]
["India",11575.14584683767]
["Manager",11575.14584683767]
["INR",11575.14584683767]
["00 | 0 - 12500",11575.14584683767]
[1,11575.14584683767]
["2 to 3 hours per day",11575.14584683767]
[11575.14584683767,11575.14584683767]
["ID1011",18000]
["India",18000]
["Specialist",18000]
["USD",18000]
["01 | 12500 - 25000",18000]
[8,18000]
["All the 8 hours baby, all the 8!",18000]
[18000,18000]
["ID1012",71393.675948184507]
["Australia",71393.675948184507]
["CXO or Top Mgmt.",71393.675948184507]
["AUD",71393.675948184507]
["05 | 62500 - 75000",71393.675948184507]
[2,71393.675948184507]
["All the 8 hours baby, all the 8!",71393.675948184507]
[71393.675948184507,71393.675948184507]
["ID1013",6232.7708406048987]
["India",6232.7708406048987]
["Analyst",6232.7708406048987]
["INR",6232.7708406048987]
["00 | 0 - 12500",6232.7708406048987]
[2.5,6232.7708406048987]
["4 to 6 hours a day",6232.7708406048987]
[6232.7708406048987,6232.7708406048987]
["ID1014",1805.7739622442759]
["Sri Lanka",1805.7739622442759]
["Manager",1805.7739622442759]
["LKR",1805.7739622442759]
["00 | 0 - 12500",1805.7739622442759]
[3,1805.7739622442759]
["4 to 6 hours a day",1805.7739622442759]
[1805.7739622442759,1805.7739622442759]
["ID1015",11397.066679963244]
["India",11397.066679963244]
["Analyst",11397.066679963244]
["INR",11397.066679963244]
["00 | 0 - 12500",11397.066679963244]
[6,11397.066679963244]
["All the 8 hours baby, all the 8!",11397.066679963244]
[11397.066679963244,11397.066679963244]
["ID1016",15000]
["India",15000]
["Manager",15000]
["USD",15000]
["01 | 12500 - 25000",15000]
[4,15000]
["4 to 6 hours a day",15000]
[15000,15000]
["ID1017",37612.869087708088]
["South Africa",37612.869087708088]
["Manager",37612.869087708088]
["ZAR",37612.869087708088]
["03 | 37500 - 50000",37612.869087708088]
[3,37612.869087708088]
["All the 8 hours baby, all the 8!",37612.869087708088]
[37612.869087708088,37612.869087708088]
["ID1018",6499.8895909165376]
["India",6499.8895909165376]
["Analyst",6499.8895909165376]
["INR",6499.8895909165376]
["00 | 0 - 12500",6499.8895909165376]
[3,6499.8895909165376]
["4 to 6 hours a day",6499.8895909165376]
[6499.8895909165376,6499.8895909165376]
["ID1019",20000]
["Paraguay",20000]
["Reporting",20000]
["USD",20000]
["01 | 12500 - 25000",20000]
[6,20000]
["All the 8 hours baby, all the 8!",20000]
[20000,20000]
["ID1020",7265]
["India",7265]
["Engineer",7265]
["USD",7265]
["00 | 0 - 12500",7265]
[6,7265]
["4 to 6 hours a day",7265]
[7265,7265]
["ID1021",72571.80269935554]
["Singapore",72571.80269935554]
["Manager",72571.80269935554]
["SGD",72571.80269935554]
["05 | 62500 - 75000",72571.80269935554]
[15,72571.80269935554]
["All the 8 hours baby, all the 8!",72571.80269935554]
[72571.80269935554,72571.80269935554]
["ID1023",8013.5625093491553]
["India",8013.5625093491553]
["Manager",8013.5625093491553]
["INR",8013.5625093491553]
["00 | 0 - 12500",8013.5625093491553]
[15,8013.5625093491553]
["All the 8 hours baby, all the 8!",8013.5625093491553]
[8013.5625093491553,8013.5625093491553]
["ID1024",10150.512511842264]
["India",10150.512511842264]
["Analyst",10150.512511842264]
["INR",10150.512511842264]
["00 | 0 - 12500",10150.512511842264]
[5,10150.512511842264]
["4 to 6 hours a day",10150.512511842264]
[10150.512511842264,10150.512511842264]
["ID1025",65000]
["USA",65000]
["Controller",65000]
["USD",65000]
["05 | 62500 - 75000",65000]
[9,65000]
["4 to 6 hours a day",65000]
[65000,65000]
["ID1026",3184.2266150397395]
["Pakistan",3184.2266150397395]
["Manager",3184.2266150397395]
["PKR",3184.2266150397395]
["00 | 0 - 12500",3184.2266150397395]
[4,3184.2266150397395]
["4 to 6 hours a day",3184.2266150397395]
[3184.2266150397395,3184.2266150397395]
["ID1027",10898.445012714852]
["India",10898.445012714852]
["Manager",10898.445012714852]
["INR",10898.445012714852]
["00 | 0 - 12500",10898.445012714852]
[13,10898.445012714852]
["2 to 3 hours per day",10898.445012714852]
[10898.445012714852,10898.445012714852]
["ID1028",10800]
["Pakistan",10800]
["Manager",10800]
["USD",10800]
["00 | 0 - 12500",10800]
[5,10800]
["All the 8 hours baby, all the 8!",10800]
[10800,10800]
["ID1029",2136.9500024931081]
["India",2136.9500024931081]
["Analyst",2136.9500024931081]
["INR",2136.9500024931081]
["00 | 0 - 12500",2136.9500024931081]
[3.5,2136.9500024931081]
["2 to 3 hours per day",2136.9500024931081]
[2136.9500024931081,2136.9500024931081]
["ID1030",45000]
["Singapore",45000]
["Engineer",45000]
["USD",45000]
["03 | 37500 - 50000",45000]
[4,45000]
["2 to 3 hours per day",45000]
[45000,45000]
["ID1031",7123.1666749770275]
["India",7123.1666749770275]
["Manager",7123.1666749770275]
["INR",7123.1666749770275]
["00 | 0 - 12500",7123.1666749770275]
[5,7123.1666749770275]
["2 to 3 hours per day",7123.1666749770275]
[7123.1666749770275,7123.1666749770275]
["ID1032",5342.3750062327708]
["India",5342.3750062327708]
["Accountant",5342.3750062327708]
["INR",5342.3750062327708]
["00 | 0 - 12500",5342.3750062327708]
[5,5342.3750062327708]
["2 to 3 hours per day",5342.3750062327708]
[5342.3750062327708,5342.3750062327708]
["ID1033",18000]
["India",18000]
["Manager",18000]
["USD",18000]
["01 | 12500 - 25000",18000]
[4.5999999999999996,18000]
["2 to 3 hours per day",18000]
[18000,18000]
["ID1034",4840.0244548604041]
["Pakistan",4840.0244548604041]
["Manager",4840.0244548604041]
["PKR",4840.0244548604041]
["00 | 0 - 12500",4840.0244548604041]
[2,4840.0244548604041]
["4 to 6 hours a day",4840.0244548604041]
[4840.0244548604041,4840.0244548604041]
["ID1035",7479.3250087258784]
["India",7479.3250087258784]
["Analyst",7479.3250087258784]
["INR",7479.3250087258784]
["00 | 0 - 12500",7479.3250087258784]
[10,7479.3250087258784]
["2 to 3 hours per day",7479.3250087258784]
[7479.3250087258784,7479.3250087258784]
["ID1036",3739.6625043629392]
["India",3739.6625043629392]
["Reporting",3739.6625043629392]
["INR",3739.6625043629392]
["00 | 0 - 12500",3739.6625043629392]
[3.5,3739.6625043629392]
["All the 8 hours baby, all the 8!",3739.6625043629392]
[3739.6625043629392,3739.6625043629392]
["ID1037",42000]
["Kuwait",42000]
["Manager",42000]
["USD",42000]
["03 | 37500 - 50000",42000]
[5,42000]
["All the 8 hours baby, all the 8!",42000]
[42000,42000]
["ID1038",28000]
["India",28000]
["Reporting",28000]
["USD",28000]
["02 | 25000 - 37500",28000]
[3,28000]
["2 to 3 hours per day",28000]
[28000,28000]
["ID1039",6000]
["India",6000]
["Manager",6000]
["USD",6000]
["00 | 0 - 12500",6000]
[5,6000]
["4 to 6 hours a day",6000]
[6000,6000]
["ID1040",43867.345148271634]
["New Zealand",43867.345148271634]
["Analyst",43867.345148271634]
["NZD",43867.345148271634]
["03 | 37500 - 50000",43867.345148271634]
[10,43867.345148271634]
["All the 8 hours baby, all the 8!",43867.345148271634]
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["ID1041",17807.916687442568]
["India",17807.916687442568]
["Analyst",17807.916687442568]
["INR",17807.916687442568]
["01 | 12500 - 25000",17807.916687442568]
[25,17807.916687442568]
["1 or 2 hours a day",17807.916687442568]
[17807.916687442568,17807.916687442568]
["ID1042",10684.750012465542]
["India",10684.750012465542]
["Analyst",10684.750012465542]
["INR",10684.750012465542]
["00 | 0 - 12500",10684.750012465542]
[12,10684.750012465542]
["All the 8 hours baby, all the 8!",10684.750012465542]
[10684.750012465542,10684.750012465542]
["ID1043",60000]
["Finland",60000]
["Consultant",60000]
["USD",60000]
["04 | 50000 - 62500",60000]
[5,60000]
["All the 8 hours baby, all the 8!",60000]
[60000,60000]
["ID1044",8476.5683432226633]
["India",8476.5683432226633]
["Reporting",8476.5683432226633]
["INR",8476.5683432226633]
["00 | 0 - 12500",8476.5683432226633]
[8,8476.5683432226633]
["4 to 6 hours a day",8476.5683432226633]
[8476.5683432226633,8476.5683432226633]
["ID1045",8700]
["India",8700]
["Controller",8700]
["USD",8700]
["00 | 0 - 12500",8700]
[7,8700]
["2 to 3 hours per day",8700]
[8700,8700]
["ID1046",3561.5833374885137]
["India",3561.5833374885137]
["Manager",3561.5833374885137]
["INR",3561.5833374885137]
["00 | 0 - 12500",3561.5833374885137]
[8,3561.5833374885137]
["All the 8 hours baby, all the 8!",3561.5833374885137]
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["ID1047",3205.4250037396623]
["India",3205.4250037396623]
["Reporting",3205.4250037396623]
["INR",3205.4250037396623]
["00 | 0 - 12500",3205.4250037396623]
[4,3205.4250037396623]
["All the 8 hours baby, all the 8!",3205.4250037396623]
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["ID1048",4487.5950052355274]
["India",4487.5950052355274]
["Accountant",4487.5950052355274]
["INR",4487.5950052355274]
["00 | 0 - 12500",4487.5950052355274]
[5,4487.5950052355274]
["1 or 2 hours a day",4487.5950052355274]
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["ID1049",12465.541681209797]
["India",12465.541681209797]
["Analyst",12465.541681209797]
["INR",12465.541681209797]
["00 | 0 - 12500",12465.541681209797]
[5,12465.541681209797]
["4 to 6 hours a day",12465.541681209797]
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["ID1050",2400]
["Pakistan",2400]
["Accountant",2400]
["USD",2400]
["00 | 0 - 12500",2400]
[15,2400]
["2 to 3 hours per day",2400]
[2400,2400]
["ID1051",55000]
["Israel",55000]
["Reporting",55000]
["USD",55000]
["04 | 50000 - 62500",55000]
[6,55000]
["4 to 6 hours a day",55000]
[55000,55000]
["ID1052",12000]
["iran",12000]
["Controller",12000]
["USD",12000]
["00 | 0 - 12500",12000]
[3,12000]
["4 to 6 hours a day",12000]
[12000,12000]
["ID1053",55262.375596134938]
["Spain",55262.375596134938]
["Manager",55262.375596134938]
["EUR",55262.375596134938]
["04 | 50000 - 62500",55262.375596134938]
[10,55262.375596134938]
["2 to 3 hours per day",55262.375596134938]
[55262.375596134938,55262.375596134938]
["ID1054",21369.500024931083]
["India",21369.500024931083]
["Manager",21369.500024931083]
["INR",21369.500024931083]
["01 | 12500 - 25000",21369.500024931083]
[2,21369.500024931083]
["2 to 3 hours per day",21369.500024931083]
[21369.500024931083,21369.500024931083]
["ID1055",40980.635073749385]
["UK",40980.635073749385]
["Consultant",40980.635073749385]
["GBP",40980.635073749385]
["03 | 37500 - 50000",40980.635073749385]
[8,40980.635073749385]
["All the 8 hours baby, all the 8!",40980.635073749385]
[40980.635073749385,40980.635073749385]
["ID1056",50995.482820131787]
["Australia",50995.482820131787]
["Analyst",50995.482820131787]
["AUD",50995.482820131787]
["04 | 50000 - 62500",50995.482820131787]
[4,50995.482820131787]
["4 to 6 hours a day",50995.482820131787]
[50995.482820131787,50995.482820131787]
["ID1057",20326.391023865726]
["Greece",20326.391023865726]
["Manager",20326.391023865726]
["EUR",20326.391023865726]
["01 | 12500 - 25000",20326.391023865726]
[16,20326.391023865726]
["All the 8 hours baby, all the 8!",20326.391023865726]
[20326.391023865726,20326.391023865726]
["ID1058",12000]
["India",12000]
["Consultant",12000]
["USD",12000]
["00 | 0 - 12500",12000]
[8,12000]
["2 to 3 hours per day",12000]
[12000,12000]
["ID1059",29261.227167098674]
["South Africa",29261.227167098674]
["Accountant",29261.227167098674]
["ZAR",29261.227167098674]
["02 | 25000 - 37500",29261.227167098674]
[20,29261.227167098674]
["2 to 3 hours per day",29261.227167098674]
[29261.227167098674,29261.227167098674]
["ID1060",14630.613583549337]
["South Africa",14630.613583549337]
["CXO or Top Mgmt.",14630.613583549337]
["ZAR",14630.613583549337]
["01 | 12500 - 25000",14630.613583549337]
[10,14630.613583549337]
["4 to 6 hours a day",14630.613583549337]
[14630.613583549337,14630.613583549337]
["ID1061",7265.630008476568]
["India",7265.630008476568]
["Accountant",7265.630008476568]
["INR",7265.630008476568]
["00 | 0 - 12500",7265.630008476568]
[5,7265.630008476568]
["All the 8 hours baby, all the 8!",7265.630008476568]
[7265.630008476568,7265.630008476568]
["ID1062",44132.991617883956]
["UK",44132.991617883956]
["Analyst",44132.991617883956]
["GBP",44132.991617883956]
["03 | 37500 - 50000",44132.991617883956]
[16,44132.991617883956]
["2 to 3 hours per day",44132.991617883956]
[44132.991617883956,44132.991617883956]
["ID1063",9438.1958443445619]
["India",9438.1958443445619]
["Analyst",9438.1958443445619]
["INR",9438.1958443445619]
["00 | 0 - 12500",9438.1958443445619]
[7,9438.1958443445619]
["2 to 3 hours per day",9438.1958443445619]
[9438.1958443445619,9438.1958443445619]
["ID1064",18000]
["Poland",18000]
["Analyst",18000]
["USD",18000]
["01 | 12500 - 25000",18000]
[7,18000]
["4 to 6 hours a day",18000]
[18000,18000]
["ID1065",3561.5833374885137]
["India",3561.5833374885137]
["Manager",3561.5833374885137]
["INR",3561.5833374885137]
["00 | 0 - 12500",3561.5833374885137]
[5,3561.5833374885137]
["2 to 3 hours per day",3561.5833374885137]
[3561.5833374885137,3561.5833374885137]
["ID1066",3561.5833374885137]
["India",3561.5833374885137]
["Reporting",3561.5833374885137]
["INR",3561.5833374885137]
["00 | 0 - 12500",3561.5833374885137]
[3,3561.5833374885137]
["4 to 6 hours a day",3561.5833374885137]
[3561.5833374885137,3561.5833374885137]
["ID1067",5100]
["India",5100]
["Reporting",5100]
["USD",5100]
["00 | 0 - 12500",5100]
[8,5100]
["All the 8 hours baby, all the 8!",5100]
[5100,5100]
["ID1068",21369.500024931083]
["India",21369.500024931083]
["Analyst",21369.500024931083]
["INR",21369.500024931083]
["01 | 12500 - 25000",21369.500024931083]
[7,21369.500024931083]
["4 to 6 hours a day",21369.500024931083]
[21369.500024931083,21369.500024931083]
["ID1069",5342.3750062327708]
["India",5342.3750062327708]
["Consultant",5342.3750062327708]
["INR",5342.3750062327708]
["00 | 0 - 12500",5342.3750062327708]
[1,5342.3750062327708]
["2 to 3 hours per day",5342.3750062327708]
[5342.3750062327708,5342.3750062327708]
["ID1070",50000]
["India",50000]
["CXO or Top Mgmt.",50000]
["USD",50000]
["04 | 50000 - 62500",50000]
[26,50000]
["1 or 2 hours a day",50000]
[50000,50000]
["ID1071",28492.66669990811]
["India",28492.66669990811]
["Manager",28492.66669990811]
["INR",28492.66669990811]
["02 | 25000 - 37500",28492.66669990811]
[9,28492.66669990811]
["All the 8 hours baby, all the 8!",28492.66669990811]
[28492.66669990811,28492.66669990811]
["ID1072",24588.381044249632]
["UK",24588.381044249632]
["Analyst",24588.381044249632]
["GBP",24588.381044249632]
["01 | 12500 - 25000",24588.381044249632]
[0,24588.381044249632]
["All the 8 hours baby, all the 8!",24588.381044249632]
[24588.381044249632,24588.381044249632]
["ID1074",7000]
["India",7000]
["Reporting",7000]
["USD",7000]
["00 | 0 - 12500",7000]
[5,7000]
["All the 8 hours baby, all the 8!",7000]
[7000,7000]
["ID1075",7799.8675090998449]
["India",7799.8675090998449]
["Analyst",7799.8675090998449]
["INR",7799.8675090998449]
["00 | 0 - 12500",7799.8675090998449]
[10,7799.8675090998449]
["1 or 2 hours a day",7799.8675090998449]
[7799.8675090998449,7799.8675090998449]
["ID1076",78808.913603364199]
["UK",78808.913603364199]
["Manager",78808.913603364199]
["GBP",78808.913603364199]
["06 | 75000 - 87500",78808.913603364199]
[12,78808.913603364199]
["2 to 3 hours per day",78808.913603364199]
[78808.913603364199,78808.913603364199]
["ID1077",6720]
["India",6720]
["Reporting",6720]
["USD",6720]
["00 | 0 - 12500",6720]
[6,6720]
["4 to 6 hours a day",6720]
[6720,6720]
["ID1078",4451.9791718606421]
["India",4451.9791718606421]
["Reporting",4451.9791718606421]
["INR",4451.9791718606421]
["00 | 0 - 12500",4451.9791718606421]
[3.5,4451.9791718606421]
["All the 8 hours baby, all the 8!",4451.9791718606421]
[4451.9791718606421,4451.9791718606421]
["ID1079",47285.348162018527]
["UK",47285.348162018527]
["Analyst",47285.348162018527]
["GBP",47285.348162018527]
["03 | 37500 - 50000",47285.348162018527]
[15,47285.348162018527]
["All the 8 hours baby, all the 8!",47285.348162018527]
[47285.348162018527,47285.348162018527]
["ID1080",7200]
["India",7200]
["Analyst",7200]
["USD",7200]
["00 | 0 - 12500",7200]
[10,7200]
["All the 8 hours baby, all the 8!",7200]
[7200,7200]
["ID1081",44519.791718606422]
["India",44519.791718606422]
["CXO or Top Mgmt.",44519.791718606422]
["INR",44519.791718606422]
["03 | 37500 - 50000",44519.791718606422]
[9,44519.791718606422]
["4 to 6 hours a day",44519.791718606422]
[44519.791718606422,44519.791718606422]
["ID1082",2493.1083362419595]
["India",2493.1083362419595]
["Accountant",2493.1083362419595]
["INR",2493.1083362419595]
["00 | 0 - 12500",2493.1083362419595]
[4,2493.1083362419595]
["4 to 6 hours a day",2493.1083362419595]
[2493.1083362419595,2493.1083362419595]
["ID1083",31523.565441345683]
["UK",31523.565441345683]
["Analyst",31523.565441345683]
["GBP",31523.565441345683]
["02 | 25000 - 37500",31523.565441345683]
[1,31523.565441345683]
["4 to 6 hours a day",31523.565441345683]
[31523.565441345683,31523.565441345683]
["ID1084",21369.500024931083]
["India",21369.500024931083]
["Controller",21369.500024931083]
["INR",21369.500024931083]
["01 | 12500 - 25000",21369.500024931083]
[8,21369.500024931083]
["4 to 6 hours a day",21369.500024931083]
[21369.500024931083,21369.500024931083]
["ID1085",126094.26176538273]
["UK",126094.26176538273]
["Consultant",126094.26176538273]
["GBP",126094.26176538273]
["10 | 125000 - 137500",126094.26176538273]
[10,126094.26176538273]
["4 to 6 hours a day",126094.26176538273]
[126094.26176538273,126094.26176538273]
["ID1086",99299.231140238902]
["UK",99299.231140238902]
["Specialist",99299.231140238902]
["GBP",99299.231140238902]
["07 | 87500 - 100000",99299.231140238902]
[1,99299.231140238902]
["2 to 3 hours per day",99299.231140238902]
[99299.231140238902,99299.231140238902]
["ID1087",86689.804963700633]
["UK",86689.804963700633]
["CXO or Top Mgmt.",86689.804963700633]
["GBP",86689.804963700633]
["06 | 75000 - 87500",86689.804963700633]
[22,86689.804963700633]
["2 to 3 hours per day",86689.804963700633]
[86689.804963700633,86689.804963700633]
["ID1088",50000]
["India",50000]
["Manager",50000]
["USD",50000]
["04 | 50000 - 62500",50000]
[30,50000]
["2 to 3 hours per day",50000]
[50000,50000]
["ID1089",4273.9000049862161]
["India",4273.9000049862161]
["Analyst",4273.9000049862161]
["INR",4273.9000049862161]
["00 | 0 - 12500",4273.9000049862161]
[3,4273.9000049862161]
["2 to 3 hours per day",4273.9000049862161]
[4273.9000049862161,4273.9000049862161]
["ID1090",4451.9791718606421]
["India",4451.9791718606421]
["Reporting",4451.9791718606421]
["INR",4451.9791718606421]
["00 | 0 - 12500",4451.9791718606421]
[3,4451.9791718606421]
["2 to 3 hours per day",4451.9791718606421]
[4451.9791718606421,4451.9791718606421]
["ID1091",10684.750012465542]
["India",10684.750012465542]
["Analyst",10684.750012465542]
["INR",10684.750012465542]
["00 | 0 - 12500",10684.750012465542]
[10,10684.750012465542]
["4 to 6 hours a day",10684.750012465542]
[10684.750012465542,10684.750012465542]
["ID1092",63835.220018725006]
["UK",63835.220018725006]
["Manager",63835.220018725006]
["GBP",63835.220018725006]
["05 | 62500 - 75000",63835.220018725006]
[25,63835.220018725006]
["2 to 3 hours per day",63835.220018725006]
[63835.220018725006,63835.220018725006]
["ID1093",36252.100257547536]
["UK",36252.100257547536]
["Analyst",36252.100257547536]
["GBP",36252.100257547536]
["02 | 25000 - 37500",36252.100257547536]
[5,36252.100257547536]
["All the 8 hours baby, all the 8!",36252.100257547536]
[36252.100257547536,36252.100257547536]
["ID1094",7960]
["India",7960]
["Manager",7960]
["USD",7960]
["00 | 0 - 12500",7960]
[7,7960]
["4 to 6 hours a day",7960]
[7960,7960]
["ID1095",8903.9583437212841]
["India",8903.9583437212841]
["Analyst",8903.9583437212841]
["INR",8903.9583437212841]
["00 | 0 - 12500",8903.9583437212841]
[23,8903.9583437212841]
["2 to 3 hours per day",8903.9583437212841]
[8903.9583437212841,8903.9583437212841]
["ID1096",50815.977559664309]
["Netherlands",50815.977559664309]
["Analyst",50815.977559664309]
["EUR",50815.977559664309]
["04 | 50000 - 62500",50815.977559664309]
[3,50815.977559664309]
["4 to 6 hours a day",50815.977559664309]
[50815.977559664309,50815.977559664309]
["ID1097",47285.348162018527]
["UK",47285.348162018527]
["Analyst",47285.348162018527]
["GBP",47285.348162018527]
["03 | 37500 - 50000",47285.348162018527]
[4,47285.348162018527]
["4 to 6 hours a day",47285.348162018527]
[47285.348162018527,47285.348162018527]
["ID1098",75656.557059229643]
["UK",75656.557059229643]
["Manager",75656.557059229643]
["GBP",75656.557059229643]
["06 | 75000 - 87500",75656.557059229643]
[10,75656.557059229643]
["2 to 3 hours per day",75656.557059229643]
[75656.557059229643,75656.557059229643]
["ID1099",4273.9000049862161]
["India",4273.9000049862161]
["Accountant",4273.9000049862161]
["INR",4273.9000049862161]
["00 | 0 - 12500",4273.9000049862161]
[20,4273.9000049862161]
["All the 8 hours baby, all the 8!",4273.9000049862161]
[4273.9000049862161,4273.9000049862161]
["ID1100",47004.779242689488]
["Spain",47004.779242689488]
["Analyst",47004.779242689488]
["EUR",47004.779242689488]
["03 | 37500 - 50000",47004.779242689488]
[11,47004.779242689488]
["4 to 6 hours a day",47004.779242689488]
[47004.779242689488,47004.779242689488]
["ID1101",47285.348162018527]
["UK",47285.348162018527]
["Analyst",47285.348162018527]
["GBP",47285.348162018527]
["03 | 37500 - 50000",47285.348162018527]
[10,47285.348162018527]
["All the 8 hours baby, all the 8!",47285.348162018527]
[47285.348162018527,47285.348162018527]
["ID1102",91418.339779902482]
["UK",91418.339779902482]
["Analyst",91418.339779902482]
["GBP",91418.339779902482]
["07 | 87500 - 100000",91418.339779902482]
[8,91418.339779902482]
["All the 8 hours baby, all the 8!",91418.339779902482]
[91418.339779902482,91418.339779902482]
["ID1103",124518.08349331544]
["UK",124518.08349331544]
["Analyst",124518.08349331544]
["GBP",124518.08349331544]
["09 | 112500 - 125000",124518.08349331544]
[14,124518.08349331544]
["2 to 3 hours per day",124518.08349331544]
[124518.08349331544,124518.08349331544]
["ID1104",69213.140283018583]
["UK",69213.140283018583]
["Analyst",69213.140283018583]
["GBP",69213.140283018583]
["05 | 62500 - 75000",69213.140283018583]
[3,69213.140283018583]
["All the 8 hours baby, all the 8!",69213.140283018583]
[69213.140283018583,69213.140283018583]
["ID1105",3500]
["Pakistan",3500]
["Manager",3500]
["USD",3500]
["00 | 0 - 12500",3500]
[4,3500]
["4 to 6 hours a day",3500]
[3500,3500]
["ID1107",63047.130882691366]
["UK",63047.130882691366]
["Manager",63047.130882691366]
["GBP",63047.130882691366]
["05 | 62500 - 75000",63047.130882691366]
[20,63047.130882691366]
["1 or 2 hours a day",63047.130882691366]
[63047.130882691366,63047.130882691366]
["ID1108",72412.768022521646]
["Norway",72412.768022521646]
["Manager",72412.768022521646]
["EUR",72412.768022521646]
["05 | 62500 - 75000",72412.768022521646]
[15,72412.768022521646]
["1 or 2 hours a day",72412.768022521646]
[72412.768022521646,72412.768022521646]
["ID1109",50815.977559664309]
["Portugal",50815.977559664309]
["Accountant",50815.977559664309]
["EUR",50815.977559664309]
["04 | 50000 - 62500",50815.977559664309]
[10,50815.977559664309]
["2 to 3 hours per day",50815.977559664309]
[50815.977559664309,50815.977559664309]
["ID1110",21369.500024931083]
["India",21369.500024931083]
["Manager",21369.500024931083]
["INR",21369.500024931083]
["01 | 12500 - 25000",21369.500024931083]
[5,21369.500024931083]
["2 to 3 hours per day",21369.500024931083]
[21369.500024931083,21369.500024931083]
["ID1111",55166.239522354947]
["UK",55166.239522354947]
["Analyst",55166.239522354947]
["GBP",55166.239522354947]
["04 | 50000 - 62500",55166.239522354947]
[6,55166.239522354947]
["2 to 3 hours per day",55166.239522354947]
[55166.239522354947,55166.239522354947]
["ID1112",3205.4250037396623]
["India",3205.4250037396623]
["Analyst",3205.4250037396623]
["INR",3205.4250037396623]
["00 | 0 - 12500",3205.4250037396623]
[3,3205.4250037396623]
["All the 8 hours baby, all the 8!",3205.4250037396623]
[3205.4250037396623,3205.4250037396623]
["ID1113",10684.750012465542]
["India",10684.750012465542]
["Accountant",10684.750012465542]
["INR",10684.750012465542]
["00 | 0 - 12500",10684.750012465542]
[8,10684.750012465542]
["2 to 3 hours per day",10684.750012465542]
[10684.750012465542,10684.750012465542]
["ID1114",5342.3750062327708]
["India",5342.3750062327708]
["Analyst",5342.3750062327708]
["INR",5342.3750062327708]
["00 | 0 - 12500",5342.3750062327708]
[5,5342.3750062327708]
["4 to 6 hours a day",5342.3750062327708]
[5342.3750062327708,5342.3750062327708]
["ID1115",118213.37040504631]
["UK",118213.37040504631]
["Manager",118213.37040504631]
["GBP",118213.37040504631]
["09 | 112500 - 125000",118213.37040504631]
[10,118213.37040504631]
["2 to 3 hours per day",118213.37040504631]
[118213.37040504631,118213.37040504631]
["ID1116",12192.177986291113]
["South Africa",12192.177986291113]
["Manager",12192.177986291113]
["ZAR",12192.177986291113]
["00 | 0 - 12500",12192.177986291113]
[15,12192.177986291113]
["All the 8 hours baby, all the 8!",12192.177986291113]
[12192.177986291113,12192.177986291113]
["ID1117",70928.022243027779]
["UK",70928.022243027779]
["CXO or Top Mgmt.",70928.022243027779]
["GBP",70928.022243027779]
["05 | 62500 - 75000",70928.022243027779]
[8,70928.022243027779]
["4 to 6 hours a day",70928.022243027779]
[70928.022243027779,70928.022243027779]
["ID1118",39404.456801682099]
["UK",39404.456801682099]
["Analyst",39404.456801682099]
["GBP",39404.456801682099]
["03 | 37500 - 50000",39404.456801682099]
[3,39404.456801682099]
["4 to 6 hours a day",39404.456801682099]
[39404.456801682099,39404.456801682099]
["ID1119",18987]
["Nigeria",18987]
["Analyst",18987]
["USD",18987]
["01 | 12500 - 25000",18987]
[7,18987]
["All the 8 hours baby, all the 8!",18987]
[18987,18987]
["ID1120",44921.080753917595]
["UK",44921.080753917595]
["Manager",44921.080753917595]
["GBP",44921.080753917595]
["03 | 37500 - 50000",44921.080753917595]
[15,44921.080753917595]
["1 or 2 hours a day",44921.080753917595]
[44921.080753917595,44921.080753917595]
["ID1121",60000]
["India",60000]
["Manager",60000]
["USD",60000]
["04 | 50000 - 62500",60000]
[14,60000]
["All the 8 hours baby, all the 8!",60000]
[60000,60000]
["ID1122",71243.257897441246]
["UK",71243.257897441246]
["Manager",71243.257897441246]
["GBP",71243.257897441246]
["05 | 62500 - 75000",71243.257897441246]
[5,71243.257897441246]
["2 to 3 hours per day",71243.257897441246]
[71243.257897441246,71243.257897441246]
["ID1123",4487.5950052355274]
["India",4487.5950052355274]
["Manager",4487.5950052355274]
["INR",4487.5950052355274]
["00 | 0 - 12500",4487.5950052355274]
[16,4487.5950052355274]
["1 or 2 hours a day",4487.5950052355274]
[4487.5950052355274,4487.5950052355274]
["ID1124",4314.929445034084]
["India",4314.929445034084]
["Accountant",4314.929445034084]
["INR",4314.929445034084]
["00 | 0 - 12500",4314.929445034084]
[7,4314.929445034084]
["4 to 6 hours a day",4314.929445034084]
[4314.929445034084,4314.929445034084]
["ID1125",3739.6625043629392]
["India",3739.6625043629392]
["Analyst",3739.6625043629392]
["INR",3739.6625043629392]
["00 | 0 - 12500",3739.6625043629392]
[1,3739.6625043629392]
["All the 8 hours baby, all the 8!",3739.6625043629392]
[3739.6625043629392,3739.6625043629392]
["ID1126",76223.966339496474]
["Finland",76223.966339496474]
["Manager",76223.966339496474]
["EUR",76223.966339496474]
["06 | 75000 - 87500",76223.966339496474]
[4,76223.966339496474]
["1 or 2 hours a day",76223.966339496474]
[76223.966339496474,76223.966339496474]
["ID1127",32666.305522511171]
["UAE",32666.305522511171]
["Manager",32666.305522511171]
["AED",32666.305522511171]
["02 | 25000 - 37500",32666.305522511171]
[12,32666.305522511171]
["2 to 3 hours per day",32666.305522511171]
[32666.305522511171,32666.305522511171]
["ID1128",19000]
["UK",19000]
["Reporting",19000]
["USD",19000]
["01 | 12500 - 25000",19000]
[8,19000]
["All the 8 hours baby, all the 8!",19000]
[19000,19000]
["ID1129",63519.971949580387]
["Portugal",63519.971949580387]
["Engineer",63519.971949580387]
["EUR",63519.971949580387]
["05 | 62500 - 75000",63519.971949580387]
[14,63519.971949580387]
["2 to 3 hours per day",63519.971949580387]
[63519.971949580387,63519.971949580387]
["ID1130",16027.125018698311]
["India",16027.125018698311]
["Manager",16027.125018698311]
["INR",16027.125018698311]
["01 | 12500 - 25000",16027.125018698311]
[22,16027.125018698311]
["4 to 6 hours a day",16027.125018698311]
[16027.125018698311,16027.125018698311]
["ID1131",7123.1666749770275]
["India",7123.1666749770275]
["Reporting",7123.1666749770275]
["INR",7123.1666749770275]
["00 | 0 - 12500",7123.1666749770275]
[9,7123.1666749770275]
["4 to 6 hours a day",7123.1666749770275]
[7123.1666749770275,7123.1666749770275]
["ID1132",2675.675098121621]
["India",2675.675098121621]
["Manager",2675.675098121621]
["INR",2675.675098121621]
["00 | 0 - 12500",2675.675098121621]
[5,2675.675098121621]
["2 to 3 hours per day",2675.675098121621]
[2675.675098121621,2675.675098121621]
["ID1133",23642.674081009263]
["UK",23642.674081009263]
["Reporting",23642.674081009263]
["GBP",23642.674081009263]
["01 | 12500 - 25000",23642.674081009263]
[2,23642.674081009263]
["All the 8 hours baby, all the 8!",23642.674081009263]
[23642.674081009263,23642.674081009263]
["ID1134",57167.974754622352]
["Spain",57167.974754622352]
["Manager",57167.974754622352]
["EUR",57167.974754622352]
["04 | 50000 - 62500",57167.974754622352]
[14,57167.974754622352]
["4 to 6 hours a day",57167.974754622352]
[57167.974754622352,57167.974754622352]
["ID1135",42739.000049862167]
["India",42739.000049862167]
["Manager",42739.000049862167]
["INR",42739.000049862167]
["03 | 37500 - 50000",42739.000049862167]
[10,42739.000049862167]
["All the 8 hours baby, all the 8!",42739.000049862167]
[42739.000049862167,42739.000049862167]
["ID1136",5120.2912876821438]
["Philippines",5120.2912876821438]
["Manager",5120.2912876821438]
["PHP",5120.2912876821438]
["00 | 0 - 12500",5120.2912876821438]
[2,5120.2912876821438]
["4 to 6 hours a day",5120.2912876821438]
[5120.2912876821438,5120.2912876821438]
["ID1137",127039.94389916077]
["Spain",127039.94389916077]
["CXO or Top Mgmt.",127039.94389916077]
["EUR",127039.94389916077]
["10 | 125000 - 137500",127039.94389916077]
[20,127039.94389916077]
["1 or 2 hours a day",127039.94389916077]
[127039.94389916077,127039.94389916077]
["ID1138",90000]
["USA",90000]
["Manager",90000]
["USD",90000]
["07 | 87500 - 100000",90000]
[5,90000]
["4 to 6 hours a day",90000]
[90000,90000]
["ID1139",7123.1666749770275]
["India",7123.1666749770275]
["Engineer",7123.1666749770275]
["INR",7123.1666749770275]
["00 | 0 - 12500",7123.1666749770275]
[2,7123.1666749770275]
["1 or 2 hours a day",7123.1666749770275]
[7123.1666749770275,7123.1666749770275]
["ID1140",10000]
["India",10000]
["Analyst",10000]
["USD",10000]
["00 | 0 - 12500",10000]
[5,10000]
["2 to 3 hours per day",10000]
[10000,10000]
["ID1141",45709.169889951241]
["UK",45709.169889951241]
["Analyst",45709.169889951241]
["GBP",45709.169889951241]
["03 | 37500 - 50000",45709.169889951241]
[14,45709.169889951241]
["4 to 6 hours a day",45709.169889951241]
[45709.169889951241,45709.169889951241]
["ID1142",3561.5833374885137]
["India",3561.5833374885137]
["Reporting",3561.5833374885137]
["INR",3561.5833374885137]
["00 | 0 - 12500",3561.5833374885137]
[5,3561.5833374885137]
["All the 8 hours baby, all the 8!",3561.5833374885137]
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["ID1143",38111.983169748237]
["Belgium",38111.983169748237]
["Analyst",38111.983169748237]
["EUR",38111.983169748237]
["03 | 37500 - 50000",38111.983169748237]
[15,38111.983169748237]
["1 or 2 hours a day",38111.983169748237]
[38111.983169748237,38111.983169748237]
["ID1144",60000]
["USA",60000]
["Analyst",60000]
["USD",60000]
["04 | 50000 - 62500",60000]
[4,60000]
["2 to 3 hours per day",60000]
[60000,60000]
["ID1145",40000]
["India",40000]
["Engineer",40000]
["USD",40000]
["03 | 37500 - 50000",40000]
[2,40000]
["2 to 3 hours per day",40000]
[40000,40000]
["ID1146",15190.15293438851]
["India",15190.15293438851]
["Analyst",15190.15293438851]
["INR",15190.15293438851]
["01 | 12500 - 25000",15190.15293438851]
[6,15190.15293438851]
["2 to 3 hours per day",15190.15293438851]
[15190.15293438851,15190.15293438851]
["ID1147",114335.9495092447]
["CEE",114335.9495092447]
["Manager",114335.9495092447]
["EUR",114335.9495092447]
["09 | 112500 - 125000",114335.9495092447]
[20,114335.9495092447]
["2 to 3 hours per day",114335.9495092447]
[114335.9495092447,114335.9495092447]
["ID1148",36252.100257547536]
["UK",36252.100257547536]
["Manager",36252.100257547536]
["GBP",36252.100257547536]
["02 | 25000 - 37500",36252.100257547536]
[10,36252.100257547536]
["4 to 6 hours a day",36252.100257547536]
[36252.100257547536,36252.100257547536]
["ID1149",47285.348162018527]
["UK",47285.348162018527]
["Accountant",47285.348162018527]
["GBP",47285.348162018527]
["03 | 37500 - 50000",47285.348162018527]
[5,47285.348162018527]
["2 to 3 hours per day",47285.348162018527]
[47285.348162018527,47285.348162018527]
["ID1150",88927.960729412545]
["Ireland",88927.960729412545]
["Consultant",88927.960729412545]
["EUR",88927.960729412545]
["07 | 87500 - 100000",88927.960729412545]
[20,88927.960729412545]
["2 to 3 hours per day",88927.960729412545]
[88927.960729412545,88927.960729412545]
["ID1151",6000]
["Zambia",6000]
["Accountant",6000]
["USD",6000]
["00 | 0 - 12500",6000]
[5,6000]
["All the 8 hours baby, all the 8!",6000]
[6000,6000]
["ID1152",35000]
["USA",35000]
["Analyst",35000]
["USD",35000]
["02 | 25000 - 37500",35000]
[20,35000]
["All the 8 hours baby, all the 8!",35000]
[35000,35000]
["ID1153",55166.239522354947]
["UK",55166.239522354947]
["Analyst",55166.239522354947]
["GBP",55166.239522354947]
["04 | 50000 - 62500",55166.239522354947]
[10,55166.239522354947]
["4 to 6 hours a day",55166.239522354947]
[55166.239522354947,55166.239522354947]
["ID1154",1783.166904422254]
["Pakistan",1783.166904422254]
["Accountant",1783.166904422254]
["PKR",1783.166904422254]
["00 | 0 - 12500",1783.166904422254]
[10,1783.166904422254]
["4 to 6 hours a day",1783.166904422254]
[1783.166904422254,1783.166904422254]
["ID1155",13500]
["Montenegro",13500]
["Manager",13500]
["USD",13500]
["01 | 12500 - 25000",13500]
[13,13500]
["4 to 6 hours a day",13500]
[13500,13500]
["ID1156",59106.685202523156]
["UK",59106.685202523156]
["Accountant",59106.685202523156]
["GBP",59106.685202523156]
["04 | 50000 - 62500",59106.685202523156]
[5,59106.685202523156]
["2 to 3 hours per day",59106.685202523156]
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["ID1157",12608.005014709339]
["India",12608.005014709339]
["Manager",12608.005014709339]
["INR",12608.005014709339]
["01 | 12500 - 25000",12608.005014709339]
[5,12608.005014709339]
["4 to 6 hours a day",12608.005014709339]
[12608.005014709339,12608.005014709339]
["ID1158",44654.095718350931]
["South Africa",44654.095718350931]
["Accountant",44654.095718350931]
["ZAR",44654.095718350931]
["03 | 37500 - 50000",44654.095718350931]
[15,44654.095718350931]
["All the 8 hours baby, all the 8!",44654.095718350931]
[44654.095718350931,44654.095718350931]
["ID1159",69000]
["USA",69000]
["Analyst",69000]
["USD",69000]
["05 | 62500 - 75000",69000]
[20,69000]
["2 to 3 hours per day",69000]
[69000,69000]
["ID1160",6000]
["India",6000]
["Manager",6000]
["USD",6000]
["00 | 0 - 12500",6000]
[6,6000]
["4 to 6 hours a day",6000]
[6000,6000]
["ID1161",8903.9583437212841]
["India",8903.9583437212841]
["Manager",8903.9583437212841]
["INR",8903.9583437212841]
["00 | 0 - 12500",8903.9583437212841]
[25,8903.9583437212841]
["1 or 2 hours a day",8903.9583437212841]
[8903.9583437212841,8903.9583437212841]
["ID1162",30000]
["Mexico",30000]
["Manager",30000]
["USD",30000]
["02 | 25000 - 37500",30000]
[17,30000]
["All the 8 hours baby, all the 8!",30000]
[30000,30000]
["ID1163",8600]
["India",8600]
["Analyst",8600]
["USD",8600]
["00 | 0 - 12500",8600]
[2,8600]
["4 to 6 hours a day",8600]
[8600,8600]
["ID1164",81600]
["UK",81600]
["Analyst",81600]
["USD",81600]
["06 | 75000 - 87500",81600]
[4,81600]
["4 to 6 hours a day",81600]
[81600,81600]
["ID1165",15404.364569961488]
["Republica Dominicana",15404.364569961488]
["Analyst",15404.364569961488]
["DOP",15404.364569961488]
["01 | 12500 - 25000",15404.364569961488]
[3,15404.364569961488]
["All the 8 hours baby, all the 8!",15404.364569961488]
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["ID1166",63918.498996971248]
["Canada",63918.498996971248]
["Analyst",63918.498996971248]
["CAD",63918.498996971248]
["05 | 62500 - 75000",63918.498996971248]
[20,63918.498996971248]
["4 to 6 hours a day",63918.498996971248]
[63918.498996971248,63918.498996971248]
["ID1167",75000]
["USA",75000]
["Controller",75000]
["USD",75000]
["06 | 75000 - 87500",75000]
[20,75000]
["2 to 3 hours per day",75000]
[75000,75000]
["ID1168",59000]
["USA",59000]
["Analyst",59000]
["USD",59000]
["04 | 50000 - 62500",59000]
[14,59000]
["4 to 6 hours a day",59000]
[59000,59000]
["ID1169",50000]
["Canada",50000]
["Manager",50000]
["USD",50000]
["04 | 50000 - 62500",50000]
[5,50000]
["1 or 2 hours a day",50000]
[50000,50000]
["ID1170",126094.26176538273]
["UK",126094.26176538273]
["Controller",126094.26176538273]
["GBP",126094.26176538273]
["10 | 125000 - 137500",126094.26176538273]
[15,126094.26176538273]
["4 to 6 hours a day",126094.26176538273]
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["ID1171",26691.183012544854]
["Brazil",26691.183012544854]
["Manager",26691.183012544854]
["BRL",26691.183012544854]
["02 | 25000 - 37500",26691.183012544854]
[7,26691.183012544854]
["1 or 2 hours a day",26691.183012544854]
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["ID1172",8903.9583437212841]
["India",8903.9583437212841]
["Analyst",8903.9583437212841]
["INR",8903.9583437212841]
["00 | 0 - 12500",8903.9583437212841]
[0.8,8903.9583437212841]
["4 to 6 hours a day",8903.9583437212841]
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["ID1173",8725]
["Pakistan",8725]
["Manager",8725]
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["00 | 0 - 12500",8725]
[18,8725]
["2 to 3 hours per day",8725]
[8725,8725]
["ID1175",50437.70470615309]
["UK",50437.70470615309]
["Analyst",50437.70470615309]
["GBP",50437.70470615309]
["04 | 50000 - 62500",50437.70470615309]
[4,50437.70470615309]
["4 to 6 hours a day",50437.70470615309]
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["ID1176",67775.665698893223]
["UK",67775.665698893223]
["Accountant",67775.665698893223]
["GBP",67775.665698893223]
["05 | 62500 - 75000",67775.665698893223]
[15,67775.665698893223]
["All the 8 hours baby, all the 8!",67775.665698893223]
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["ID1177",52118.160720607324]
["Canada",52118.160720607324]
["Analyst",52118.160720607324]
["CAD",52118.160720607324]
["04 | 50000 - 62500",52118.160720607324]
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["4 to 6 hours a day",52118.160720607324]
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["ID1178",3561.5833374885137]
["India",3561.5833374885137]
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["00 | 0 - 12500",3561.5833374885137]
[6,3561.5833374885137]
["1 or 2 hours a day",3561.5833374885137]
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["ID1179",8013.5625093491553]
["India",8013.5625093491553]
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["00 | 0 - 12500",8013.5625093491553]
[21,8013.5625093491553]
["4 to 6 hours a day",8013.5625093491553]
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["ID1180",28000]
["Poland",28000]
["Manager",28000]
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["02 | 25000 - 37500",28000]
[5,28000]
["4 to 6 hours a day",28000]
[28000,28000]
["ID1181",50064.150455673145]
["UK",50064.150455673145]
["Analyst",50064.150455673145]
["GBP",50064.150455673145]
["04 | 50000 - 62500",50064.150455673145]
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["2 to 3 hours per day",50064.150455673145]
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["ID1182",50437.70470615309]
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["Analyst",50437.70470615309]
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["04 | 50000 - 62500",50437.70470615309]
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["ID1183",27840]
["USA",27840]
["Analyst",27840]
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["02 | 25000 - 37500",27840]
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["India",6232.7708406048987]
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["00 | 0 - 12500",6232.7708406048987]
[1.5,6232.7708406048987]
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["ID1185",50000]
["Singapore",50000]
["Engineer",50000]
["USD",50000]
["04 | 50000 - 62500",50000]
[25,50000]
["2 to 3 hours per day",50000]
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["ID1186",48000]
["Qatar",48000]
["Controller",48000]
["USD",48000]
["03 | 37500 - 50000",48000]
[10,48000]
["2 to 3 hours per day",48000]
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["ID1187",24000]
["Argentina",24000]
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["01 | 12500 - 25000",24000]
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["4 to 6 hours a day",24000]
[24000,24000]
["ID1188",75000]
["USA",75000]
["Analyst",75000]
["USD",75000]
["06 | 75000 - 87500",75000]
[12,75000]
["4 to 6 hours a day",75000]
[75000,75000]
["ID1189",58799.349940520107]
["Dubai",58799.349940520107]
["Analyst",58799.349940520107]
["AED",58799.349940520107]
["04 | 50000 - 62500",58799.349940520107]
[2,58799.349940520107]
["4 to 6 hours a day",58799.349940520107]
[58799.349940520107,58799.349940520107]
["ID1190",21228.177433598263]
["Pakistan",21228.177433598263]
["Consultant",21228.177433598263]
["PKR",21228.177433598263]
["01 | 12500 - 25000",21228.177433598263]
[8,21228.177433598263]
["All the 8 hours baby, all the 8!",21228.177433598263]
[21228.177433598263,21228.177433598263]
["ID1191",60000]
["USA",60000]
["Manager",60000]
["USD",60000]
["04 | 50000 - 62500",60000]
[10,60000]
["2 to 3 hours per day",60000]
[60000,60000]
["ID1192",18018.883790212141]
["Poland",18018.883790212141]
["Analyst",18018.883790212141]
["PLN",18018.883790212141]
["01 | 12500 - 25000",18018.883790212141]
[10,18018.883790212141]
["All the 8 hours baby, all the 8!",18018.883790212141]
[18018.883790212141,18018.883790212141]
["ID1193",7200]
["India",7200]
["Reporting",7200]
["USD",7200]
["00 | 0 - 12500",7200]
[7,7200]
["4 to 6 hours a day",7200]
[7200,7200]
["ID1194",56000]
["USA",56000]
["Analyst",56000]
["USD",56000]
["04 | 50000 - 62500",56000]
[2,56000]
["1 or 2 hours a day",56000]
[56000,56000]
["ID1195",9616.275011218986]
["India",9616.275011218986]
["Analyst",9616.275011218986]
["INR",9616.275011218986]
["00 | 0 - 12500",9616.275011218986]
[7.9,9616.275011218986]
["4 to 6 hours a day",9616.275011218986]
[9616.275011218986,9616.275011218986]
["ID1196",51497.005988023957]
["Kenya",51497.005988023957]
["Manager",51497.005988023957]
["KENYA",51497.005988023957]
["04 | 50000 - 62500",51497.005988023957]
[9,51497.005988023957]
["4 to 6 hours a day",51497.005988023957]
[51497.005988023957,51497.005988023957]
["ID1197",104172.75399731184]
["Netherlands",104172.75399731184]
["Manager",104172.75399731184]
["EUR",104172.75399731184]
["08 | 100000 - 112500",104172.75399731184]
[25,104172.75399731184]
["All the 8 hours baby, all the 8!",104172.75399731184]
[104172.75399731184,104172.75399731184]
["ID1198",88000]
["USA",88000]
["Manager",88000]
["USD",88000]
["07 | 87500 - 100000",88000]
[2,88000]
["4 to 6 hours a day",88000]
[88000,88000]
["ID1199",80000]
["USA",80000]
["Analyst",80000]
["USD",80000]
["06 | 75000 - 87500",80000]
[6,80000]
["4 to 6 hours a day",80000]
[80000,80000]
["ID1200",19000]
["UK",19000]
["Accountant",19000]
["USD",19000]
["01 | 12500 - 25000",19000]
[20,19000]
["4 to 6 hours a day",19000]
[19000,19000]
["ID1201",19055.991584874118]
["italy",19055.991584874118]
["Consultant",19055.991584874118]
["EUR",19055.991584874118]
["01 | 12500 - 25000",19055.991584874118]
[3,19055.991584874118]
["4 to 6 hours a day",19055.991584874118]
[19055.991584874118,19055.991584874118]
["ID1202",8547.8000099724322]
["India",8547.8000099724322]
["Consultant",8547.8000099724322]
["INR",8547.8000099724322]
["00 | 0 - 12500",8547.8000099724322]
[15,8547.8000099724322]
["All the 8 hours baby, all the 8!",8547.8000099724322]
[8547.8000099724322,8547.8000099724322]
["ID1203",19588.708356186824]
["India",19588.708356186824]
["Consultant",19588.708356186824]
["INR",19588.708356186824]
["01 | 12500 - 25000",19588.708356186824]
[13,19588.708356186824]
["All the 8 hours baby, all the 8!",19588.708356186824]
[19588.708356186824,19588.708356186824]
["ID1204",61000]
["USA",61000]
["Analyst",61000]
["USD",61000]
["04 | 50000 - 62500",61000]
[1.5,61000]
["4 to 6 hours a day",61000]
[61000,61000]
["ID1205",53590.061250287661]
["UK",53590.061250287661]
["Accountant",53590.061250287661]
["GBP",53590.061250287661]
["04 | 50000 - 62500",53590.061250287661]
[10,53590.061250287661]
["All the 8 hours baby, all the 8!",53590.061250287661]
[53590.061250287661,53590.061250287661]
["ID1206",53590.061250287661]
["UK",53590.061250287661]
["Accountant",53590.061250287661]
["GBP",53590.061250287661]
["04 | 50000 - 62500",53590.061250287661]
[10,53590.061250287661]
["All the 8 hours baby, all the 8!",53590.061250287661]
[53590.061250287661,53590.061250287661]
["ID1207",4451.9791718606421]
["India",4451.9791718606421]
["Manager",4451.9791718606421]
["INR",4451.9791718606421]
["00 | 0 - 12500",4451.9791718606421]
[1,4451.9791718606421]
["4 to 6 hours a day",4451.9791718606421]
[4451.9791718606421,4451.9791718606421]
["ID1208",25407.988779832154]
["Greece",25407.988779832154]
["Manager",25407.988779832154]
["EUR",25407.988779832154]
["02 | 25000 - 37500",25407.988779832154]
[12,25407.988779832154]
["1 or 2 hours a day",25407.988779832154]
[25407.988779832154,25407.988779832154]
["ID1209",23000]
["Saudi Arabia",23000]
["Accountant",23000]
["USD",23000]
["01 | 12500 - 25000",23000]
[14,23000]
["All the 8 hours baby, all the 8!",23000]
[23000,23000]
["ID1210",16027.125018698311]
["India",16027.125018698311]
["Manager",16027.125018698311]
["INR",16027.125018698311]
["01 | 12500 - 25000",16027.125018698311]
[13,16027.125018698311]
["1 or 2 hours a day",16027.125018698311]
[16027.125018698311,16027.125018698311]
["ID1211",60000]
["USA",60000]
["Engineer",60000]
["USD",60000]
["04 | 50000 - 62500",60000]
[6,60000]
["1 or 2 hours a day",60000]
[60000,60000]
["ID1212",4800]
["India",4800]
["Analyst",4800]
["USD",4800]
["00 | 0 - 12500",4800]
[5,4800]
["4 to 6 hours a day",4800]
[4800,4800]
["ID1213",106815.148267971]
["Denmark",106815.148267971]
["Manager",106815.148267971]
["DKK",106815.148267971]
["08 | 100000 - 112500",106815.148267971]
[25,106815.148267971]
["4 to 6 hours a day",106815.148267971]
[106815.148267971,106815.148267971]
["ID1214",8903.9583437212841]
["India",8903.9583437212841]
["Consultant",8903.9583437212841]
["INR",8903.9583437212841]
["00 | 0 - 12500",8903.9583437212841]
[3,8903.9583437212841]
["2 to 3 hours per day",8903.9583437212841]
[8903.9583437212841,8903.9583437212841]
["ID1215",60000]
["USA",60000]
["Manager",60000]
["USD",60000]
["04 | 50000 - 62500",60000]
[12,60000]
["4 to 6 hours a day",60000]
[60000,60000]
["ID1216",46300.583387350678]
["India",46300.583387350678]
["Manager",46300.583387350678]
["INR",46300.583387350678]
["03 | 37500 - 50000",46300.583387350678]
[4,46300.583387350678]
["4 to 6 hours a day",46300.583387350678]
[46300.583387350678,46300.583387350678]
["ID1217",13355.937515581925]
["India",13355.937515581925]
["Manager",13355.937515581925]
["INR",13355.937515581925]
["01 | 12500 - 25000",13355.937515581925]
[3,13355.937515581925]
["2 to 3 hours per day",13355.937515581925]
[13355.937515581925,13355.937515581925]
["ID1218",74000]
["USA",74000]
["Specialist",74000]
["USD",74000]
["05 | 62500 - 75000",74000]
[10,74000]
["4 to 6 hours a day",74000]
[74000,74000]
["ID1219",95856]
["USA",95856]
["Analyst",95856]
["USD",95856]
["07 | 87500 - 100000",95856]
[13,95856]
["2 to 3 hours per day",95856]
[95856,95856]
["ID1220",40000]
["USA",40000]
["Accountant",40000]
["USD",40000]
["03 | 37500 - 50000",40000]
[15,40000]
["2 to 3 hours per day",40000]
[40000,40000]
["ID1221",4400]
["Latin America",4400]
["Manager",4400]
["USD",4400]
["00 | 0 - 12500",4400]
[5,4400]
["2 to 3 hours per day",4400]
[4400,4400]
["ID1222",90000]
["USA",90000]
["Analyst",90000]
["USD",90000]
["07 | 87500 - 100000",90000]
[30,90000]
["4 to 6 hours a day",90000]
[90000,90000]
["ID1223",8013.5625093491553]
["India",8013.5625093491553]
["Manager",8013.5625093491553]
["INR",8013.5625093491553]
["00 | 0 - 12500",8013.5625093491553]
[2,8013.5625093491553]
["All the 8 hours baby, all the 8!",8013.5625093491553]
[8013.5625093491553,8013.5625093491553]
["ID1224",17807.916687442568]
["India",17807.916687442568]
["Manager",17807.916687442568]
["INR",17807.916687442568]
["01 | 12500 - 25000",17807.916687442568]
[8.5,17807.916687442568]
["4 to 6 hours a day",17807.916687442568]
[17807.916687442568,17807.916687442568]
["ID1225",12465.541681209797]
["India",12465.541681209797]
["Reporting",12465.541681209797]
["INR",12465.541681209797]
["00 | 0 - 12500",12465.541681209797]
[6,12465.541681209797]
["4 to 6 hours a day",12465.541681209797]
[12465.541681209797,12465.541681209797]
["ID1226",80000]
["Singapore",80000]
["Analyst",80000]
["USD",80000]
["06 | 75000 - 87500",80000]
[6,80000]
["1 or 2 hours a day",80000]
[80000,80000]
["ID1227",100000]
["USA",100000]
["Manager",100000]
["USD",100000]
["08 | 100000 - 112500",100000]
[11,100000]
["4 to 6 hours a day",100000]
[100000,100000]
["ID1228",49200]
["Qatar",49200]
["Accountant",49200]
["USD",49200]
["03 | 37500 - 50000",49200]
[25,49200]
["2 to 3 hours per day",49200]
[49200,49200]
["ID1229",9000]
["India",9000]
["Manager",9000]
["USD",9000]
["00 | 0 - 12500",9000]
[1,9000]
["4 to 6 hours a day",9000]
[9000,9000]
["ID1230",5342.3750062327708]
["India",5342.3750062327708]
["Analyst",5342.3750062327708]
["INR",5342.3750062327708]
["00 | 0 - 12500",5342.3750062327708]
[6,5342.3750062327708]
["4 to 6 hours a day",5342.3750062327708]
[5342.3750062327708,5342.3750062327708]
["ID1231",40000]
["Pakistan",40000]
["Manager",40000]
["USD",40000]
["03 | 37500 - 50000",40000]
[15,40000]
["4 to 6 hours a day",40000]
[40000,40000]
["ID1232",40980.635073749385]
["UK",40980.635073749385]
["Analyst",40980.635073749385]
["GBP",40980.635073749385]
["03 | 37500 - 50000",40980.635073749385]
[2,40980.635073749385]
["4 to 6 hours a day",40980.635073749385]
[40980.635073749385,40980.635073749385]
["ID1233",45709.169889951241]
["UK",45709.169889951241]
["Accountant",45709.169889951241]
["GBP",45709.169889951241]
["03 | 37500 - 50000",45709.169889951241]
[8,45709.169889951241]
["2 to 3 hours per day",45709.169889951241]
[45709.169889951241,45709.169889951241]
["ID1234",7123.1666749770275]
["India",7123.1666749770275]
["Manager",7123.1666749770275]
["INR",7123.1666749770275]
["00 | 0 - 12500",7123.1666749770275]
[1,7123.1666749770275]
["4 to 6 hours a day",7123.1666749770275]
[7123.1666749770275,7123.1666749770275]
["ID1235",100000]
["Norway",100000]
["Controller",100000]
["USD",100000]
["08 | 100000 - 112500",100000]
[12,100000]
["4 to 6 hours a day",100000]
[100000,100000]
["ID1236",78764.765217479682]
["Netherlands",78764.765217479682]
["Analyst",78764.765217479682]
["EUR",78764.765217479682]
["06 | 75000 - 87500",78764.765217479682]
[15,78764.765217479682]
["4 to 6 hours a day",78764.765217479682]
[78764.765217479682,78764.765217479682]
["ID1237",152986.44846039536]
["Australia",152986.44846039536]
["Analyst",152986.44846039536]
["AUD",152986.44846039536]
["12 | 150000 - 162500",152986.44846039536]
[10,152986.44846039536]
["2 to 3 hours per day",152986.44846039536]
[152986.44846039536,152986.44846039536]
["ID1238",44463.980364706273]
["Ireland",44463.980364706273]
["Analyst",44463.980364706273]
["EUR",44463.980364706273]
["03 | 37500 - 50000",44463.980364706273]
[12,44463.980364706273]
["All the 8 hours baby, all the 8!",44463.980364706273]
[44463.980364706273,44463.980364706273]
["ID1239",38111.983169748237]
["Netherlands",38111.983169748237]
["Consultant",38111.983169748237]
["EUR",38111.983169748237]
["03 | 37500 - 50000",38111.983169748237]
[8,38111.983169748237]
["1 or 2 hours a day",38111.983169748237]
[38111.983169748237,38111.983169748237]
["ID1240",118213.37040504631]
["UK",118213.37040504631]
["Manager",118213.37040504631]
["GBP",118213.37040504631]
["09 | 112500 - 125000",118213.37040504631]
[20,118213.37040504631]
["4 to 6 hours a day",118213.37040504631]
[118213.37040504631,118213.37040504631]
["ID1241",39404.456801682099]
["UK",39404.456801682099]
["Accountant",39404.456801682099]
["GBP",39404.456801682099]
["03 | 37500 - 50000",39404.456801682099]
[10,39404.456801682099]
["2 to 3 hours per day",39404.456801682099]
[39404.456801682099,39404.456801682099]
["ID1242",90198.36016840415]
["Germany",90198.36016840415]
["Consultant",90198.36016840415]
["EUR",90198.36016840415]
["07 | 87500 - 100000",90198.36016840415]
[3,90198.36016840415]
["1 or 2 hours a day",90198.36016840415]
[90198.36016840415,90198.36016840415]
["ID1243",47285.348162018527]
["UK",47285.348162018527]
["Specialist",47285.348162018527]
["GBP",47285.348162018527]
["03 | 37500 - 50000",47285.348162018527]
[14,47285.348162018527]
["4 to 6 hours a day",47285.348162018527]
[47285.348162018527,47285.348162018527]
["ID1244",56000]
["USA",56000]
["Accountant",56000]
["USD",56000]
["04 | 50000 - 62500",56000]
[1,56000]
["4 to 6 hours a day",56000]
[56000,56000]
["ID1245",5082.6943786459069]
["Indonesia",5082.6943786459069]
["Analyst",5082.6943786459069]
["IDR",5082.6943786459069]
["00 | 0 - 12500",5082.6943786459069]
[2,5082.6943786459069]
["1 or 2 hours a day",5082.6943786459069]
[5082.6943786459069,5082.6943786459069]
["ID1246",53590.061250287661]
["UK",53590.061250287661]
["Accountant",53590.061250287661]
["GBP",53590.061250287661]
["04 | 50000 - 62500",53590.061250287661]
[10,53590.061250287661]
["All the 8 hours baby, all the 8!",53590.061250287661]
[53590.061250287661,53590.061250287661]
["ID1247",76906.906752939132]
["Denmark",76906.906752939132]
["CXO or Top Mgmt.",76906.906752939132]
["DKK",76906.906752939132]
["06 | 75000 - 87500",76906.906752939132]
[17,76906.906752939132]
["All the 8 hours baby, all the 8!",76906.906752939132]
[76906.906752939132,76906.906752939132]
["ID1248",85000]
["USA",85000]
["Analyst",85000]
["USD",85000]
["06 | 75000 - 87500",85000]
[5,85000]
["4 to 6 hours a day",85000]
[85000,85000]
["ID1249",72000]
["New Zealand",72000]
["Consultant",72000]
["USD",72000]
["05 | 62500 - 75000",72000]
[10,72000]
["2 to 3 hours per day",72000]
[72000,72000]
["ID1250",55000]
["USA",55000]
["Analyst",55000]
["USD",55000]
["04 | 50000 - 62500",55000]
[7,55000]
["1 or 2 hours a day",55000]
[55000,55000]
["ID1251",67775.665698893223]
["UK",67775.665698893223]
["Controller",67775.665698893223]
["GBP",67775.665698893223]
["05 | 62500 - 75000",67775.665698893223]
[25,67775.665698893223]
["4 to 6 hours a day",67775.665698893223]
[67775.665698893223,67775.665698893223]
["ID1252",40586.590505732565]
["UK",40586.590505732565]
["Analyst",40586.590505732565]
["GBP",40586.590505732565]
["03 | 37500 - 50000",40586.590505732565]
[1,40586.590505732565]
["4 to 6 hours a day",40586.590505732565]
[40586.590505732565,40586.590505732565]
["ID1253",50846]
["USA",50846]
["Analyst",50846]
["USD",50846]
["04 | 50000 - 62500",50846]
[25,50846]
["4 to 6 hours a day",50846]
[50846,50846]
["ID1254",63000]
["USA",63000]
["Accountant",63000]
["USD",63000]
["05 | 62500 - 75000",63000]
[16,63000]
["All the 8 hours baby, all the 8!",63000]
[63000,63000]
["ID1255",81592.772512210868]
["Australia",81592.772512210868]
["Accountant",81592.772512210868]
["AUD",81592.772512210868]
["06 | 75000 - 87500",81592.772512210868]
[5,81592.772512210868]
["4 to 6 hours a day",81592.772512210868]
[81592.772512210868,81592.772512210868]
["ID1256",50700]
["Brazil",50700]
["Analyst",50700]
["USD",50700]
["04 | 50000 - 62500",50700]
[15,50700]
["1 or 2 hours a day",50700]
[50700,50700]
["ID1257",31523.565441345683]
["UK",31523.565441345683]
["Analyst",31523.565441345683]
["GBP",31523.565441345683]
["02 | 25000 - 37500",31523.565441345683]
[1,31523.565441345683]
["4 to 6 hours a day",31523.565441345683]
[31523.565441345683,31523.565441345683]
["ID1258",70000]
["USA",70000]
["Analyst",70000]
["USD",70000]
["05 | 62500 - 75000",70000]
[6,70000]
["1 or 2 hours a day",70000]
[70000,70000]
["ID1259",63918.498996971248]
["Canada",63918.498996971248]
["Manager",63918.498996971248]
["CAD",63918.498996971248]
["05 | 62500 - 75000",63918.498996971248]
[15,63918.498996971248]
["2 to 3 hours per day",63918.498996971248]
[63918.498996971248,63918.498996971248]
["ID1260",7261.724659606657]
["Mongolia",7261.724659606657]
["Analyst",7261.724659606657]
["MONGOLIAN",7261.724659606657]
["00 | 0 - 12500",7261.724659606657]
[2,7261.724659606657]
["All the 8 hours baby, all the 8!",7261.724659606657]
[7261.724659606657,7261.724659606657]
["ID1261",11404.820437438224]
["Malaysia",11404.820437438224]
["Engineer",11404.820437438224]
["MYR",11404.820437438224]
["00 | 0 - 12500",11404.820437438224]
[2,11404.820437438224]
["4 to 6 hours a day",11404.820437438224]
[11404.820437438224,11404.820437438224]
["ID1262",120000]
["Singapore",120000]
["Consultant",120000]
["USD",120000]
["09 | 112500 - 125000",120000]
[5,120000]
["1 or 2 hours a day",120000]
[120000,120000]
["ID1263",91791.869076237213]
["Australia",91791.869076237213]
["Analyst",91791.869076237213]
["AUD",91791.869076237213]
["07 | 87500 - 100000",91791.869076237213]
[5,91791.869076237213]
["4 to 6 hours a day",91791.869076237213]
[91791.869076237213,91791.869076237213]
["ID1264",112190.06220428993]
["Australia",112190.06220428993]
["Analyst",112190.06220428993]
["AUD",112190.06220428993]
["08 | 100000 - 112500",112190.06220428993]
[7,112190.06220428993]
["2 to 3 hours per day",112190.06220428993]
[112190.06220428993,112190.06220428993]
["ID1265",40000]
["USA",40000]
["Manager",40000]
["USD",40000]
["03 | 37500 - 50000",40000]
[18,40000]
["2 to 3 hours per day",40000]
[40000,40000]
["ID1266",107000]
["USA",107000]
["Accountant",107000]
["USD",107000]
["08 | 100000 - 112500",107000]
[12,107000]
["4 to 6 hours a day",107000]
[107000,107000]
["ID1267",82000]
["USA",82000]
["Manager",82000]
["USD",82000]
["06 | 75000 - 87500",82000]
[10,82000]
["4 to 6 hours a day",82000]
[82000,82000]
["ID1268",101990.96564026357]
["Australia",101990.96564026357]
["Consultant",101990.96564026357]
["AUD",101990.96564026357]
["08 | 100000 - 112500",101990.96564026357]
[15,101990.96564026357]
["4 to 6 hours a day",101990.96564026357]
[101990.96564026357,101990.96564026357]
["ID1270",43000]
["Australia",43000]
["Manager",43000]
["USD",43000]
["03 | 37500 - 50000",43000]
[4,43000]
["2 to 3 hours per day",43000]
[43000,43000]
["ID1271",69000]
["USA",69000]
["Controller",69000]
["USD",69000]
["05 | 62500 - 75000",69000]
[20,69000]
["4 to 6 hours a day",69000]
[69000,69000]
["ID1273",30000]
["India",30000]
["Manager",30000]
["USD",30000]
["02 | 25000 - 37500",30000]
[3,30000]
["2 to 3 hours per day",30000]
[30000,30000]
["ID1274",48955.663507326513]
["Australia",48955.663507326513]
["Analyst",48955.663507326513]
["AUD",48955.663507326513]
["03 | 37500 - 50000",48955.663507326513]
[2,48955.663507326513]
["1 or 2 hours a day",48955.663507326513]
[48955.663507326513,48955.663507326513]
["ID1275",70000]
["USA",70000]
["Manager",70000]
["USD",70000]
["05 | 62500 - 75000",70000]
[8,70000]
["4 to 6 hours a day",70000]
[70000,70000]
["ID1276",45000]
["USA",45000]
["Analyst",45000]
["USD",45000]
["03 | 37500 - 50000",45000]
[7,45000]
["4 to 6 hours a day",45000]
[45000,45000]
["ID1277",35000]
["Malaysia",35000]
["CXO or Top Mgmt.",35000]
["USD",35000]
["02 | 25000 - 37500",35000]
[12,35000]
["All the 8 hours baby, all the 8!",35000]
[35000,35000]
["ID1278",8903.9583437212841]
["India",8903.9583437212841]
["Manager",8903.9583437212841]
["INR",8903.9583437212841]
["00 | 0 - 12500",8903.9583437212841]
[29,8903.9583437212841]
["2 to 3 hours per day",8903.9583437212841]
[8903.9583437212841,8903.9583437212841]
["ID1279",28353.650809742252]
["Malaysia",28353.650809742252]
["Manager",28353.650809742252]
["MYR",28353.650809742252]
["02 | 25000 - 37500",28353.650809742252]
[20,28353.650809742252]
["2 to 3 hours per day",28353.650809742252]
[28353.650809742252,28353.650809742252]
["ID1280",11800]
["India",11800]
["Analyst",11800]
["USD",11800]
["00 | 0 - 12500",11800]
[10,11800]
["4 to 6 hours a day",11800]
[11800,11800]
["ID1281",6410.8500074793246]
["India",6410.8500074793246]
["Manager",6410.8500074793246]
["INR",6410.8500074793246]
["00 | 0 - 12500",6410.8500074793246]
[6,6410.8500074793246]
["All the 8 hours baby, all the 8!",6410.8500074793246]
[6410.8500074793246,6410.8500074793246]
["ID1282",50000]
["USA",50000]
["Analyst",50000]
["USD",50000]
["04 | 50000 - 62500",50000]
[3,50000]
["4 to 6 hours a day",50000]
[50000,50000]
["ID1283",85000]
["Sri Lanka",85000]
["Manager",85000]
["USD",85000]
["06 | 75000 - 87500",85000]
[10,85000]
["All the 8 hours baby, all the 8!",85000]
[85000,85000]
["ID1284",17807.916687442568]
["India",17807.916687442568]
["Manager",17807.916687442568]
["INR",17807.916687442568]
["01 | 12500 - 25000",17807.916687442568]
[10,17807.916687442568]
["2 to 3 hours per day",17807.916687442568]
[17807.916687442568,17807.916687442568]
["ID1285",16027.125018698311]
["India",16027.125018698311]
["Controller",16027.125018698311]
["INR",16027.125018698311]
["01 | 12500 - 25000",16027.125018698311]
[8,16027.125018698311]
["All the 8 hours baby, all the 8!",16027.125018698311]
[16027.125018698311,16027.125018698311]
["ID1286",192000]
["USA",192000]
["CXO or Top Mgmt.",192000]
["USD",192000]
["15 | 187500 - 200000",192000]
[27,192000]
["All the 8 hours baby, all the 8!",192000]
[192000,192000]
["ID1287",54000]
["USA",54000]
["Analyst",54000]
["USD",54000]
["04 | 50000 - 62500",54000]
[6,54000]
["All the 8 hours baby, all the 8!",54000]
[54000,54000]
["ID1288",18000]
["India",18000]
["Manager",18000]
["USD",18000]
["01 | 12500 - 25000",18000]
[12,18000]
["4 to 6 hours a day",18000]
[18000,18000]
["ID1289",5342.3750062327708]
["India",5342.3750062327708]
["Reporting",5342.3750062327708]
["INR",5342.3750062327708]
["00 | 0 - 12500",5342.3750062327708]
[5,5342.3750062327708]
["2 to 3 hours per day",5342.3750062327708]
[5342.3750062327708,5342.3750062327708]
["ID1290",7123.1666749770275]
["India",7123.1666749770275]
["Manager",7123.1666749770275]
["INR",7123.1666749770275]
["00 | 0 - 12500",7123.1666749770275]
[3,7123.1666749770275]
["All the 8 hours baby, all the 8!",7123.1666749770275]
[7123.1666749770275,7123.1666749770275]
["ID1291",15000]
["Myanmar",15000]
["Manager",15000]
["USD",15000]
["01 | 12500 - 25000",15000]
[10,15000]
["4 to 6 hours a day",15000]
[15000,15000]
["ID1292",14000]
["India",14000]
["Analyst",14000]
["USD",14000]
["01 | 12500 - 25000",14000]
[12,14000]
["4 to 6 hours a day",14000]
[14000,14000]
["ID1294",8000]
["India",8000]
["Analyst",8000]
["USD",8000]
["00 | 0 - 12500",8000]
[4,8000]
["All the 8 hours baby, all the 8!",8000]
[8000,8000]
["ID1295",12500]
["Philippines",12500]
["Specialist",12500]
["USD",12500]
["01 | 12500 - 25000",12500]
[7,12500]
["2 to 3 hours per day",12500]
[12500,12500]
["ID1296",140000]
["USA",140000]
["Accountant",140000]
["USD",140000]
["11 | 137500 - 150000",140000]
[12,140000]
["4 to 6 hours a day",140000]
[140000,140000]
["ID1297",12000]
["Pakistan",12000]
["Consultant",12000]
["USD",12000]
["00 | 0 - 12500",12000]
[1,12000]
["4 to 6 hours a day",12000]
[12000,12000]
["ID1298",38111.983169748237]
["Belgium",38111.983169748237]
["Analyst",38111.983169748237]
["EUR",38111.983169748237]
["03 | 37500 - 50000",38111.983169748237]
[15,38111.983169748237]
["2 to 3 hours per day",38111.983169748237]
[38111.983169748237,38111.983169748237]
["ID1299",10684.750012465542]
["India",10684.750012465542]
["Manager",10684.750012465542]
["INR",10684.750012465542]
["00 | 0 - 12500",10684.750012465542]
[2,10684.750012465542]
["2 to 3 hours per day",10684.750012465542]
[10684.750012465542,10684.750012465542]
["ID1301",6232.7708406048987]
["India",6232.7708406048987]
["Analyst",6232.7708406048987]
["INR",6232.7708406048987]
["00 | 0 - 12500",6232.7708406048987]
[1.5,6232.7708406048987]
["4 to 6 hours a day",6232.7708406048987]
[6232.7708406048987,6232.7708406048987]
["ID1302",45000]
["Pakistan",45000]
["Analyst",45000]
["USD",45000]
["03 | 37500 - 50000",45000]
[8,45000]
["All the 8 hours baby, all the 8!",45000]
[45000,45000]
["ID1303",80000]
["USA",80000]
["Manager",80000]
["USD",80000]
["06 | 75000 - 87500",80000]
[6,80000]
["1 or 2 hours a day",80000]
[80000,80000]
["ID1304",26711.875031163851]
["India",26711.875031163851]
["Analyst",26711.875031163851]
["INR",26711.875031163851]
["02 | 25000 - 37500",26711.875031163851]
[7,26711.875031163851]
["4 to 6 hours a day",26711.875031163851]
[26711.875031163851,26711.875031163851]
["ID1305",100000]
["Uganda",100000]
["Analyst",100000]
["USD",100000]
["08 | 100000 - 112500",100000]
[17,100000]
["4 to 6 hours a day",100000]
[100000,100000]
["ID1306",69353.856635379227]
["Australia",69353.856635379227]
["Manager",69353.856635379227]
["AUD",69353.856635379227]
["05 | 62500 - 75000",69353.856635379227]
[10,69353.856635379227]
["4 to 6 hours a day",69353.856635379227]
[69353.856635379227,69353.856635379227]
["ID1307",49975.573163729154]
["Australia",49975.573163729154]
["Controller",49975.573163729154]
["AUD",49975.573163729154]
["03 | 37500 - 50000",49975.573163729154]
[30,49975.573163729154]
["4 to 6 hours a day",49975.573163729154]
[49975.573163729154,49975.573163729154]
["ID1308",10239.552095279476]
["India",10239.552095279476]
["Manager",10239.552095279476]
["INR",10239.552095279476]
["00 | 0 - 12500",10239.552095279476]
[5,10239.552095279476]
["2 to 3 hours per day",10239.552095279476]
[10239.552095279476,10239.552095279476]
["ID1309",8903.9583437212841]
["India",8903.9583437212841]
["Engineer",8903.9583437212841]
["INR",8903.9583437212841]
["00 | 0 - 12500",8903.9583437212841]
[2,8903.9583437212841]
["4 to 6 hours a day",8903.9583437212841]
[8903.9583437212841,8903.9583437212841]
["ID1310",36000]
["Kuwait",36000]
["Analyst",36000]
["USD",36000]
["02 | 25000 - 37500",36000]
[10,36000]
["2 to 3 hours per day",36000]
[36000,36000]
["ID1311",3739.6625043629392]
["India",3739.6625043629392]
["Reporting",3739.6625043629392]
["INR",3739.6625043629392]
["00 | 0 - 12500",3739.6625043629392]
[4.5,3739.6625043629392]
["1 or 2 hours a day",3739.6625043629392]
[3739.6625043629392,3739.6625043629392]
["ID1312",61614.372791092981]
["Netherlands",61614.372791092981]
["Analyst",61614.372791092981]
["EUR",61614.372791092981]
["04 | 50000 - 62500",61614.372791092981]
[8,61614.372791092981]
["4 to 6 hours a day",61614.372791092981]
[61614.372791092981,61614.372791092981]
["ID1313",3561.5833374885137]
["India",3561.5833374885137]
["Reporting",3561.5833374885137]
["INR",3561.5833374885137]
["00 | 0 - 12500",3561.5833374885137]
[3,3561.5833374885137]
["2 to 3 hours per day",3561.5833374885137]
[3561.5833374885137,3561.5833374885137]
["ID1314",6410.8500074793246]
["India",6410.8500074793246]
["Analyst",6410.8500074793246]
["INR",6410.8500074793246]
["00 | 0 - 12500",6410.8500074793246]
[6,6410.8500074793246]
["All the 8 hours baby, all the 8!",6410.8500074793246]
[6410.8500074793246,6410.8500074793246]
["ID1315",36206.384011260823]
["Netherlands",36206.384011260823]
["Analyst",36206.384011260823]
["EUR",36206.384011260823]
["02 | 25000 - 37500",36206.384011260823]
[5,36206.384011260823]
["1 or 2 hours a day",36206.384011260823]
[36206.384011260823,36206.384011260823]
["ID1316",13500]
["India",13500]
["Manager",13500]
["USD",13500]
["01 | 12500 - 25000",13500]
[20,13500]
["2 to 3 hours per day",13500]
[13500,13500]
["ID1317",3000]
["Sri Lanka",3000]
["Accountant",3000]
["USD",3000]
["00 | 0 - 12500",3000]
[2,3000]
["4 to 6 hours a day",3000]
[3000,3000]
["ID1318",21369.500024931083]
["India",21369.500024931083]
["Manager",21369.500024931083]
["INR",21369.500024931083]
["01 | 12500 - 25000",21369.500024931083]
[9,21369.500024931083]
["4 to 6 hours a day",21369.500024931083]
[21369.500024931083,21369.500024931083]
["ID1319",10684.750012465542]
["India",10684.750012465542]
["Manager",10684.750012465542]
["INR",10684.750012465542]
["00 | 0 - 12500",10684.750012465542]
[28,10684.750012465542]
["2 to 3 hours per day",10684.750012465542]
[10684.750012465542,10684.750012465542]
["ID1320",176585.52201983347]
["Germany",176585.52201983347]
["Manager",176585.52201983347]
["EUR",176585.52201983347]
["14 | 175000 - 187500",176585.52201983347]
[25,176585.52201983347]
["1 or 2 hours a day",176585.52201983347]
[176585.52201983347,176585.52201983347]
["ID1322",54627.175876639136]
["France",54627.175876639136]
["Manager",54627.175876639136]
["EUR",54627.175876639136]
["04 | 50000 - 62500",54627.175876639136]
[7,54627.175876639136]
["All the 8 hours baby, all the 8!",54627.175876639136]
[54627.175876639136,54627.175876639136]
["ID1323",30489.586535798586]
["italy",30489.586535798586]
["Controller",30489.586535798586]
["EUR",30489.586535798586]
["02 | 25000 - 37500",30489.586535798586]
[10,30489.586535798586]
["4 to 6 hours a day",30489.586535798586]
[30489.586535798586,30489.586535798586]
["ID1324",5591.6858398569666]
["India",5591.6858398569666]
["Manager",5591.6858398569666]
["INR",5591.6858398569666]
["00 | 0 - 12500",5591.6858398569666]
[0.1,5591.6858398569666]
["1 or 2 hours a day",5591.6858398569666]
[5591.6858398569666,5591.6858398569666]
["ID1325",82000]
["South Africa",82000]
["Consultant",82000]
["USD",82000]
["06 | 75000 - 87500",82000]
[10,82000]
["4 to 6 hours a day",82000]
[82000,82000]
["ID1326",10000]
["India",10000]
["Reporting",10000]
["USD",10000]
["00 | 0 - 12500",10000]
[0.5,10000]
["1 or 2 hours a day",10000]
[10000,10000]
["ID1327",9000]
["India",9000]
["Analyst",9000]
["USD",9000]
["00 | 0 - 12500",9000]
[0.6,9000]
["All the 8 hours baby, all the 8!",9000]
[9000,9000]
["ID1328",9000]
["India",9000]
["Analyst",9000]
["USD",9000]
["00 | 0 - 12500",9000]
[1,9000]
["4 to 6 hours a day",9000]
[9000,9000]
["ID1329",11753.225013712095]
["India",11753.225013712095]
["Manager",11753.225013712095]
["INR",11753.225013712095]
["00 | 0 - 12500",11753.225013712095]
[7,11753.225013712095]
["All the 8 hours baby, all the 8!",11753.225013712095]
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["ID1330",3632.815004238284]
["India",3632.815004238284]
["Reporting",3632.815004238284]
["INR",3632.815004238284]
["00 | 0 - 12500",3632.815004238284]
[2,3632.815004238284]
["All the 8 hours baby, all the 8!",3632.815004238284]
[3632.815004238284,3632.815004238284]
["ID1331",95279.957924370581]
["Netherlands",95279.957924370581]
["Analyst",95279.957924370581]
["EUR",95279.957924370581]
["07 | 87500 - 100000",95279.957924370581]
[16,95279.957924370581]
["All the 8 hours baby, all the 8!",95279.957924370581]
[95279.957924370581,95279.957924370581]
["ID1332",70928.022243027779]
["UK",70928.022243027779]
["Consultant",70928.022243027779]
["GBP",70928.022243027779]
["05 | 62500 - 75000",70928.022243027779]
[4,70928.022243027779]
["2 to 3 hours per day",70928.022243027779]
[70928.022243027779,70928.022243027779]
["ID1333",52086.37699865592]
["Spain",52086.37699865592]
["Engineer",52086.37699865592]
["EUR",52086.37699865592]
["04 | 50000 - 62500",52086.37699865592]
[12,52086.37699865592]
["4 to 6 hours a day",52086.37699865592]
[52086.37699865592,52086.37699865592]
["ID1334",4897.177089046706]
["India",4897.177089046706]
["Manager",4897.177089046706]
["INR",4897.177089046706]
["00 | 0 - 12500",4897.177089046706]
[4,4897.177089046706]
["All the 8 hours baby, all the 8!",4897.177089046706]
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["ID1335",63807.047488395103]
["New Zealand",63807.047488395103]
["Accountant",63807.047488395103]
["NZD",63807.047488395103]
["05 | 62500 - 75000",63807.047488395103]
[15,63807.047488395103]
["All the 8 hours baby, all the 8!",63807.047488395103]
[63807.047488395103,63807.047488395103]
["ID1336",24000]
["Saudi Arabia",24000]
["Manager",24000]
["USD",24000]
["01 | 12500 - 25000",24000]
[5,24000]
["4 to 6 hours a day",24000]
[24000,24000]
["ID1337",60000]
["CEE",60000]
["Manager",60000]
["USD",60000]
["04 | 50000 - 62500",60000]
[20,60000]
["All the 8 hours baby, all the 8!",60000]
[60000,60000]
["ID1338",5342.3750062327708]
["India",5342.3750062327708]
["Analyst",5342.3750062327708]
["INR",5342.3750062327708]
["00 | 0 - 12500",5342.3750062327708]
[3,5342.3750062327708]
["All the 8 hours baby, all the 8!",5342.3750062327708]
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["ID1339",8903.9583437212841]
["India",8903.9583437212841]
["Manager",8903.9583437212841]
["INR",8903.9583437212841]
["00 | 0 - 12500",8903.9583437212841]
[5,8903.9583437212841]
["2 to 3 hours per day",8903.9583437212841]
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[5.5,152986.44846039536]
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["08 | 100000 - 112500",101990.96564026357]
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["CXO or Top Mgmt.",105000]
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["08 | 100000 - 112500",105000]
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["ID1359",75000]
["USA",75000]
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["1 or 2 hours a day",110000]
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["USA",125000]
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["USA",60000]
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["Japan",50694.322109187968]
["Analyst",50694.322109187968]
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["04 | 50000 - 62500",50694.322109187968]
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["06 | 75000 - 87500",78764.765217479682]
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["ID1371",80000]
["USA",80000]
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["USA",33000]
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["ID1374",100000]
["USA",100000]
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["USA",95000]
["Analyst",95000]
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["USA",103000]
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["08 | 100000 - 112500",103000]
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["USA",36000]
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["Sweden",100000]
["CXO or Top Mgmt.",100000]
["USD",100000]
["08 | 100000 - 112500",100000]
[20,100000]
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["Canada",83000]
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["00 | 0 - 12500",4451.9791718606421]
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["USA",62000]
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["USA",95000]
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["07 | 87500 - 100000",95000]
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["1 or 2 hours a day",130000]
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["USA",65000]
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["Saudi Arabia",57600]
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["06 | 75000 - 87500",80442]
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["ID1428",75000]
["USA",75000]
["Manager",75000]
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["06 | 75000 - 87500",75000]
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["1 or 2 hours a day",75000]
[75000,75000]
["ID1429",61000]
["USA",61000]
["Analyst",61000]
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["04 | 50000 - 62500",61000]
[12,61000]
["4 to 6 hours a day",61000]
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["ID1430",77000]
["USA",77000]
["Engineer",77000]
["USD",77000]
["06 | 75000 - 87500",77000]
[10,77000]
["4 to 6 hours a day",77000]
[77000,77000]
["ID1431",92000]
["USA",92000]
["Controller",92000]
["USD",92000]
["07 | 87500 - 100000",92000]
[9,92000]
["2 to 3 hours per day",92000]
[92000,92000]
["ID1432",72000]
["USA",72000]
["Analyst",72000]
["USD",72000]
["05 | 62500 - 75000",72000]
[10,72000]
["All the 8 hours baby, all the 8!",72000]
[72000,72000]
["ID1433",14000]
["India",14000]
["Consultant",14000]
["USD",14000]
["01 | 12500 - 25000",14000]
[3,14000]
["4 to 6 hours a day",14000]
[14000,14000]
["ID1434",111000]
["USA",111000]
["Manager",111000]
["USD",111000]
["08 | 100000 - 112500",111000]
[10,111000]
["2 to 3 hours per day",111000]
[111000,111000]
["ID1435",80000]
["USA",80000]
["Analyst",80000]
["USD",80000]
["06 | 75000 - 87500",80000]
[20,80000]
["4 to 6 hours a day",80000]
[80000,80000]
["ID1436",57875.729234188344]
["India",57875.729234188344]
["Analyst",57875.729234188344]
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["04 | 50000 - 62500",57875.729234188344]
[5.5,57875.729234188344]
["4 to 6 hours a day",57875.729234188344]
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["ID1437",25000]
["India",25000]
["Accountant",25000]
["USD",25000]
["02 | 25000 - 37500",25000]
[8,25000]
["2 to 3 hours per day",25000]
[25000,25000]
["ID1438",24000]
["USA",24000]
["Controller",24000]
["USD",24000]
["01 | 12500 - 25000",24000]
[2,24000]
["1 or 2 hours a day",24000]
[24000,24000]
["ID1439",61000]
["USA",61000]
["Manager",61000]
["USD",61000]
["04 | 50000 - 62500",61000]
[25,61000]
["2 to 3 hours per day",61000]
[61000,61000]
["ID1440",56095.031102144967]
["Australia",56095.031102144967]
["Analyst",56095.031102144967]
["AUD",56095.031102144967]
["04 | 50000 - 62500",56095.031102144967]
[11,56095.031102144967]
["2 to 3 hours per day",56095.031102144967]
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["ID1442",71393.675948184507]
["Australia",71393.675948184507]
["Accountant",71393.675948184507]
["AUD",71393.675948184507]
["05 | 62500 - 75000",71393.675948184507]
[5,71393.675948184507]
["2 to 3 hours per day",71393.675948184507]
[71393.675948184507,71393.675948184507]
["ID1443",96230]
["USA",96230]
["Manager",96230]
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["07 | 87500 - 100000",96230]
[18,96230]
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[96230,96230]
["ID1444",75000]
["USA",75000]
["Analyst",75000]
["USD",75000]
["06 | 75000 - 87500",75000]
[1.5,75000]
["2 to 3 hours per day",75000]
[75000,75000]
["ID1445",102000]
["USA",102000]
["Analyst",102000]
["USD",102000]
["08 | 100000 - 112500",102000]
[5,102000]
["4 to 6 hours a day",102000]
[102000,102000]
["ID1446",19008.034062397041]
["Malaysia",19008.034062397041]
["Manager",19008.034062397041]
["MYR",19008.034062397041]
["01 | 12500 - 25000",19008.034062397041]
[3,19008.034062397041]
["4 to 6 hours a day",19008.034062397041]
[19008.034062397041,19008.034062397041]
["ID1447",4356]
["India",4356]
["Analyst",4356]
["USD",4356]
["00 | 0 - 12500",4356]
[5,4356]
["4 to 6 hours a day",4356]
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["ID1448",5342.3750062327708]
["India",5342.3750062327708]
["Accountant",5342.3750062327708]
["INR",5342.3750062327708]
["00 | 0 - 12500",5342.3750062327708]
[4,5342.3750062327708]
["4 to 6 hours a day",5342.3750062327708]
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["ID1449",67000]
["USA",67000]
["Manager",67000]
["USD",67000]
["05 | 62500 - 75000",67000]
[20,67000]
["2 to 3 hours per day",67000]
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["ID1450",8547.8000099724322]
["India",8547.8000099724322]
["Analyst",8547.8000099724322]
["INR",8547.8000099724322]
["00 | 0 - 12500",8547.8000099724322]
[7,8547.8000099724322]
["4 to 6 hours a day",8547.8000099724322]
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["ID1451",16027.125018698311]
["India",16027.125018698311]
["Analyst",16027.125018698311]
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["01 | 12500 - 25000",16027.125018698311]
[4,16027.125018698311]
["4 to 6 hours a day",16027.125018698311]
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["ID1452",10684.750012465542]
["India",10684.750012465542]
["Consultant",10684.750012465542]
["INR",10684.750012465542]
["00 | 0 - 12500",10684.750012465542]
[36,10684.750012465542]
["2 to 3 hours per day",10684.750012465542]
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["ID1453",30000]
["UAE",30000]
["Accountant",30000]
["USD",30000]
["02 | 25000 - 37500",30000]
[8,30000]
["4 to 6 hours a day",30000]
[30000,30000]
["ID1454",8903.9583437212841]
["India",8903.9583437212841]
["Manager",8903.9583437212841]
["INR",8903.9583437212841]
["00 | 0 - 12500",8903.9583437212841]
[0,8903.9583437212841]
["2 to 3 hours per day",8903.9583437212841]
[8903.9583437212841,8903.9583437212841]
["ID1455",20000]
["India",20000]
["Manager",20000]
["USD",20000]
["01 | 12500 - 25000",20000]
[10,20000]
["Excel ?!? What Excel?",20000]
[20000,20000]
["ID1456",87712.230450626681]
["Australia",87712.230450626681]
["Analyst",87712.230450626681]
["AUD",87712.230450626681]
["07 | 87500 - 100000",87712.230450626681]
[10,87712.230450626681]
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["ID1457",17807.916687442568]
["India",17807.916687442568]
["Manager",17807.916687442568]
["INR",17807.916687442568]
["01 | 12500 - 25000",17807.916687442568]
[6,17807.916687442568]
["All the 8 hours baby, all the 8!",17807.916687442568]
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["ID1458",41000]
["Japan",41000]
["Analyst",41000]
["USD",41000]
["03 | 37500 - 50000",41000]
[2,41000]
["2 to 3 hours per day",41000]
[41000,41000]
["ID1459",60000]
["USA",60000]
["Manager",60000]
["USD",60000]
["04 | 50000 - 62500",60000]
[4,60000]
["2 to 3 hours per day",60000]
[60000,60000]
["ID1460",32187.34988380854]
["South Africa",32187.34988380854]
["Analyst",32187.34988380854]
["ZAR",32187.34988380854]
["02 | 25000 - 37500",32187.34988380854]
[2,32187.34988380854]
["All the 8 hours baby, all the 8!",32187.34988380854]
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["ID1461",39879.404680246938]
["New Zealand",39879.404680246938]
["Engineer",39879.404680246938]
["NZD",39879.404680246938]
["03 | 37500 - 50000",39879.404680246938]
[5,39879.404680246938]
["4 to 6 hours a day",39879.404680246938]
[39879.404680246938,39879.404680246938]
["ID1462",5698.5333399816218]
["India",5698.5333399816218]
["Analyst",5698.5333399816218]
["INR",5698.5333399816218]
["00 | 0 - 12500",5698.5333399816218]
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["2 to 3 hours per day",5698.5333399816218]
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["ID1463",7123.1666749770275]
["India",7123.1666749770275]
["Manager",7123.1666749770275]
["INR",7123.1666749770275]
["00 | 0 - 12500",7123.1666749770275]
[6,7123.1666749770275]
["4 to 6 hours a day",7123.1666749770275]
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["ID1464",4451.9791718606421]
["India",4451.9791718606421]
["Manager",4451.9791718606421]
["INR",4451.9791718606421]
["00 | 0 - 12500",4451.9791718606421]
[15,4451.9791718606421]
["2 to 3 hours per day",4451.9791718606421]
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["ID1465",6410.8500074793246]
["India",6410.8500074793246]
["Analyst",6410.8500074793246]
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["00 | 0 - 12500",6410.8500074793246]
[6,6410.8500074793246]
["2 to 3 hours per day",6410.8500074793246]
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["ID1466",20479.104190558952]
["India",20479.104190558952]
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["INR",20479.104190558952]
["01 | 12500 - 25000",20479.104190558952]
[12,20479.104190558952]
["All the 8 hours baby, all the 8!",20479.104190558952]
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["ID1467",11040.908346214392]
["India",11040.908346214392]
["Analyst",11040.908346214392]
["INR",11040.908346214392]
["00 | 0 - 12500",11040.908346214392]
[5,11040.908346214392]
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["ID1468",17807.916687442568]
["India",17807.916687442568]
["Specialist",17807.916687442568]
["INR",17807.916687442568]
["01 | 12500 - 25000",17807.916687442568]
[7,17807.916687442568]
["2 to 3 hours per day",17807.916687442568]
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["ID1469",3561.5833374885137]
["India",3561.5833374885137]
["Analyst",3561.5833374885137]
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["00 | 0 - 12500",3561.5833374885137]
[11,3561.5833374885137]
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["ID1470",26795.030625143831]
["UK",26795.030625143831]
["Analyst",26795.030625143831]
["GBP",26795.030625143831]
["02 | 25000 - 37500",26795.030625143831]
[5,26795.030625143831]
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["ID1471",20400]
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["01 | 12500 - 25000",20400]
[10,20400]
["1 or 2 hours a day",20400]
[20400,20400]
["ID1472",39404.456801682099]
["UK",39404.456801682099]
["Accountant",39404.456801682099]
["GBP",39404.456801682099]
["03 | 37500 - 50000",39404.456801682099]
[35,39404.456801682099]
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["ID1473",149907.13380100971]
["Europe",149907.13380100971]
["Analyst",149907.13380100971]
["EUR",149907.13380100971]
["11 | 137500 - 150000",149907.13380100971]
[7,149907.13380100971]
["4 to 6 hours a day",149907.13380100971]
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["ID1474",4095.8208381117906]
["India",4095.8208381117906]
["Analyst",4095.8208381117906]
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["00 | 0 - 12500",4095.8208381117906]
[1.6,4095.8208381117906]
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["ID1475",127488.70705032947]
["Australia",127488.70705032947]
["Accountant",127488.70705032947]
["AUD",127488.70705032947]
["10 | 125000 - 137500",127488.70705032947]
[7,127488.70705032947]
["4 to 6 hours a day",127488.70705032947]
[127488.70705032947,127488.70705032947]
["ID1476",58318.59606648951]
["UK",58318.59606648951]
["Manager",58318.59606648951]
["GBP",58318.59606648951]
["04 | 50000 - 62500",58318.59606648951]
[20,58318.59606648951]
["All the 8 hours baby, all the 8!",58318.59606648951]
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["ID1477",9509.8988293070688]
["South Africa",9509.8988293070688]
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["00 | 0 - 12500",9509.8988293070688]
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["ID1478",12821.700014958649]
["India",12821.700014958649]
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["01 | 12500 - 25000",12821.700014958649]
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["ID1479",4000]
["India",4000]
["Analyst",4000]
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["00 | 0 - 12500",4000]
[6,4000]
["All the 8 hours baby, all the 8!",4000]
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["ID1480",42000]
["USA",42000]
["Analyst",42000]
["USD",42000]
["03 | 37500 - 50000",42000]
[2,42000]
["All the 8 hours baby, all the 8!",42000]
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["ID1481",3200]
["India",3200]
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["00 | 0 - 12500",3200]
[19,3200]
["All the 8 hours baby, all the 8!",3200]
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["ID1482",60000]
["Turkey",60000]
["Analyst",60000]
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["04 | 50000 - 62500",60000]
[10,60000]
["2 to 3 hours per day",60000]
[60000,60000]
["ID1483",85000]
["USA",85000]
["Analyst",85000]
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["06 | 75000 - 87500",85000]
[9,85000]
["4 to 6 hours a day",85000]
[85000,85000]
["ID1484",109000]
["USA",109000]
["Manager",109000]
["USD",109000]
["08 | 100000 - 112500",109000]
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["italy",76223.966339496474]
["Analyst",76223.966339496474]
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["06 | 75000 - 87500",76223.966339496474]
[14,76223.966339496474]
["All the 8 hours baby, all the 8!",76223.966339496474]
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["ID1486",77000]
["USA",77000]
["Engineer",77000]
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["06 | 75000 - 87500",77000]
[13,77000]
["2 to 3 hours per day",77000]
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["ID1487",25000]
["India",25000]
["Analyst",25000]
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["02 | 25000 - 37500",25000]
[4,25000]
["All the 8 hours baby, all the 8!",25000]
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["ID1488",64000]
["USA",64000]
["Manager",64000]
["USD",64000]
["05 | 62500 - 75000",64000]
[12,64000]
["2 to 3 hours per day",64000]
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["ID1490",76000]
["USA",76000]
["Analyst",76000]
["USD",76000]
["06 | 75000 - 87500",76000]
[10,76000]
["All the 8 hours baby, all the 8!",76000]
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["ID1491",15761.782720672842]
["UK",15761.782720672842]
["Analyst",15761.782720672842]
["GBP",15761.782720672842]
["01 | 12500 - 25000",15761.782720672842]
[8,15761.782720672842]
["2 to 3 hours per day",15761.782720672842]
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["ID1492",168285.09330643489]
["Australia",168285.09330643489]
["Engineer",168285.09330643489]
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["13 | 162500 - 175000",168285.09330643489]
[17,168285.09330643489]
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["ID1493",50000]
["Kuwait",50000]
["Analyst",50000]
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["04 | 50000 - 62500",50000]
[13,50000]
["4 to 6 hours a day",50000]
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["ID1494",7200]
["Colombia",7200]
["Controller",7200]
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["00 | 0 - 12500",7200]
[8,7200]
["4 to 6 hours a day",7200]
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["ID1495",53356.776437647524]
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["Consultant",53356.776437647524]
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["04 | 50000 - 62500",53356.776437647524]
[7,53356.776437647524]
["All the 8 hours baby, all the 8!",53356.776437647524]
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["ID1496",45000]
["USA",45000]
["Specialist",45000]
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["03 | 37500 - 50000",45000]
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["2 to 3 hours per day",45000]
[45000,45000]
["ID1497",5000]
["India",5000]
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["00 | 0 - 12500",5000]
[4,5000]
["All the 8 hours baby, all the 8!",5000]
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["Analyst",75473.31457379504]
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["06 | 75000 - 87500",75473.31457379504]
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["ID1499",15000]
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["01 | 12500 - 25000",15000]
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["2 to 3 hours per day",15000]
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["ID1500",42558.381206218859]
["Germany",42558.381206218859]
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["03 | 37500 - 50000",42558.381206218859]
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["ID1501",61000]
["USA",61000]
["Analyst",61000]
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["04 | 50000 - 62500",61000]
[5,61000]
["4 to 6 hours a day",61000]
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["ID1502",66000]
["USA",66000]
["Analyst",66000]
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["05 | 62500 - 75000",66000]
[2,66000]
["4 to 6 hours a day",66000]
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["00 | 0 - 12500",4950.6008391090336]
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["All the 8 hours baby, all the 8!",4950.6008391090336]
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["ID1504",55000]
["USA",55000]
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["04 | 50000 - 62500",55000]
[14,55000]
["2 to 3 hours per day",55000]
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["ID1505",32000]
["USA",32000]
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["USD",32000]
["02 | 25000 - 37500",32000]
[10,32000]
["4 to 6 hours a day",32000]
[32000,32000]
["ID1506",18000]
["India",18000]
["Analyst",18000]
["USD",18000]
["01 | 12500 - 25000",18000]
[6,18000]
["All the 8 hours baby, all the 8!",18000]
[18000,18000]
["ID1507",11575.14584683767]
["India",11575.14584683767]
["Analyst",11575.14584683767]
["INR",11575.14584683767]
["00 | 0 - 12500",11575.14584683767]
[21,11575.14584683767]
["4 to 6 hours a day",11575.14584683767]
[11575.14584683767,11575.14584683767]
["ID1508",63519.971949580387]
["italy",63519.971949580387]
["Accountant",63519.971949580387]
["EUR",63519.971949580387]
["05 | 62500 - 75000",63519.971949580387]
[15,63519.971949580387]
["All the 8 hours baby, all the 8!",63519.971949580387]
[63519.971949580387,63519.971949580387]
["ID1509",71231.666749770273]
["India",71231.666749770273]
["Specialist",71231.666749770273]
["INR",71231.666749770273]
["05 | 62500 - 75000",71231.666749770273]
[5,71231.666749770273]
["All the 8 hours baby, all the 8!",71231.666749770273]
[71231.666749770273,71231.666749770273]
["ID1510",10000]
["Brazil",10000]
["Analyst",10000]
["USD",10000]
["00 | 0 - 12500",10000]
[1,10000]
["4 to 6 hours a day",10000]
[10000,10000]
["ID1511",74300]
["USA",74300]
["Analyst",74300]
["USD",74300]
["05 | 62500 - 75000",74300]
[3,74300]
["4 to 6 hours a day",74300]
[74300,74300]
["ID1512",26711.875031163851]
["India",26711.875031163851]
["Consultant",26711.875031163851]
["INR",26711.875031163851]
["02 | 25000 - 37500",26711.875031163851]
[10,26711.875031163851]
["4 to 6 hours a day",26711.875031163851]
[26711.875031163851,26711.875031163851]
["ID1513",9545.0433444692171]
["India",9545.0433444692171]
["Manager",9545.0433444692171]
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["00 | 0 - 12500",9545.0433444692171]
[4,9545.0433444692171]
["4 to 6 hours a day",9545.0433444692171]
[9545.0433444692171,9545.0433444692171]
["ID1514",95000]
["USA",95000]
["Analyst",95000]
["USD",95000]
["07 | 87500 - 100000",95000]
[15,95000]
["4 to 6 hours a day",95000]
[95000,95000]
["ID1515",64300]
["USA",64300]
["Accountant",64300]
["USD",64300]
["05 | 62500 - 75000",64300]
[15,64300]
["4 to 6 hours a day",64300]
[64300,64300]
["ID1519",89000]
["USA",89000]
["Manager",89000]
["USD",89000]
["07 | 87500 - 100000",89000]
[10,89000]
["2 to 3 hours per day",89000]
[89000,89000]
["ID1520",75000]
["USA",75000]
["Analyst",75000]
["USD",75000]
["06 | 75000 - 87500",75000]
[1.5,75000]
["All the 8 hours baby, all the 8!",75000]
[75000,75000]
["ID1521",45000]
["USA",45000]
["Analyst",45000]
["USD",45000]
["03 | 37500 - 50000",45000]
[5,45000]
["All the 8 hours baby, all the 8!",45000]
[45000,45000]
["ID1522",127500]
["USA",127500]
["CXO or Top Mgmt.",127500]
["USD",127500]
["10 | 125000 - 137500",127500]
[22,127500]
["All the 8 hours baby, all the 8!",127500]
[127500,127500]
["ID1523",170000]
["USA",170000]
["CXO or Top Mgmt.",170000]
["USD",170000]
["13 | 162500 - 175000",170000]
[18,170000]
["2 to 3 hours per day",170000]
[170000,170000]
["ID1524",9600]
["Bolivia",9600]
["Analyst",9600]
["USD",9600]
["00 | 0 - 12500",9600]
[2,9600]
["All the 8 hours baby, all the 8!",9600]
[9600,9600]
["ID1525",62000]
["USA",62000]
["Analyst",62000]
["USD",62000]
["04 | 50000 - 62500",62000]
[27,62000]
["All the 8 hours baby, all the 8!",62000]
[62000,62000]
["ID1526",22000]
["USA",22000]
["Manager",22000]
["USD",22000]
["01 | 12500 - 25000",22000]
[3,22000]
["4 to 6 hours a day",22000]
[22000,22000]
["ID1527",45000]
["USA",45000]
["Analyst",45000]
["USD",45000]
["03 | 37500 - 50000",45000]
[8,45000]
["4 to 6 hours a day",45000]
[45000,45000]
["ID1528",145000]
["USA",145000]
["Analyst",145000]
["USD",145000]
["11 | 137500 - 150000",145000]
[6,145000]
["4 to 6 hours a day",145000]
[145000,145000]
["ID1529",89000]
["USA",89000]
["Analyst",89000]
["USD",89000]
["07 | 87500 - 100000",89000]
[14,89000]
["All the 8 hours baby, all the 8!",89000]
[89000,89000]
["ID1530",38000]
["USA",38000]
["Accountant",38000]
["USD",38000]
["03 | 37500 - 50000",38000]
[11,38000]
["4 to 6 hours a day",38000]
[38000,38000]
["ID1531",49168.076151516347]
["Canada",49168.076151516347]
["Analyst",49168.076151516347]
["CAD",49168.076151516347]
["03 | 37500 - 50000",49168.076151516347]
[3,49168.076151516347]
["4 to 6 hours a day",49168.076151516347]
[49168.076151516347,49168.076151516347]
["ID1532",8903.9583437212841]
["India",8903.9583437212841]
["Analyst",8903.9583437212841]
["INR",8903.9583437212841]
["00 | 0 - 12500",8903.9583437212841]
[8,8903.9583437212841]
["4 to 6 hours a day",8903.9583437212841]
[8903.9583437212841,8903.9583437212841]
["ID1533",10000]
["Vietnam",10000]
["Manager",10000]
["USD",10000]
["00 | 0 - 12500",10000]
[8,10000]
["2 to 3 hours per day",10000]
[10000,10000]
["ID1534",105000]
["USA",105000]
["Manager",105000]
["USD",105000]
["08 | 100000 - 112500",105000]
[30,105000]
["1 or 2 hours a day",105000]
[105000,105000]
["ID1535",12000]
["MYS",12000]
["Analyst",12000]
["USD",12000]
["00 | 0 - 12500",12000]
[0,12000]
["2 to 3 hours per day",12000]
[12000,12000]
["ID1536",3561.5833374885137]
["India",3561.5833374885137]
["Accountant",3561.5833374885137]
["INR",3561.5833374885137]
["00 | 0 - 12500",3561.5833374885137]
[3,3561.5833374885137]
["All the 8 hours baby, all the 8!",3561.5833374885137]
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["ID1537",86692.320794224041]
["Australia",86692.320794224041]
["Analyst",86692.320794224041]
["AUD",86692.320794224041]
["06 | 75000 - 87500",86692.320794224041]
[5,86692.320794224041]
["1 or 2 hours a day",86692.320794224041]
[86692.320794224041,86692.320794224041]
["ID1539",8000]
["India",8000]
["CXO or Top Mgmt.",8000]
["USD",8000]
["00 | 0 - 12500",8000]
[18,8000]
["4 to 6 hours a day",8000]
[8000,8000]
["ID1540",6767.0083412281756]
["India",6767.0083412281756]
["Analyst",6767.0083412281756]
["INR",6767.0083412281756]
["00 | 0 - 12500",6767.0083412281756]
[6,6767.0083412281756]
["2 to 3 hours per day",6767.0083412281756]
[6767.0083412281756,6767.0083412281756]
["ID1541",48073.437298052166]
["UK",48073.437298052166]
["Consultant",48073.437298052166]
["GBP",48073.437298052166]
["03 | 37500 - 50000",48073.437298052166]
[14,48073.437298052166]
["4 to 6 hours a day",48073.437298052166]
[48073.437298052166,48073.437298052166]
["ID1542",76223.966339496474]
["Netherlands",76223.966339496474]
["Manager",76223.966339496474]
["EUR",76223.966339496474]
["06 | 75000 - 87500",76223.966339496474]
[15,76223.966339496474]
["2 to 3 hours per day",76223.966339496474]
[76223.966339496474,76223.966339496474]
["ID1543",85333.333333333328]
["Saudi Arabia",85333.333333333328]
["Manager",85333.333333333328]
["SAR",85333.333333333328]
["06 | 75000 - 87500",85333.333333333328]
[15,85333.333333333328]
["2 to 3 hours per day",85333.333333333328]
[85333.333333333328,85333.333333333328]
["ID1544",76223.981237173866]
["UK",76223.981237173866]
["Manager",76223.981237173866]
["GBP",76223.981237173866]
["06 | 75000 - 87500",76223.981237173866]
[8,76223.981237173866]
["All the 8 hours baby, all the 8!",76223.981237173866]
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["ID1545",30000]
["Pakistan",30000]
["Manager",30000]
["USD",30000]
["02 | 25000 - 37500",30000]
[5,30000]
["4 to 6 hours a day",30000]
[30000,30000]
["ID1546",34000]
["India",34000]
["Analyst",34000]
["USD",34000]
["02 | 25000 - 37500",34000]
[4,34000]
["All the 8 hours baby, all the 8!",34000]
[34000,34000]
["ID1547",3205.4250037396623]
["India",3205.4250037396623]
["Manager",3205.4250037396623]
["INR",3205.4250037396623]
["00 | 0 - 12500",3205.4250037396623]
[5,3205.4250037396623]
["4 to 6 hours a day",3205.4250037396623]
[3205.4250037396623,3205.4250037396623]
["ID1548",45000]
["Germany",45000]
["Manager",45000]
["USD",45000]
["03 | 37500 - 50000",45000]
[5,45000]
["2 to 3 hours per day",45000]
[45000,45000]
["ID1549",24864]
["Libya",24864]
["Manager",24864]
["USD",24864]
["01 | 12500 - 25000",24864]
[8,24864]
["All the 8 hours baby, all the 8!",24864]
[24864,24864]
["ID1550",47285.348162018527]
["UK",47285.348162018527]
["Analyst",47285.348162018527]
["GBP",47285.348162018527]
["03 | 37500 - 50000",47285.348162018527]
[7,47285.348162018527]
["4 to 6 hours a day",47285.348162018527]
[47285.348162018527,47285.348162018527]
["ID1551",17807.916687442568]
["India",17807.916687442568]
["Analyst",17807.916687442568]
["INR",17807.916687442568]
["01 | 12500 - 25000",17807.916687442568]
[10,17807.916687442568]
["All the 8 hours baby, all the 8!",17807.916687442568]
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["ID1552",55166.239522354947]
["UK",55166.239522354947]
["Analyst",55166.239522354947]
["GBP",55166.239522354947]
["04 | 50000 - 62500",55166.239522354947]
[3,55166.239522354947]
["4 to 6 hours a day",55166.239522354947]
[55166.239522354947,55166.239522354947]
["ID1553",69871.969144538423]
["Netherlands",69871.969144538423]
["Manager",69871.969144538423]
["EUR",69871.969144538423]
["05 | 62500 - 75000",69871.969144538423]
[5,69871.969144538423]
["1 or 2 hours a day",69871.969144538423]
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["ID1554",70970]
["USA",70970]
["Analyst",70970]
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["05 | 62500 - 75000",70970]
[17,70970]
["4 to 6 hours a day",70970]
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["ID1555",76223.966339496474]
["Netherlands",76223.966339496474]
["Engineer",76223.966339496474]
["EUR",76223.966339496474]
["06 | 75000 - 87500",76223.966339496474]
[7,76223.966339496474]
["4 to 6 hours a day",76223.966339496474]
[76223.966339496474,76223.966339496474]
["ID1556",110000]
["Norway",110000]
["Controller",110000]
["USD",110000]
["08 | 100000 - 112500",110000]
[5,110000]
["All the 8 hours baby, all the 8!",110000]
[110000,110000]
["ID1557",14400]
["Bulgaria",14400]
["Analyst",14400]
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["01 | 12500 - 25000",14400]
[15,14400]
["All the 8 hours baby, all the 8!",14400]
[14400,14400]
["ID1558",125000]
["USA",125000]
["Consultant",125000]
["USD",125000]
["10 | 125000 - 137500",125000]
[8,125000]
["All the 8 hours baby, all the 8!",125000]
[125000,125000]
["ID1559",72768.752704244194]
["Canada",72768.752704244194]
["Analyst",72768.752704244194]
["CAD",72768.752704244194]
["05 | 62500 - 75000",72768.752704244194]
[10,72768.752704244194]
["4 to 6 hours a day",72768.752704244194]
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["ID1560",59000]
["USA",59000]
["Manager",59000]
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["04 | 50000 - 62500",59000]
[15,59000]
["4 to 6 hours a day",59000]
[59000,59000]
["ID1561",71500]
["USA",71500]
["Analyst",71500]
["USD",71500]
["05 | 62500 - 75000",71500]
[5,71500]
["4 to 6 hours a day",71500]
[71500,71500]
["ID1562",39404.456801682099]
["UK",39404.456801682099]
["Reporting",39404.456801682099]
["GBP",39404.456801682099]
["03 | 37500 - 50000",39404.456801682099]
[2,39404.456801682099]
["4 to 6 hours a day",39404.456801682099]
[39404.456801682099,39404.456801682099]
["ID1563",88927.960729412545]
["Germany",88927.960729412545]
["Specialist",88927.960729412545]
["EUR",88927.960729412545]
["07 | 87500 - 100000",88927.960729412545]
[5,88927.960729412545]
["1 or 2 hours a day",88927.960729412545]
[88927.960729412545,88927.960729412545]
["ID1564",90000]
["USA",90000]
["Manager",90000]
["USD",90000]
["07 | 87500 - 100000",90000]
[25,90000]
["4 to 6 hours a day",90000]
[90000,90000]
["ID1565",12465.541681209797]
["India",12465.541681209797]
["Manager",12465.541681209797]
["INR",12465.541681209797]
["00 | 0 - 12500",12465.541681209797]
[30,12465.541681209797]
["All the 8 hours baby, all the 8!",12465.541681209797]
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["ID1566",40000]
["USA",40000]
["Analyst",40000]
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["03 | 37500 - 50000",40000]
[8,40000]
["4 to 6 hours a day",40000]
[40000,40000]
["ID1567",30000]
["India",30000]
["Analyst",30000]
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["02 | 25000 - 37500",30000]
[4,30000]
["All the 8 hours baby, all the 8!",30000]
[30000,30000]
["ID1569",46325]
["USA",46325]
["Controller",46325]
["USD",46325]
["03 | 37500 - 50000",46325]
[1,46325]
["4 to 6 hours a day",46325]
[46325,46325]
["ID1570",15000]
["USA",15000]
["Analyst",15000]
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["01 | 12500 - 25000",15000]
[8,15000]
["All the 8 hours baby, all the 8!",15000]
[15000,15000]
["ID1571",31200]
["USA",31200]
["Analyst",31200]
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["02 | 25000 - 37500",31200]
[15,31200]
["4 to 6 hours a day",31200]
[31200,31200]
["ID1572",8903.9583437212841]
["India",8903.9583437212841]
["Analyst",8903.9583437212841]
["INR",8903.9583437212841]
["00 | 0 - 12500",8903.9583437212841]
[9,8903.9583437212841]
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["ID1573",15840]
["Peru",15840]
["Analyst",15840]
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["01 | 12500 - 25000",15840]
[8,15840]
["All the 8 hours baby, all the 8!",15840]
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["ID1574",15136.729184326183]
["India",15136.729184326183]
["Analyst",15136.729184326183]
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["01 | 12500 - 25000",15136.729184326183]
[5,15136.729184326183]
["4 to 6 hours a day",15136.729184326183]
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["ID1575",41000]
["USA",41000]
["Consultant",41000]
["USD",41000]
["03 | 37500 - 50000",41000]
[10,41000]
["4 to 6 hours a day",41000]
[41000,41000]
["ID1576",11000]
["Mexico",11000]
["Manager",11000]
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["00 | 0 - 12500",11000]
[2,11000]
["4 to 6 hours a day",11000]
[11000,11000]
["ID1577",55166.239522354947]
["UK",55166.239522354947]
["CXO or Top Mgmt.",55166.239522354947]
["GBP",55166.239522354947]
["04 | 50000 - 62500",55166.239522354947]
[30,55166.239522354947]
["2 to 3 hours per day",55166.239522354947]
[55166.239522354947,55166.239522354947]
["ID1578",5689.2125418690484]
["Philippines",5689.2125418690484]
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["00 | 0 - 12500",5689.2125418690484]
[15,5689.2125418690484]
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["ID1579",17728]
["Mexico",17728]
["Analyst",17728]
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["01 | 12500 - 25000",17728]
[3,17728]
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["ID1580",13745.704467353951]
["Morocco",13745.704467353951]
["Controller",13745.704467353951]
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["01 | 12500 - 25000",13745.704467353951]
[8,13745.704467353951]
["All the 8 hours baby, all the 8!",13745.704467353951]
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["ID1581",50000]
["USA",50000]
["Accountant",50000]
["USD",50000]
["04 | 50000 - 62500",50000]
[15,50000]
["4 to 6 hours a day",50000]
[50000,50000]
["ID1582",78668.921842426149]
["Canada",78668.921842426149]
["Analyst",78668.921842426149]
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["06 | 75000 - 87500",78668.921842426149]
[7,78668.921842426149]
["4 to 6 hours a day",78668.921842426149]
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["ID1583",85000]
["USA",85000]
["Reporting",85000]
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["06 | 75000 - 87500",85000]
[10,85000]
["4 to 6 hours a day",85000]
[85000,85000]
["ID1584",101990.96564026357]
["Australia",101990.96564026357]
["Manager",101990.96564026357]
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["08 | 100000 - 112500",101990.96564026357]
[20,101990.96564026357]
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["ID1585",100614.72928405051]
["India",100614.72928405051]
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["08 | 100000 - 112500",100614.72928405051]
[6,100614.72928405051]
["2 to 3 hours per day",100614.72928405051]
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["ID1586",86692.320794224041]
["Australia",86692.320794224041]
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["06 | 75000 - 87500",86692.320794224041]
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["ID1587",122389.15876831629]
["Australia",122389.15876831629]
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["09 | 112500 - 125000",122389.15876831629]
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["2 to 3 hours per day",122389.15876831629]
[122389.15876831629,122389.15876831629]
["ID1588",6410.8500074793246]
["India",6410.8500074793246]
["Manager",6410.8500074793246]
["INR",6410.8500074793246]
["00 | 0 - 12500",6410.8500074793246]
[8,6410.8500074793246]
["2 to 3 hours per day",6410.8500074793246]
[6410.8500074793246,6410.8500074793246]
["ID1589",44000]
["USA",44000]
["Analyst",44000]
["USD",44000]
["03 | 37500 - 50000",44000]
[3.5,44000]
["4 to 6 hours a day",44000]
[44000,44000]
["ID1590",4451.9791718606421]
["India",4451.9791718606421]
["Engineer",4451.9791718606421]
["INR",4451.9791718606421]
["00 | 0 - 12500",4451.9791718606421]
[2.5,4451.9791718606421]
["4 to 6 hours a day",4451.9791718606421]
[4451.9791718606421,4451.9791718606421]
["ID1591",4500]
["Pakistan",4500]
["Analyst",4500]
["USD",4500]
["00 | 0 - 12500",4500]
[6,4500]
["4 to 6 hours a day",4500]
[4500,4500]
["ID1592",30273.458368652366]
["India",30273.458368652366]
["CXO or Top Mgmt.",30273.458368652366]
["INR",30273.458368652366]
["02 | 25000 - 37500",30273.458368652366]
[6,30273.458368652366]
["4 to 6 hours a day",30273.458368652366]
[30273.458368652366,30273.458368652366]
["ID1593",52000]
["USA",52000]
["Analyst",52000]
["USD",52000]
["04 | 50000 - 62500",52000]
[5,52000]
["All the 8 hours baby, all the 8!",52000]
[52000,52000]
["ID1594",75000]
["Germany",75000]
["Consultant",75000]
["USD",75000]
["06 | 75000 - 87500",75000]
[9,75000]
["2 to 3 hours per day",75000]
[75000,75000]
["ID1595",17807.916687442568]
["India",17807.916687442568]
["Analyst",17807.916687442568]
["INR",17807.916687442568]
["01 | 12500 - 25000",17807.916687442568]
[4,17807.916687442568]
["All the 8 hours baby, all the 8!",17807.916687442568]
[17807.916687442568,17807.916687442568]
["ID1596",177600]
["Lesotho",177600]
["Accountant",177600]
["USD",177600]
["14 | 175000 - 187500",177600]
[6,177600]
["4 to 6 hours a day",177600]
[177600,177600]
["ID1597",11575.14584683767]
["India",11575.14584683767]
["Analyst",11575.14584683767]
["INR",11575.14584683767]
["00 | 0 - 12500",11575.14584683767]
[5,11575.14584683767]
["4 to 6 hours a day",11575.14584683767]
[11575.14584683767,11575.14584683767]
["ID1598",26678.388218823762]
["Portugal",26678.388218823762]
["Manager",26678.388218823762]
["EUR",26678.388218823762]
["02 | 25000 - 37500",26678.388218823762]
[10,26678.388218823762]
["4 to 6 hours a day",26678.388218823762]
[26678.388218823762,26678.388218823762]
["ID1600",126094.26176538273]
["UK",126094.26176538273]
["Consultant",126094.26176538273]
["GBP",126094.26176538273]
["10 | 125000 - 137500",126094.26176538273]
[12,126094.26176538273]
["4 to 6 hours a day",126094.26176538273]
[126094.26176538273,126094.26176538273]
["ID1601",6000]
["India",6000]
["Analyst",6000]
["USD",6000]
["00 | 0 - 12500",6000]
[2,6000]
["4 to 6 hours a day",6000]
[6000,6000]
["ID1602",10000]
["India",10000]
["Reporting",10000]
["USD",10000]
["00 | 0 - 12500",10000]
[6,10000]
["All the 8 hours baby, all the 8!",10000]
[10000,10000]
["ID1603",50000]
["USA",50000]
["Analyst",50000]
["USD",50000]
["04 | 50000 - 62500",50000]
[2,50000]
["All the 8 hours baby, all the 8!",50000]
[50000,50000]
["ID1604",10000]
["India",10000]
["Manager",10000]
["USD",10000]
["00 | 0 - 12500",10000]
[12,10000]
["All the 8 hours baby, all the 8!",10000]
[10000,10000]
["ID1605",50000]
["USA",50000]
["Analyst",50000]
["USD",50000]
["04 | 50000 - 62500",50000]
[12,50000]
["All the 8 hours baby, all the 8!",50000]
[50000,50000]
["ID1606",20000]
["India",20000]
["Manager",20000]
["USD",20000]
["01 | 12500 - 25000",20000]
[1,20000]
["4 to 6 hours a day",20000]
[20000,20000]
["ID1607",31523.565441345683]
["UK",31523.565441345683]
["Analyst",31523.565441345683]
["GBP",31523.565441345683]
["02 | 25000 - 37500",31523.565441345683]
[3,31523.565441345683]
["All the 8 hours baby, all the 8!",31523.565441345683]
[31523.565441345683,31523.565441345683]
["ID1608",63519.971949580387]
["Netherlands",63519.971949580387]
["Controller",63519.971949580387]
["EUR",63519.971949580387]
["05 | 62500 - 75000",63519.971949580387]
[10,63519.971949580387]
["4 to 6 hours a day",63519.971949580387]
[63519.971949580387,63519.971949580387]
["ID1609",35063.024516168378]
["Hungary",35063.024516168378]
["Controller",35063.024516168378]
["EUR",35063.024516168378]
["02 | 25000 - 37500",35063.024516168378]
[15,35063.024516168378]
["All the 8 hours baby, all the 8!",35063.024516168378]
[35063.024516168378,35063.024516168378]
["ID1610",55000]
["USA",55000]
["Analyst",55000]
["USD",55000]
["04 | 50000 - 62500",55000]
[2,55000]
["4 to 6 hours a day",55000]
[55000,55000]
["ID1611",38000]
["USA",38000]
["Analyst",38000]
["USD",38000]
["03 | 37500 - 50000",38000]
[1,38000]
["All the 8 hours baby, all the 8!",38000]
[38000,38000]
["ID1612",32054.250037396621]
["India",32054.250037396621]
["Analyst",32054.250037396621]
["INR",32054.250037396621]
["02 | 25000 - 37500",32054.250037396621]
[1,32054.250037396621]
["All the 8 hours baby, all the 8!",32054.250037396621]
[32054.250037396621,32054.250037396621]
["ID1613",35500]
["USA",35500]
["Analyst",35500]
["USD",35500]
["02 | 25000 - 37500",35500]
[20,35500]
["4 to 6 hours a day",35500]
[35500,35500]
["ID1614",62000]
["USA",62000]
["Analyst",62000]
["USD",62000]
["04 | 50000 - 62500",62000]
[5,62000]
["2 to 3 hours per day",62000]
[62000,62000]
["ID1615",33887.832849446611]
["UK",33887.832849446611]
["Analyst",33887.832849446611]
["GBP",33887.832849446611]
["02 | 25000 - 37500",33887.832849446611]
[1,33887.832849446611]
["All the 8 hours baby, all the 8!",33887.832849446611]
[33887.832849446611,33887.832849446611]
["ID1616",60000]
["USA",60000]
["Analyst",60000]
["USD",60000]
["04 | 50000 - 62500",60000]
[1,60000]
["2 to 3 hours per day",60000]
[60000,60000]
["ID1617",32884]
["USA",32884]
["Analyst",32884]
["USD",32884]
["02 | 25000 - 37500",32884]
[10,32884]
["All the 8 hours baby, all the 8!",32884]
[32884,32884]
["ID1618",42000]
["USA",42000]
["Analyst",42000]
["USD",42000]
["03 | 37500 - 50000",42000]
[2,42000]
["4 to 6 hours a day",42000]
[42000,42000]
["ID1619",68000]
["USA",68000]
["Analyst",68000]
["USD",68000]
["05 | 62500 - 75000",68000]
[12,68000]
["4 to 6 hours a day",68000]
[68000,68000]
["ID1620",85000]
["USA",85000]
["Accountant",85000]
["USD",85000]
["06 | 75000 - 87500",85000]
[8,85000]
["2 to 3 hours per day",85000]
[85000,85000]
["ID1621",13000]
["Brazil",13000]
["Analyst",13000]
["USD",13000]
["01 | 12500 - 25000",13000]
[4,13000]
["All the 8 hours baby, all the 8!",13000]
[13000,13000]
["ID1623",15000]
["India",15000]
["Analyst",15000]
["USD",15000]
["01 | 12500 - 25000",15000]
[5,15000]
["4 to 6 hours a day",15000]
[15000,15000]
["ID1624",50000]
["India",50000]
["CXO or Top Mgmt.",50000]
["USD",50000]
["04 | 50000 - 62500",50000]
[8,50000]
["1 or 2 hours a day",50000]
[50000,50000]
["ID1625",7000]
["India",7000]
["Reporting",7000]
["USD",7000]
["00 | 0 - 12500",7000]
[1,7000]
["4 to 6 hours a day",7000]
[7000,7000]
["ID1626",140000]
["USA",140000]
["Manager",140000]
["USD",140000]
["11 | 137500 - 150000",140000]
[12,140000]
["4 to 6 hours a day",140000]
[140000,140000]
["ID1627",7123.1666749770275]
["India",7123.1666749770275]
["Analyst",7123.1666749770275]
["INR",7123.1666749770275]
["00 | 0 - 12500",7123.1666749770275]
[2.5,7123.1666749770275]
["1 or 2 hours a day",7123.1666749770275]
[7123.1666749770275,7123.1666749770275]
["ID1628",58318.59606648951]
["UK",58318.59606648951]
["Analyst",58318.59606648951]
["GBP",58318.59606648951]
["04 | 50000 - 62500",58318.59606648951]
[9,58318.59606648951]
["4 to 6 hours a day",58318.59606648951]
[58318.59606648951,58318.59606648951]
["ID1629",12109.383347460946]
["India",12109.383347460946]
["Manager",12109.383347460946]
["INR",12109.383347460946]
["00 | 0 - 12500",12109.383347460946]
[2,12109.383347460946]
["1 or 2 hours a day",12109.383347460946]
[12109.383347460946,12109.383347460946]
["ID1630",55000]
["USA",55000]
["Analyst",55000]
["USD",55000]
["04 | 50000 - 62500",55000]
[1,55000]
["4 to 6 hours a day",55000]
[55000,55000]
["ID1631",60000]
["Indonesia",60000]
["Manager",60000]
["USD",60000]
["04 | 50000 - 62500",60000]
[16,60000]
["2 to 3 hours per day",60000]
[60000,60000]
["ID1632",5698.5333399816218]
["India",5698.5333399816218]
["Manager",5698.5333399816218]
["INR",5698.5333399816218]
["00 | 0 - 12500",5698.5333399816218]
[5,5698.5333399816218]
["4 to 6 hours a day",5698.5333399816218]
[5698.5333399816218,5698.5333399816218]
["ID1633",9376.2513877177607]
["Mauritius",9376.2513877177607]
["Engineer",9376.2513877177607]
["MUR",9376.2513877177607]
["00 | 0 - 12500",9376.2513877177607]
[7,9376.2513877177607]
["4 to 6 hours a day",9376.2513877177607]
[9376.2513877177607,9376.2513877177607]
["ID1634",94570.696324037053]
["UK",94570.696324037053]
["Analyst",94570.696324037053]
["GBP",94570.696324037053]
["07 | 87500 - 100000",94570.696324037053]
[5,94570.696324037053]
["4 to 6 hours a day",94570.696324037053]
[94570.696324037053,94570.696324037053]
["ID1635",36000]
["Azerbaijan",36000]
["Consultant",36000]
["USD",36000]
["02 | 25000 - 37500",36000]
[5,36000]
["4 to 6 hours a day",36000]
[36000,36000]
["ID1636",65889.291743537498]
["India",65889.291743537498]
["Manager",65889.291743537498]
["INR",65889.291743537498]
["05 | 62500 - 75000",65889.291743537498]
[4,65889.291743537498]
["All the 8 hours baby, all the 8!",65889.291743537498]
[65889.291743537498,65889.291743537498]
["ID1637",106000]
["Denmark",106000]
["Analyst",106000]
["USD",106000]
["08 | 100000 - 112500",106000]
[7,106000]
["1 or 2 hours a day",106000]
[106000,106000]
["ID1638",82888.5550559455]
["Denmark",82888.5550559455]
["Controller",82888.5550559455]
["DKK",82888.5550559455]
["06 | 75000 - 87500",82888.5550559455]
[18,82888.5550559455]
["4 to 6 hours a day",82888.5550559455]
[82888.5550559455,82888.5550559455]
["ID1639",59819.107020370408]
["New Zealand",59819.107020370408]
["Analyst",59819.107020370408]
["NZD",59819.107020370408]
["04 | 50000 - 62500",59819.107020370408]
[10,59819.107020370408]
["2 to 3 hours per day",59819.107020370408]
[59819.107020370408,59819.107020370408]
["ID1640",6545]
["India",6545]
["Manager",6545]
["USD",6545]
["00 | 0 - 12500",6545]
[9,6545]
["All the 8 hours baby, all the 8!",6545]
[6545,6545]
["ID1641",17807.916687442568]
["India",17807.916687442568]
["Manager",17807.916687442568]
["INR",17807.916687442568]
["01 | 12500 - 25000",17807.916687442568]
[13,17807.916687442568]
["2 to 3 hours per day",17807.916687442568]
[17807.916687442568,17807.916687442568]
["ID1642",54000]
["USA",54000]
["CXO or Top Mgmt.",54000]
["USD",54000]
["04 | 50000 - 62500",54000]
[10,54000]
["4 to 6 hours a day",54000]
[54000,54000]
["ID1643",100000]
["USA",100000]
["Consultant",100000]
["USD",100000]
["08 | 100000 - 112500",100000]
[4,100000]
["2 to 3 hours per day",100000]
[100000,100000]
["ID1644",49168.076151516347]
["Canada",49168.076151516347]
["Analyst",49168.076151516347]
["CAD",49168.076151516347]
["03 | 37500 - 50000",49168.076151516347]
[5,49168.076151516347]
["4 to 6 hours a day",49168.076151516347]
[49168.076151516347,49168.076151516347]
["ID1645",4019]
["Philippines",4019]
["Specialist",4019]
["USD",4019]
["00 | 0 - 12500",4019]
[3,4019]
["2 to 3 hours per day",4019]
[4019,4019]
["ID1646",15000]
["Pakistan",15000]
["Analyst",15000]
["USD",15000]
["01 | 12500 - 25000",15000]
[5,15000]
["4 to 6 hours a day",15000]
[15000,15000]
["ID1647",17807.916687442568]
["India",17807.916687442568]
["Analyst",17807.916687442568]
["INR",17807.916687442568]
["01 | 12500 - 25000",17807.916687442568]
[4,17807.916687442568]
["All the 8 hours baby, all the 8!",17807.916687442568]
[17807.916687442568,17807.916687442568]
["ID1648",12000]
["India",12000]
["Reporting",12000]
["USD",12000]
["00 | 0 - 12500",12000]
[3,12000]
["All the 8 hours baby, all the 8!",12000]
[12000,12000]
["ID1649",2225.989585930321]
["India",2225.989585930321]
["Analyst",2225.989585930321]
["INR",2225.989585930321]
["00 | 0 - 12500",2225.989585930321]
[4,2225.989585930321]
["2 to 3 hours per day",2225.989585930321]
[2225.989585930321,2225.989585930321]
["ID1650",86000]
["Philippines",86000]
["Analyst",86000]
["USD",86000]
["06 | 75000 - 87500",86000]
[3,86000]
["All the 8 hours baby, all the 8!",86000]
[86000,86000]
["ID1651",6054.6916737304728]
["India",6054.6916737304728]
["Manager",6054.6916737304728]
["INR",6054.6916737304728]
["00 | 0 - 12500",6054.6916737304728]
[5,6054.6916737304728]
["4 to 6 hours a day",6054.6916737304728]
[6054.6916737304728,6054.6916737304728]
["ID1652",3360]
["India",3360]
["Analyst",3360]
["USD",3360]
["00 | 0 - 12500",3360]
[3,3360]
["1 or 2 hours a day",3360]
[3360,3360]
["ID1653",10000]
["India",10000]
["CXO or Top Mgmt.",10000]
["USD",10000]
["00 | 0 - 12500",10000]
[1,10000]
["All the 8 hours baby, all the 8!",10000]
[10000,10000]
["ID1654",70000]
["USA",70000]
["Analyst",70000]
["USD",70000]
["05 | 62500 - 75000",70000]
[9,70000]
["4 to 6 hours a day",70000]
[70000,70000]
["ID1655",155000]
["USA",155000]
["Manager",155000]
["USD",155000]
["12 | 150000 - 162500",155000]
[14,155000]
["1 or 2 hours a day",155000]
[155000,155000]
["ID1657",10000]
["India",10000]
["Reporting",10000]
["USD",10000]
["00 | 0 - 12500",10000]
[2,10000]
["All the 8 hours baby, all the 8!",10000]
[10000,10000]
["ID1658",5342.3750062327708]
["India",5342.3750062327708]
["Analyst",5342.3750062327708]
["INR",5342.3750062327708]
["00 | 0 - 12500",5342.3750062327708]
[8,5342.3750062327708]
["4 to 6 hours a day",5342.3750062327708]
[5342.3750062327708,5342.3750062327708]
["ID1659",85672.4111378214]
["Australia",85672.4111378214]
["Consultant",85672.4111378214]
["AUD",85672.4111378214]
["06 | 75000 - 87500",85672.4111378214]
[6,85672.4111378214]
["4 to 6 hours a day",85672.4111378214]
[85672.4111378214,85672.4111378214]
["ID1660",4273.9000049862161]
["India",4273.9000049862161]
["Controller",4273.9000049862161]
["INR",4273.9000049862161]
["00 | 0 - 12500",4273.9000049862161]
[15,4273.9000049862161]
["2 to 3 hours per day",4273.9000049862161]
[4273.9000049862161,4273.9000049862161]
["ID1661",8903.9583437212841]
["India",8903.9583437212841]
["Manager",8903.9583437212841]
["INR",8903.9583437212841]
["00 | 0 - 12500",8903.9583437212841]
[20,8903.9583437212841]
["All the 8 hours baby, all the 8!",8903.9583437212841]
[8903.9583437212841,8903.9583437212841]
["ID1662",66199.48742682593]
["UK",66199.48742682593]
["Manager",66199.48742682593]
["GBP",66199.48742682593]
["05 | 62500 - 75000",66199.48742682593]
[23,66199.48742682593]
["4 to 6 hours a day",66199.48742682593]
[66199.48742682593,66199.48742682593]
["ID1663",5698.5333399816218]
["India",5698.5333399816218]
["Analyst",5698.5333399816218]
["INR",5698.5333399816218]
["00 | 0 - 12500",5698.5333399816218]
[2.5,5698.5333399816218]
["4 to 6 hours a day",5698.5333399816218]
[5698.5333399816218,5698.5333399816218]
["ID1664",34675.92198548025]
["UK",34675.92198548025]
["Manager",34675.92198548025]
["GBP",34675.92198548025]
["02 | 25000 - 37500",34675.92198548025]
[17,34675.92198548025]
["4 to 6 hours a day",34675.92198548025]
[34675.92198548025,34675.92198548025]
["ID1665",31200]
["Israel",31200]
["Reporting",31200]
["USD",31200]
["02 | 25000 - 37500",31200]
[11,31200]
["All the 8 hours baby, all the 8!",31200]
[31200,31200]
["ID1666",55068.245289698301]
["Canada",55068.245289698301]
["Consultant",55068.245289698301]
["CAD",55068.245289698301]
["04 | 50000 - 62500",55068.245289698301]
[1,55068.245289698301]
["All the 8 hours baby, all the 8!",55068.245289698301]
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["ID1667",13000]
["Slovakia",13000]
["Analyst",13000]
["USD",13000]
["01 | 12500 - 25000",13000]
[6,13000]
["All the 8 hours baby, all the 8!",13000]
[13000,13000]
["ID1668",92000]
["USA",92000]
["Reporting",92000]
["USD",92000]
["07 | 87500 - 100000",92000]
[12,92000]
["2 to 3 hours per day",92000]
[92000,92000]
["ID1669",85000]
["USA",85000]
["Manager",85000]
["USD",85000]
["06 | 75000 - 87500",85000]
[10,85000]
["All the 8 hours baby, all the 8!",85000]
[85000,85000]
["ID1670",11000]
["Tunisia",11000]
["Analyst",11000]
["USD",11000]
["00 | 0 - 12500",11000]
[8,11000]
["4 to 6 hours a day",11000]
[11000,11000]
["ID1671",38111.983169748237]
["Spain",38111.983169748237]
["Analyst",38111.983169748237]
["EUR",38111.983169748237]
["03 | 37500 - 50000",38111.983169748237]
[12,38111.983169748237]
["1 or 2 hours a day",38111.983169748237]
[38111.983169748237,38111.983169748237]
["ID1672",49000]
["USA",49000]
["Analyst",49000]
["USD",49000]
["03 | 37500 - 50000",49000]
[3,49000]
["2 to 3 hours per day",49000]
[49000,49000]
["ID1673",59000]
["USA",59000]
["Manager",59000]
["USD",59000]
["04 | 50000 - 62500",59000]
[3,59000]
["1 or 2 hours a day",59000]
[59000,59000]
["ID1674",55000]
["USA",55000]
["Analyst",55000]
["USD",55000]
["04 | 50000 - 62500",55000]
[15,55000]
["4 to 6 hours a day",55000]
[55000,55000]
["ID1675",75000]
["USA",75000]
["Accountant",75000]
["USD",75000]
["06 | 75000 - 87500",75000]
[10,75000]
["4 to 6 hours a day",75000]
[75000,75000]
["ID1677",50307.817784067665]
["Europe",50307.817784067665]
["Manager",50307.817784067665]
["EUR",50307.817784067665]
["04 | 50000 - 62500",50307.817784067665]
[5,50307.817784067665]
["1 or 2 hours a day",50307.817784067665]
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["ID1678",30500]
["Brazil",30500]
["Analyst",30500]
["USD",30500]
["02 | 25000 - 37500",30500]
[8,30500]
["All the 8 hours baby, all the 8!",30500]
[30500,30500]
["ID1679",80000]
["USA",80000]
["Specialist",80000]
["USD",80000]
["06 | 75000 - 87500",80000]
[2,80000]
["2 to 3 hours per day",80000]
[80000,80000]
["ID1680",12000]
["USA",12000]
["Analyst",12000]
["USD",12000]
["00 | 0 - 12500",12000]
[1,12000]
["2 to 3 hours per day",12000]
[12000,12000]
["ID1681",48500]
["USA",48500]
["Analyst",48500]
["USD",48500]
["03 | 37500 - 50000",48500]
[6,48500]
["4 to 6 hours a day",48500]
[48500,48500]
["ID1682",63047.130882691366]
["UK",63047.130882691366]
["Specialist",63047.130882691366]
["GBP",63047.130882691366]
["05 | 62500 - 75000",63047.130882691366]
[25,63047.130882691366]
["2 to 3 hours per day",63047.130882691366]
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["ID1683",3419.1200039889732]
["India",3419.1200039889732]
["Analyst",3419.1200039889732]
["INR",3419.1200039889732]
["00 | 0 - 12500",3419.1200039889732]
[5,3419.1200039889732]
["4 to 6 hours a day",3419.1200039889732]
[3419.1200039889732,3419.1200039889732]
["ID1684",87734.690296543267]
["New Zealand",87734.690296543267]
["Manager",87734.690296543267]
["NZD",87734.690296543267]
["07 | 87500 - 100000",87734.690296543267]
[6,87734.690296543267]
["4 to 6 hours a day",87734.690296543267]
[87734.690296543267,87734.690296543267]
["ID1685",56628.754645950656]
["New Zealand",56628.754645950656]
["Analyst",56628.754645950656]
["NZD",56628.754645950656]
["04 | 50000 - 62500",56628.754645950656]
[6,56628.754645950656]
["All the 8 hours baby, all the 8!",56628.754645950656]
[56628.754645950656,56628.754645950656]
["ID1686",8013.5625093491553]
["India",8013.5625093491553]
["Reporting",8013.5625093491553]
["INR",8013.5625093491553]
["00 | 0 - 12500",8013.5625093491553]
[4,8013.5625093491553]
["All the 8 hours baby, all the 8!",8013.5625093491553]
[8013.5625093491553,8013.5625093491553]
["ID1687",3561.5833374885137]
["India",3561.5833374885137]
["Analyst",3561.5833374885137]
["INR",3561.5833374885137]
["00 | 0 - 12500",3561.5833374885137]
[16,3561.5833374885137]
["1 or 2 hours a day",3561.5833374885137]
[3561.5833374885137,3561.5833374885137]
["ID1688",62000]
["USA",62000]
["Engineer",62000]
["USD",62000]
["04 | 50000 - 62500",62000]
[12,62000]
["2 to 3 hours per day",62000]
[62000,62000]
["ID1689",26678.388218823762]
["Portugal",26678.388218823762]
["Analyst",26678.388218823762]
["EUR",26678.388218823762]
["02 | 25000 - 37500",26678.388218823762]
[5,26678.388218823762]
["4 to 6 hours a day",26678.388218823762]
[26678.388218823762,26678.388218823762]
["ID1690",70928.022243027779]
["UK",70928.022243027779]
["Analyst",70928.022243027779]
["GBP",70928.022243027779]
["05 | 62500 - 75000",70928.022243027779]
[5,70928.022243027779]
["All the 8 hours baby, all the 8!",70928.022243027779]
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["ID1691",41923.181486723057]
["France",41923.181486723057]
["Analyst",41923.181486723057]
["EUR",41923.181486723057]
["03 | 37500 - 50000",41923.181486723057]
[6,41923.181486723057]
["4 to 6 hours a day",41923.181486723057]
[41923.181486723057,41923.181486723057]
["ID1692",90000]
["USA",90000]
["Analyst",90000]
["USD",90000]
["07 | 87500 - 100000",90000]
[8,90000]
["2 to 3 hours per day",90000]
[90000,90000]
["ID1693",67700.452577525488]
["Norway",67700.452577525488]
["Analyst",67700.452577525488]
["NOK",67700.452577525488]
["05 | 62500 - 75000",67700.452577525488]
[5,67700.452577525488]
["All the 8 hours baby, all the 8!",67700.452577525488]
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["ID1694",85000]
["USA",85000]
["Analyst",85000]
["USD",85000]
["06 | 75000 - 87500",85000]
[12,85000]
["4 to 6 hours a day",85000]
[85000,85000]
["ID1695",78808.913603364199]
["UK",78808.913603364199]
["CXO or Top Mgmt.",78808.913603364199]
["GBP",78808.913603364199]
["06 | 75000 - 87500",78808.913603364199]
[10,78808.913603364199]
["4 to 6 hours a day",78808.913603364199]
[78808.913603364199,78808.913603364199]
["ID1696",65000]
["USA",65000]
["Analyst",65000]
["USD",65000]
["05 | 62500 - 75000",65000]
[8,65000]
["4 to 6 hours a day",65000]
[65000,65000]
["ID1697",75000]
["USA",75000]
["CXO or Top Mgmt.",75000]
["USD",75000]
["06 | 75000 - 87500",75000]
[3,75000]
["2 to 3 hours per day",75000]
[75000,75000]
["ID1698",92000]
["USA",92000]
["Analyst",92000]
["USD",92000]
["07 | 87500 - 100000",92000]
[9,92000]
["4 to 6 hours a day",92000]
[92000,92000]
["ID1699",50815.977559664309]
["Germany",50815.977559664309]
["Analyst",50815.977559664309]
["EUR",50815.977559664309]
["04 | 50000 - 62500",50815.977559664309]
[3,50815.977559664309]
["2 to 3 hours per day",50815.977559664309]
[50815.977559664309,50815.977559664309]
["ID1700",55954.328658388586]
["UK",55954.328658388586]
["Accountant",55954.328658388586]
["GBP",55954.328658388586]
["04 | 50000 - 62500",55954.328658388586]
[8,55954.328658388586]
["4 to 6 hours a day",55954.328658388586]
[55954.328658388586,55954.328658388586]
["ID1701",45000]
["USA",45000]
["Analyst",45000]
["USD",45000]
["03 | 37500 - 50000",45000]
[4,45000]
["2 to 3 hours per day",45000]
[45000,45000]
["ID1702",7123.1666749770275]
["India",7123.1666749770275]
["Analyst",7123.1666749770275]
["INR",7123.1666749770275]
["00 | 0 - 12500",7123.1666749770275]
[4,7123.1666749770275]
["4 to 6 hours a day",7123.1666749770275]
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["ID1703",49443.946165553374]
["Belgium",49443.946165553374]
["Analyst",49443.946165553374]
["EUR",49443.946165553374]
["03 | 37500 - 50000",49443.946165553374]
[1.5,49443.946165553374]
["4 to 6 hours a day",49443.946165553374]
[49443.946165553374,49443.946165553374]
["ID1704",45000]
["Mexico",45000]
["CXO or Top Mgmt.",45000]
["USD",45000]
["03 | 37500 - 50000",45000]
[5,45000]
["4 to 6 hours a day",45000]
[45000,45000]
["ID1705",60000]
["USA",60000]
["Analyst",60000]
["USD",60000]
["04 | 50000 - 62500",60000]
[1,60000]
["All the 8 hours baby, all the 8!",60000]
[60000,60000]
["ID1706",65000]
["USA",65000]
["Analyst",65000]
["USD",65000]
["05 | 62500 - 75000",65000]
[4,65000]
["All the 8 hours baby, all the 8!",65000]
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["ID1707",73000]
["USA",73000]
["Manager",73000]
["USD",73000]
["05 | 62500 - 75000",73000]
[6,73000]
["2 to 3 hours per day",73000]
[73000,73000]
["ID1708",54000]
["USA",54000]
["Analyst",54000]
["USD",54000]
["04 | 50000 - 62500",54000]
[6,54000]
["All the 8 hours baby, all the 8!",54000]
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["ID1710",81000]
["USA",81000]
["Analyst",81000]
["USD",81000]
["06 | 75000 - 87500",81000]
[6,81000]
["4 to 6 hours a day",81000]
[81000,81000]
["ID1711",10000]
["USA",10000]
["Analyst",10000]
["USD",10000]
["00 | 0 - 12500",10000]
[2,10000]
["4 to 6 hours a day",10000]
[10000,10000]
["ID1712",42000]
["USA",42000]
["Accountant",42000]
["USD",42000]
["03 | 37500 - 50000",42000]
[1,42000]
["4 to 6 hours a day",42000]
[42000,42000]
["ID1713",81592.772512210868]
["Australia",81592.772512210868]
["Specialist",81592.772512210868]
["AUD",81592.772512210868]
["06 | 75000 - 87500",81592.772512210868]
[5,81592.772512210868]
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["ID1714",35401.014829091764]
["Canada",35401.014829091764]
["Analyst",35401.014829091764]
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["02 | 25000 - 37500",35401.014829091764]
[2,35401.014829091764]
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["India",8903.9583437212841]
["Analyst",8903.9583437212841]
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["00 | 0 - 12500",8903.9583437212841]
[4,8903.9583437212841]
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["ID1717",10684.750012465542]
["India",10684.750012465542]
["Analyst",10684.750012465542]
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["00 | 0 - 12500",10684.750012465542]
[5,10684.750012465542]
["All the 8 hours baby, all the 8!",10684.750012465542]
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["ID1718",8400]
["Indonesia",8400]
["Analyst",8400]
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["00 | 0 - 12500",8400]
[14,8400]
["4 to 6 hours a day",8400]
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["India",9794.354178093412]
["Manager",9794.354178093412]
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["00 | 0 - 12500",9794.354178093412]
[13,9794.354178093412]
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[9794.354178093412,9794.354178093412]
["ID1720",14400]
["India",14400]
["Engineer",14400]
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["01 | 12500 - 25000",14400]
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["ID1721",2671.1875031163854]
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["Reporting",2671.1875031163854]
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["00 | 0 - 12500",2671.1875031163854]
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["All the 8 hours baby, all the 8!",2671.1875031163854]
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["ID1722",22000]
["India",22000]
["Manager",22000]
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["01 | 12500 - 25000",22000]
[6,22000]
["All the 8 hours baby, all the 8!",22000]
[22000,22000]
["ID1723",100000]
["Russia",100000]
["Analyst",100000]
["USD",100000]
["08 | 100000 - 112500",100000]
[6,100000]
["All the 8 hours baby, all the 8!",100000]
[100000,100000]
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["UK",63047.130882691366]
["Manager",63047.130882691366]
["GBP",63047.130882691366]
["05 | 62500 - 75000",63047.130882691366]
[15,63047.130882691366]
["4 to 6 hours a day",63047.130882691366]
[63047.130882691366,63047.130882691366]
["ID1725",56742.417794422225]
["UK",56742.417794422225]
["Manager",56742.417794422225]
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["04 | 50000 - 62500",56742.417794422225]
[25,56742.417794422225]
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["ID1726",25000]
["India",25000]
["Analyst",25000]
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["02 | 25000 - 37500",25000]
[8,25000]
["All the 8 hours baby, all the 8!",25000]
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["Analyst",8903.9583437212841]
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["00 | 0 - 12500",8903.9583437212841]
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["ID1729",42556.81334581667]
["UK",42556.81334581667]
["Analyst",42556.81334581667]
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["03 | 37500 - 50000",42556.81334581667]
[2,42556.81334581667]
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["ID1730",131770.4440860638]
["Canada",131770.4440860638]
["Accountant",131770.4440860638]
["CAD",131770.4440860638]
["10 | 125000 - 137500",131770.4440860638]
[20,131770.4440860638]
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["ID1731",68835.306612122877]
["Canada",68835.306612122877]
["Analyst",68835.306612122877]
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["05 | 62500 - 75000",68835.306612122877]
[2,68835.306612122877]
["All the 8 hours baby, all the 8!",68835.306612122877]
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["ID1732",6000]
["Armenia",6000]
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["00 | 0 - 12500",6000]
[5,6000]
["All the 8 hours baby, all the 8!",6000]
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["ID1733",78808.913603364199]
["UK",78808.913603364199]
["Analyst",78808.913603364199]
["GBP",78808.913603364199]
["06 | 75000 - 87500",78808.913603364199]
[2,78808.913603364199]
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["00 | 0 - 12500",7497.1329254133216]
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["4 to 6 hours a day",7497.1329254133216]
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["ID1735",10000]
["India",10000]
["Manager",10000]
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["00 | 0 - 12500",10000]
[11,10000]
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["00 | 0 - 12500",6410.8500074793246]
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["05 | 62500 - 75000",63047.130882691366]
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["ID1738",61194.579384158147]
["Australia",61194.579384158147]
["Analyst",61194.579384158147]
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["04 | 50000 - 62500",61194.579384158147]
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["09 | 112500 - 125000",115061.01386091174]
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["USA",45000]
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["All the 8 hours baby, all the 8!",45000]
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["USA",36000]
["Analyst",36000]
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["02 | 25000 - 37500",36000]
[4,36000]
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["ID1742",68000]
["USA",68000]
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["05 | 62500 - 75000",68000]
[2.5,68000]
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["ID1743",75000]
["USA",75000]
["Analyst",75000]
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["06 | 75000 - 87500",75000]
[5,75000]
["All the 8 hours baby, all the 8!",75000]
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["USA",88000]
["Analyst",88000]
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["07 | 87500 - 100000",88000]
[10,88000]
["All the 8 hours baby, all the 8!",88000]
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["ID1745",4594.4425053601826]
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["00 | 0 - 12500",4594.4425053601826]
[4,4594.4425053601826]
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["USA",69000]
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["05 | 62500 - 75000",69000]
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["All the 8 hours baby, all the 8!",69000]
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["ID1748",80000]
["USA",80000]
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["All the 8 hours baby, all the 8!",75000]
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["ID1753",3205.4250037396623]
["India",3205.4250037396623]
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["All the 8 hours baby, all the 8!",60000]
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["ID1755",60000]
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["04 | 50000 - 62500",60000]
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["All the 8 hours baby, all the 8!",60000]
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["ID1760",20122.945856810104]
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["All the 8 hours baby, all the 8!",20122.945856810104]
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["ID1761",70928.022243027779]
["UK",70928.022243027779]
["Analyst",70928.022243027779]
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["05 | 62500 - 75000",70928.022243027779]
[20,70928.022243027779]
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["ID1762",67000]
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[4,30000]
["2 to 3 hours per day",30000]
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["ID1764",148102.22862117883]
["Switzerland",148102.22862117883]
["Manager",148102.22862117883]
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["11 | 137500 - 150000",148102.22862117883]
[6,148102.22862117883]
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[6,67000]
["Excel ?!? What Excel?",67000]
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["USA",52500]
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["04 | 50000 - 62500",52500]
[3,52500]
["All the 8 hours baby, all the 8!",52500]
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["UAE",18000]
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[3,18000]
["All the 8 hours baby, all the 8!",18000]
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["ID1774",21342.710575059013]
["Portugal",21342.710575059013]
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[15,21342.710575059013]
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["ID1775",85000]
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["ID1776",80000]
["Brazil",80000]
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["06 | 75000 - 87500",80000]
[9,80000]
["1 or 2 hours a day",80000]
[80000,80000]
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["00 | 0 - 12500",8903.9583437212841]
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["ID1778",125000]
["USA",125000]
["Manager",125000]
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["10 | 125000 - 137500",125000]
[10,125000]
["All the 8 hours baby, all the 8!",125000]
[125000,125000]
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[9,23150.291693675339]
["All the 8 hours baby, all the 8!",23150.291693675339]
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["ID1780",12000]
["India",12000]
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["00 | 0 - 12500",12000]
[7,12000]
["2 to 3 hours per day",12000]
[12000,12000]
["ID1781",30000]
["Malaysia",30000]
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["02 | 25000 - 37500",30000]
[12,30000]
["1 or 2 hours a day",30000]
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["ID1782",91468.759607395754]
["Croatia",91468.759607395754]
["Manager",91468.759607395754]
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["07 | 87500 - 100000",91468.759607395754]
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["ID1783",35148.775467100437]
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[4,35148.775467100437]
["All the 8 hours baby, all the 8!",35148.775467100437]
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["ID1784",49153.119414418252]
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["03 | 37500 - 50000",49153.119414418252]
[7,49153.119414418252]
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["ID1785",2671.1875031163854]
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["2 to 3 hours per day",2671.1875031163854]
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["ID1786",42556.81334581667]
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["03 | 37500 - 50000",42556.81334581667]
[3,42556.81334581667]
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["ID1787",42556.81334581667]
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["03 | 37500 - 50000",42556.81334581667]
[3,42556.81334581667]
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["03 | 37500 - 50000",41768.724209783031]
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["India",2400]
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["Bangladesh",3000]
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["00 | 0 - 12500",3000]
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["Singapore",33600]
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["All the 8 hours baby, all the 8!",33600]
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["ID1799",100000]
["USA",100000]
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["08 | 100000 - 112500",100000]
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["All the 8 hours baby, all the 8!",100000]
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["04 | 50000 - 62500",50437.70470615309]
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["USA",120000]
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["09 | 112500 - 125000",120000]
[20,120000]
["4 to 6 hours a day",120000]
[120000,120000]
["ID1831",20000]
["Hong Kong",20000]
["Analyst",20000]
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["01 | 12500 - 25000",20000]
[1,20000]
["1 or 2 hours a day",20000]
[20000,20000]
["ID1832",15000]
["India",15000]
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["2 to 3 hours per day",15000]
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["01 | 12500 - 25000",17807.916687442568]
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["2 to 3 hours per day",17807.916687442568]
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["ID1834",16027.125018698311]
["India",16027.125018698311]
["Manager",16027.125018698311]
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["01 | 12500 - 25000",16027.125018698311]
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["2 to 3 hours per day",16027.125018698311]
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["ID1835",56742.417794422225]
["UK",56742.417794422225]
["Manager",56742.417794422225]
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["04 | 50000 - 62500",56742.417794422225]
[7,56742.417794422225]
["All the 8 hours baby, all the 8!",56742.417794422225]
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["ID1836",21369.500024931083]
["India",21369.500024931083]
["Manager",21369.500024931083]
["INR",21369.500024931083]
["01 | 12500 - 25000",21369.500024931083]
[7,21369.500024931083]
["4 to 6 hours a day",21369.500024931083]
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["ID1837",7568.3645921630914]
["India",7568.3645921630914]
["Accountant",7568.3645921630914]
["INR",7568.3645921630914]
["00 | 0 - 12500",7568.3645921630914]
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["ID1838",78808.913603364199]
["UK",78808.913603364199]
["Accountant",78808.913603364199]
["GBP",78808.913603364199]
["06 | 75000 - 87500",78808.913603364199]
[10,78808.913603364199]
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["ID1839",60000]
["USA",60000]
["Analyst",60000]
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["04 | 50000 - 62500",60000]
[15,60000]
["4 to 6 hours a day",60000]
[60000,60000]
["ID1840",57000]
["USA",57000]
["Accountant",57000]
["USD",57000]
["04 | 50000 - 62500",57000]
[9,57000]
["4 to 6 hours a day",57000]
[57000,57000]
["ID1841",40000]
["USA",40000]
["Analyst",40000]
["USD",40000]
["03 | 37500 - 50000",40000]
[0,40000]
["2 to 3 hours per day",40000]
[40000,40000]
["ID1842",80000]
["USA",80000]
["Controller",80000]
["USD",80000]
["06 | 75000 - 87500",80000]
[9,80000]
["4 to 6 hours a day",80000]
[80000,80000]
["ID1843",118000]
["USA",118000]
["CXO or Top Mgmt.",118000]
["USD",118000]
["09 | 112500 - 125000",118000]
[6,118000]
["4 to 6 hours a day",118000]
[118000,118000]
["ID1844",60000]
["UAE",60000]
["Analyst",60000]
["USD",60000]
["04 | 50000 - 62500",60000]
[5,60000]
["4 to 6 hours a day",60000]
[60000,60000]
["ID1845",6720]
["India",6720]
["Accountant",6720]
["USD",6720]
["00 | 0 - 12500",6720]
[5,6720]
["4 to 6 hours a day",6720]
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["ID1846",20640]
["Singapore",20640]
["Manager",20640]
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["01 | 12500 - 25000",20640]
[3,20640]
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["ID1847",50000]
["USA",50000]
["Analyst",50000]
["USD",50000]
["04 | 50000 - 62500",50000]
[15,50000]
["All the 8 hours baby, all the 8!",50000]
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["ID1848",24000]
["Russia",24000]
["Controller",24000]
["USD",24000]
["01 | 12500 - 25000",24000]
[23,24000]
["All the 8 hours baby, all the 8!",24000]
[24000,24000]
["ID1849",60000]
["USA",60000]
["Analyst",60000]
["USD",60000]
["04 | 50000 - 62500",60000]
[3,60000]
["2 to 3 hours per day",60000]
[60000,60000]
["ID1850",37500]
["India",37500]
["Consultant",37500]
["USD",37500]
["03 | 37500 - 50000",37500]
[0,37500]
["All the 8 hours baby, all the 8!",37500]
[37500,37500]
["ID1851",40000]
["USA",40000]
["Specialist",40000]
["USD",40000]
["03 | 37500 - 50000",40000]
[1,40000]
["4 to 6 hours a day",40000]
[40000,40000]
["ID1852",85000]
["USA",85000]
["CXO or Top Mgmt.",85000]
["USD",85000]
["06 | 75000 - 87500",85000]
[15,85000]
["2 to 3 hours per day",85000]
[85000,85000]
["ID1853",30000]
["Brazil",30000]
["Analyst",30000]
["USD",30000]
["02 | 25000 - 37500",30000]
[1,30000]
["2 to 3 hours per day",30000]
[30000,30000]
["ID1854",52801.972114254015]
["UK",52801.972114254015]
["Engineer",52801.972114254015]
["GBP",52801.972114254015]
["04 | 50000 - 62500",52801.972114254015]
[7,52801.972114254015]
["2 to 3 hours per day",52801.972114254015]
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["ID1855",29000]
["USA",29000]
["Engineer",29000]
["USD",29000]
["02 | 25000 - 37500",29000]
[1,29000]
["All the 8 hours baby, all the 8!",29000]
[29000,29000]
["ID1857",48000]
["USA",48000]
["Accountant",48000]
["USD",48000]
["03 | 37500 - 50000",48000]
[1,48000]
["4 to 6 hours a day",48000]
[48000,48000]
["ID1858",48000]
["USA",48000]
["Accountant",48000]
["USD",48000]
["03 | 37500 - 50000",48000]
[1,48000]
["4 to 6 hours a day",48000]
[48000,48000]
["ID1859",8400]
["Baltic",8400]
["Analyst",8400]
["USD",8400]
["00 | 0 - 12500",8400]
[0.3,8400]
["All the 8 hours baby, all the 8!",8400]
[8400,8400]
["ID1860",4808.137505609493]
["India",4808.137505609493]
["Manager",4808.137505609493]
["INR",4808.137505609493]
["00 | 0 - 12500",4808.137505609493]
[5,4808.137505609493]
["2 to 3 hours per day",4808.137505609493]
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["ID1861",24931.083362419595]
["India",24931.083362419595]
["Manager",24931.083362419595]
["INR",24931.083362419595]
["01 | 12500 - 25000",24931.083362419595]
[10,24931.083362419595]
["4 to 6 hours a day",24931.083362419595]
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["ID1862",12465.541681209797]
["India",12465.541681209797]
["Analyst",12465.541681209797]
["INR",12465.541681209797]
["00 | 0 - 12500",12465.541681209797]
[4,12465.541681209797]
["2 to 3 hours per day",12465.541681209797]
[12465.541681209797,12465.541681209797]
["ID1863",31523.565441345683]
["UK",31523.565441345683]
["Accountant",31523.565441345683]
["GBP",31523.565441345683]
["02 | 25000 - 37500",31523.565441345683]
[10,31523.565441345683]
["2 to 3 hours per day",31523.565441345683]
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["ID1864",17807.916687442568]
["India",17807.916687442568]
["Manager",17807.916687442568]
["INR",17807.916687442568]
["01 | 12500 - 25000",17807.916687442568]
[10,17807.916687442568]
["All the 8 hours baby, all the 8!",17807.916687442568]
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["ID1865",112000]
["USA",112000]
["Manager",112000]
["USD",112000]
["08 | 100000 - 112500",112000]
[8,112000]
["2 to 3 hours per day",112000]
[112000,112000]
["ID1866",11000]
["India",11000]
["Manager",11000]
["USD",11000]
["00 | 0 - 12500",11000]
[8,11000]
["All the 8 hours baby, all the 8!",11000]
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["ID1867",114335.9495092447]
["Europe",114335.9495092447]
["Controller",114335.9495092447]
["EUR",114335.9495092447]
["09 | 112500 - 125000",114335.9495092447]
[20,114335.9495092447]
["2 to 3 hours per day",114335.9495092447]
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["ID1868",16110]
["Colombia",16110]
["Analyst",16110]
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["01 | 12500 - 25000",16110]
[10,16110]
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["ID1869",72000]
["USA",72000]
["Manager",72000]
["USD",72000]
["05 | 62500 - 75000",72000]
[10,72000]
["4 to 6 hours a day",72000]
[72000,72000]
["ID1870",60000]
["USA",60000]
["Analyst",60000]
["USD",60000]
["04 | 50000 - 62500",60000]
[10,60000]
["All the 8 hours baby, all the 8!",60000]
[60000,60000]
["ID1871",67000]
["USA",67000]
["Analyst",67000]
["USD",67000]
["05 | 62500 - 75000",67000]
[6,67000]
["4 to 6 hours a day",67000]
[67000,67000]
["ID1872",54000]
["USA",54000]
["Analyst",54000]
["USD",54000]
["04 | 50000 - 62500",54000]
[18,54000]
["4 to 6 hours a day",54000]
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["ID1873",38666]
["South Africa",38666]
["Specialist",38666]
["USD",38666]
["03 | 37500 - 50000",38666]
[10,38666]
["All the 8 hours baby, all the 8!",38666]
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["ID1874",63000]
["USA",63000]
["Analyst",63000]
["USD",63000]
["05 | 62500 - 75000",63000]
[6,63000]
["4 to 6 hours a day",63000]
[63000,63000]
["ID1875",63000]
["USA",63000]
["Analyst",63000]
["USD",63000]
["05 | 62500 - 75000",63000]
[1,63000]
["All the 8 hours baby, all the 8!",63000]
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["ID1876",6410.8500074793246]
["India",6410.8500074793246]
["Analyst",6410.8500074793246]
["INR",6410.8500074793246]
["00 | 0 - 12500",6410.8500074793246]
[2,6410.8500074793246]
["All the 8 hours baby, all the 8!",6410.8500074793246]
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["ID1877",10684.750012465542]
["India",10684.750012465542]
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["INR",10684.750012465542]
["00 | 0 - 12500",10684.750012465542]
[12,10684.750012465542]
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["ID1878",40000]
["India",40000]
["Manager",40000]
["USD",40000]
["03 | 37500 - 50000",40000]
[5,40000]
["4 to 6 hours a day",40000]
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["ID1879",6232.7708406048987]
["India",6232.7708406048987]
["Analyst",6232.7708406048987]
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["00 | 0 - 12500",6232.7708406048987]
[6,6232.7708406048987]
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["ID1880",41712.231189497601]
["India",41712.231189497601]
["Misc.",41712.231189497601]
["INR",41712.231189497601]
["03 | 37500 - 50000",41712.231189497601]
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["ID1881",12465.541681209797]
["India",12465.541681209797]
["Manager",12465.541681209797]
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["00 | 0 - 12500",12465.541681209797]
[9,12465.541681209797]
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["ID1882",32311.654577379326]
["UK",32311.654577379326]
["Analyst",32311.654577379326]
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["02 | 25000 - 37500",32311.654577379326]
[20,32311.654577379326]
["4 to 6 hours a day",32311.654577379326]
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["ID1883",7123.1666749770275]
["India",7123.1666749770275]
["Analyst",7123.1666749770275]
["INR",7123.1666749770275]
["00 | 0 - 12500",7123.1666749770275]
[2,7123.1666749770275]
["1 or 2 hours a day",7123.1666749770275]
[7123.1666749770275,7123.1666749770275]
["ID1884",100000]
["UAE",100000]
["Manager",100000]
["USD",100000]
["08 | 100000 - 112500",100000]
[15,100000]
["All the 8 hours baby, all the 8!",100000]
[100000,100000]
["ID1885",59819.107020370408]
["New Zealand",59819.107020370408]
["Accountant",59819.107020370408]
["NZD",59819.107020370408]
["04 | 50000 - 62500",59819.107020370408]
[4,59819.107020370408]
["4 to 6 hours a day",59819.107020370408]
[59819.107020370408,59819.107020370408]
["ID1886",25000]
["India",25000]
["Analyst",25000]
["USD",25000]
["02 | 25000 - 37500",25000]
[1.5,25000]
["All the 8 hours baby, all the 8!",25000]
[25000,25000]
["ID1887",5000]
["India",5000]
["Analyst",5000]
["USD",5000]
["00 | 0 - 12500",5000]
[10,5000]
["2 to 3 hours per day",5000]
[5000,5000]
["ID1888",64254.308353366054]
["Australia",64254.308353366054]
["Accountant",64254.308353366054]
["AUD",64254.308353366054]
["05 | 62500 - 75000",64254.308353366054]
[3,64254.308353366054]
["All the 8 hours baby, all the 8!",64254.308353366054]
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["ID1889",76223.966339496474]
["Germany",76223.966339496474]
["Manager",76223.966339496474]
["EUR",76223.966339496474]
["06 | 75000 - 87500",76223.966339496474]
[6,76223.966339496474]
["4 to 6 hours a day",76223.966339496474]
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["ID1890",102542.54233725216]
["Denmark",102542.54233725216]
["Engineer",102542.54233725216]
["DKK",102542.54233725216]
["08 | 100000 - 112500",102542.54233725216]
[20,102542.54233725216]
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["ID1891",46000]
["USA",46000]
["Analyst",46000]
["USD",46000]
["03 | 37500 - 50000",46000]
[1,46000]
["All the 8 hours baby, all the 8!",46000]
[46000,46000]
["ID1892",5000]
["India",5000]
["Analyst",5000]
["USD",5000]
["00 | 0 - 12500",5000]
[2,5000]
["All the 8 hours baby, all the 8!",5000]
[5000,5000]
["ID1893",77819.106783521114]
["Australia",77819.106783521114]
["Analyst",77819.106783521114]
["AUD",77819.106783521114]
["06 | 75000 - 87500",77819.106783521114]
[3,77819.106783521114]
["All the 8 hours baby, all the 8!",77819.106783521114]
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["ID1894",6232.7708406048987]
["India",6232.7708406048987]
["Manager",6232.7708406048987]
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["00 | 0 - 12500",6232.7708406048987]
[27,6232.7708406048987]
["2 to 3 hours per day",6232.7708406048987]
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["ID1895",55166.239522354947]
["UK",55166.239522354947]
["Analyst",55166.239522354947]
["GBP",55166.239522354947]
["04 | 50000 - 62500",55166.239522354947]
[34,55166.239522354947]
["All the 8 hours baby, all the 8!",55166.239522354947]
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["ID1896",45000]
["USA",45000]
["Accountant",45000]
["USD",45000]
["03 | 37500 - 50000",45000]
[5,45000]
["2 to 3 hours per day",45000]
[45000,45000]
["ID1897",60000]
["Canada",60000]
["Manager",60000]
["USD",60000]
["04 | 50000 - 62500",60000]
[10,60000]
["2 to 3 hours per day",60000]
[60000,60000]
["ID1898",43000]
["USA",43000]
["Analyst",43000]
["USD",43000]
["03 | 37500 - 50000",43000]
[5,43000]
["4 to 6 hours a day",43000]
[43000,43000]
["ID1899",35571.184291765021]
["Spain",35571.184291765021]
["Controller",35571.184291765021]
["EUR",35571.184291765021]
["02 | 25000 - 37500",35571.184291765021]
[8,35571.184291765021]
["4 to 6 hours a day",35571.184291765021]
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["ID1900",48000]
["USA",48000]
["Analyst",48000]
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["03 | 37500 - 50000",48000]
[12,48000]
["4 to 6 hours a day",48000]
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["ID1901",122389.15876831629]
["Australia",122389.15876831629]
["Manager",122389.15876831629]
["AUD",122389.15876831629]
["09 | 112500 - 125000",122389.15876831629]
[8,122389.15876831629]
["1 or 2 hours a day",122389.15876831629]
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["ID1902",4000]
["India",4000]
["Analyst",4000]
["USD",4000]
["00 | 0 - 12500",4000]
[4,4000]
["2 to 3 hours per day",4000]
[4000,4000]
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["India",4451.9791718606421]
["Reporting",4451.9791718606421]
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["00 | 0 - 12500",4451.9791718606421]
[3,4451.9791718606421]
["4 to 6 hours a day",4451.9791718606421]
[4451.9791718606421,4451.9791718606421]
["ID1904",2953.8461538461538]
["Ethiopia",2953.8461538461538]
["Reporting",2953.8461538461538]
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["00 | 0 - 12500",2953.8461538461538]
[3,2953.8461538461538]
["4 to 6 hours a day",2953.8461538461538]
[2953.8461538461538,2953.8461538461538]
["ID1905",39404.456801682099]
["UK",39404.456801682099]
["Analyst",39404.456801682099]
["GBP",39404.456801682099]
["03 | 37500 - 50000",39404.456801682099]
[3,39404.456801682099]
["4 to 6 hours a day",39404.456801682099]
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["ID1906",75473.31457379504]
["Australia",75473.31457379504]
["Analyst",75473.31457379504]
["AUD",75473.31457379504]
["06 | 75000 - 87500",75473.31457379504]
[8,75473.31457379504]
["4 to 6 hours a day",75473.31457379504]
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["ID1907",13355.937515581925]
["India",13355.937515581925]
["Analyst",13355.937515581925]
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["01 | 12500 - 25000",13355.937515581925]
[5,13355.937515581925]
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["ID1908",25000]
["India",25000]
["Manager",25000]
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["02 | 25000 - 37500",25000]
[10,25000]
["4 to 6 hours a day",25000]
[25000,25000]
["ID1909",7479.3250087258784]
["India",7479.3250087258784]
["Analyst",7479.3250087258784]
["INR",7479.3250087258784]
["00 | 0 - 12500",7479.3250087258784]
[2,7479.3250087258784]
["4 to 6 hours a day",7479.3250087258784]
[7479.3250087258784,7479.3250087258784]
["ID1910",62000]
["USA",62000]
["Analyst",62000]
["USD",62000]
["04 | 50000 - 62500",62000]
[4,62000]
["4 to 6 hours a day",62000]
[62000,62000]
["ID1911",48000]
["USA",48000]
["Analyst",48000]
["USD",48000]
["03 | 37500 - 50000",48000]
[1,48000]
["4 to 6 hours a day",48000]
[48000,48000]
["ID1912",5000]
["India",5000]
["Misc.",5000]
["USD",5000]
["00 | 0 - 12500",5000]
[3,5000]
["4 to 6 hours a day",5000]
[5000,5000]
["ID1914",4914.9850057341491]
["India",4914.9850057341491]
["Reporting",4914.9850057341491]
["INR",4914.9850057341491]
["00 | 0 - 12500",4914.9850057341491]
[6,4914.9850057341491]
["All the 8 hours baby, all the 8!",4914.9850057341491]
[4914.9850057341491,4914.9850057341491]
["ID1915",75000]
["USA",75000]
["Analyst",75000]
["USD",75000]
["06 | 75000 - 87500",75000]
[3,75000]
["1 or 2 hours a day",75000]
[75000,75000]
["ID1916",4451.9791718606421]
["India",4451.9791718606421]
["Analyst",4451.9791718606421]
["INR",4451.9791718606421]
["00 | 0 - 12500",4451.9791718606421]
[1.6,4451.9791718606421]
["Excel ?!? What Excel?",4451.9791718606421]
[4451.9791718606421,4451.9791718606421]
["ID1917",8400]
["India",8400]
["Reporting",8400]
["USD",8400]
["00 | 0 - 12500",8400]
[6,8400]
["All the 8 hours baby, all the 8!",8400]
[8400,8400]
["ID1918",20000]
["India",20000]
["Manager",20000]
["USD",20000]
["01 | 12500 - 25000",20000]
[5,20000]
["2 to 3 hours per day",20000]
[20000,20000]
["ID1919",110000]
["USA",110000]
["CXO or Top Mgmt.",110000]
["USD",110000]
["08 | 100000 - 112500",110000]
[10,110000]
["4 to 6 hours a day",110000]
[110000,110000]
["ID1920",50000]
["USA",50000]
["Analyst",50000]
["USD",50000]
["04 | 50000 - 62500",50000]
[3.5,50000]
["All the 8 hours baby, all the 8!",50000]
[50000,50000]
["ID1921",46000]
["USA",46000]
["Analyst",46000]
["USD",46000]
["03 | 37500 - 50000",46000]
[8,46000]
["4 to 6 hours a day",46000]
[46000,46000]
["ID1922",115000]
["USA",115000]
["Analyst",115000]
["USD",115000]
["09 | 112500 - 125000",115000]
[15,115000]
["All the 8 hours baby, all the 8!",115000]
[115000,115000]
["ID1924",3205.4250037396623]
["India",3205.4250037396623]
["Analyst",3205.4250037396623]
["INR",3205.4250037396623]
["00 | 0 - 12500",3205.4250037396623]
[3,3205.4250037396623]
["4 to 6 hours a day",3205.4250037396623]
[3205.4250037396623,3205.4250037396623]
["ID1925",76223.966339496474]
["Europe",76223.966339496474]
["Manager",76223.966339496474]
["EUR",76223.966339496474]
["06 | 75000 - 87500",76223.966339496474]
[20,76223.966339496474]
["2 to 3 hours per day",76223.966339496474]
[76223.966339496474,76223.966339496474]
["ID1927",52500]
["South Africa",52500]
["Analyst",52500]
["USD",52500]
["04 | 50000 - 62500",52500]
[21,52500]
["4 to 6 hours a day",52500]
[52500,52500]
["ID1928",100800]
["Oman",100800]
["CXO or Top Mgmt.",100800]
["USD",100800]
["08 | 100000 - 112500",100800]
[4,100800]
["4 to 6 hours a day",100800]
[100800,100800]
["ID1929",21000]
["India",21000]
["Misc.",21000]
["USD",21000]
["01 | 12500 - 25000",21000]
[5,21000]
["All the 8 hours baby, all the 8!",21000]
[21000,21000]
["ID1930",40000]
["USA",40000]
["Analyst",40000]
["USD",40000]
["03 | 37500 - 50000",40000]
[3,40000]
["1 or 2 hours a day",40000]
[40000,40000]
["ID1931",46359]
["USA",46359]
["Analyst",46359]
["USD",46359]
["03 | 37500 - 50000",46359]
[5,46359]
["All the 8 hours baby, all the 8!",46359]
[46359,46359]
["ID1932",70000]
["USA",70000]
["Analyst",70000]
["USD",70000]
["05 | 62500 - 75000",70000]
[10,70000]
["4 to 6 hours a day",70000]
[70000,70000]

{"sheet":"Data","index":4,"n_rows":1888,"n_cols":15,"rows_kept":1888,"cut":false,"hidden":false,"merged":[[0,1,0,4]]}
[null,"Excel Salary Survey Data"]
[]
[null,"Note: Experience data is not available for first few hundred rows."]
[]
[null,"Unique ID","Timestamp","Your Salary","clean Salary (in local currency)","Currency","Salary in USD","Your Job Title","Job Type","Where do you work","clean Country","How many hours of a day you work on Excel","Years of Experience","Salary Range","Into range Scatterplot"]
[null,"ID0477","2012-05-26T03:17:19",1250000,1250000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":1229201.9037879086},"Account Executive","Accountant","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"19 | 237500 - higher"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":"x"}]
[null,"ID0211","2012-05-26T00:54:28",400000,400000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":400000},"program manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"19 | 237500 - higher"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":"x"}]
[null,"ID0318","2012-05-26T01:27:03",400000,400000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":400000},"Financial Specialist","Specialist","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"19 | 237500 - higher"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":"x"}]
[null,"ID0584","2012-05-26T07:44:04",300000,300000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":300000},"CEO","CXO or Top Mgmt.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",30,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"19 | 237500 - higher"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":"x"}]
[null,"ID0493","2012-05-26T03:37:33",190000,190000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":299473.87169278396},"Managing Partner","CXO or Top Mgmt.","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"19 | 237500 - higher"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":"x"}]
[null,"ID0981","2012-05-28T07:46:28",260000,260000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":260000},"CFO","CXO or Top Mgmt.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"19 | 237500 - higher"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":"x"}]
[null,"ID0309","2012-05-26T01:23:50",200000,200000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":254079.88779832155},"consultant bi","Reporting","The netherlands",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Netherlands"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"19 | 237500 - higher"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":"x"}]
[null,"ID0425","2012-05-26T02:22:17","250000 to 270000",250000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":250000},"consultant","Consultant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"19 | 237500 - higher"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":"x"}]
[null,"ID1516","2012-05-31T02:37:09",250000,250000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":250000},"consultant","Consultant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"19 | 237500 - higher"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":"x"}]
[null,"ID0620","2012-05-26T10:59:10",250000,250000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":245840.3807575817},"Business Analyst","Analyst","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"4 to 6 hours a day",32,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"19 | 237500 - higher"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":"x"}]
[null,"ID1489","2012-05-30T20:26:10",146633,146633,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":231119.74856804207},"Senior Planning Engineer","Engineer","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"18 | 225000 - 237500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":"x"}]
[null,"ID1394","2012-05-29T22:04:09",180000,180000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":228671.89901848941},"MIS Controller","Controller","Europe",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Europe"},"4 to 6 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"18 | 225000 - 237500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":"x"}]
[null,"ID1656","2012-06-04T10:23:27",225000,225000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":225000},"SVP of Acquisitions","CXO or Top Mgmt.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"18 | 225000 - 237500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":"x"}]
[null,"ID0374","2012-05-26T01:52:01","2207,00",220700,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":220700},"Consultant","Consultant","Brazil",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Brazil"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"17 | 212500 - 225000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":"x"}]
[null,"ID0532","2012-05-26T05:07:30",140000,140000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":220664.95808941979},"vba specialist","Specialist","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"17 | 212500 - 225000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":"x"}]
[null,"ID1825","2012-06-13T03:23:05","$214,000  USD",214000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":214000},"Assistant Corporate Controller","Controller","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"17 | 212500 - 225000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":"x"}]
[null,"ID0976","2012-05-28T07:28:07","AUD$200,000",200000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":203981.93128052715},"Corporate Finance Manager","Manager","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"4 to 6 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"16 | 200000 - 212500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":"x"}]
[null,"ID0527","2012-05-26T04:48:54",200000,200000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":200000},"COO","CXO or Top Mgmt.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"16 | 200000 - 212500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":200000}]
[null,"ID0375","2012-05-26T01:52:04",194000,194000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":194000},"director","CXO or Top Mgmt.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"15 | 187500 - 200000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":194000}]
[null,"ID1286","2012-05-29T11:51:35",192000,192000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":192000},"Publisher","CXO or Top Mgmt.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",27,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"15 | 187500 - 200000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":192000}]
[null,"ID0563","2012-05-26T06:10:08",188000,188000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":188000},"Director, Supply Chain Operations","CXO or Top Mgmt.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"15 | 187500 - 200000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":188000}]
[null,"ID0655","2012-05-26T12:23:14",10500000,10500000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":186983.12521814698},"MANAGER","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"14 | 175000 - 187500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":186983.12521814698}]
[null,"ID0007","2012-05-25T03:33:51",145000,145000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":184207.91865378313},"senior project manager","Manager","Germany",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Germany"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"14 | 175000 - 187500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":184207.91865378313}]
[null,"ID1596","2012-06-01T18:58:42",177600,177600,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":177600},"Accountant","Accountant","Lesotho",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Lesotho"},"4 to 6 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"14 | 175000 - 187500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":177600}]
[null,"ID1320","2012-05-29T15:36:42",139000,139000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":176585.52201983347},"NAF Support Manager","Manager","Germany",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Germany"},"1 or 2 hours a day",25,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"14 | 175000 - 187500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":176585.52201983347}]
[null,"ID0633","2012-05-26T11:30:39","A$170000",170000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":173384.64158844808},"senior business analyst","Analyst","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"All the 8 hours baby, all the 8!",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"13 | 162500 - 175000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":173384.64158844808}]
[null,"ID1009","2012-05-28T10:42:08",170000,170000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":173384.64158844808},"Business Consultant","Consultant","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"2 to 3 hours per day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"13 | 162500 - 175000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":173384.64158844808}]
[null,"ID0358","2012-05-26T01:42:53","170000 usd",170000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":170000},"RS","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"Excel ?!? What Excel?","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"13 | 162500 - 175000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":170000}]
[null,"ID1523","2012-05-31T05:31:54",170000,170000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":170000},"CFO","CXO or Top Mgmt.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",18,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"13 | 162500 - 175000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":170000}]
[null,"ID0482","2012-05-26T03:23:51","US$169,000",169000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":169000},"Category Director (Marketing)","CXO or Top Mgmt.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"13 | 162500 - 175000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":169000}]
[null,"ID1492","2012-05-30T20:42:47","AUD 165000",165000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":168285.09330643489},"Engineer","Engineer","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"2 to 3 hours per day",17,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"13 | 162500 - 175000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":168285.09330643489}]
[null,"ID0376","2012-05-26T01:54:28",9000000,9000000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":160271.25018698312},"Financial Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"12 | 150000 - 162500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":160271.25018698312}]
[null,"ID0608","2012-05-26T09:51:47",160000,160000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":160000},"Director, Analytics","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"12 | 150000 - 162500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":160000}]
[null,"ID1810","2012-06-12T15:09:22",156000,156000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":159105.90639881117},"Senior Associate Engineer","Engineer","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"2 to 3 hours per day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"12 | 150000 - 162500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":159105.90639881117}]
[null,"ID0569","2012-05-26T06:47:00","AUD $155,000",155000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":158085.99674240855},"Finance Manager Business Services","Manager","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"4 to 6 hours a day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"12 | 150000 - 162500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":158085.99674240855}]
[null,"ID0078","2012-05-25T23:18:45",100000,100000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":157617.8272067284},"Analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"12 | 150000 - 162500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":157617.8272067284}]
[null,"ID0844","2012-05-27T00:19:04",100000,100000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":157617.8272067284},"Financial Controller","Controller","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"12 | 150000 - 162500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":157617.8272067284}]
[null,"ID0353","2012-05-26T01:41:53",160000,160000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":157337.8436848523},"Consultant","Consultant","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"12 | 150000 - 162500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":157337.8436848523}]
[null,"ID1655","2012-06-04T09:49:44",155000,155000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":155000},"Consulting Practice Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day",14,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"12 | 150000 - 162500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":155000}]
[null,"ID1237","2012-05-29T03:16:02",150000,150000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":152986.44846039536},"Analyst","Analyst","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"2 to 3 hours per day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"12 | 150000 - 162500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":152986.44846039536}]
[null,"ID1354","2012-05-29T18:35:31","A$150000",150000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":152986.44846039536},"Bus Analyst","Analyst","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"1 or 2 hours a day",5.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"12 | 150000 - 162500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":152986.44846039536}]
[null,"ID0337","2012-05-26T01:33:45",150000,150000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":150000},"project manager, project finance consultant","Manager","Israel",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Israel"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"12 | 150000 - 162500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":150000}]
[null,"ID0963","2012-05-28T05:12:38",150000,150000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":150000},"Software Tester","Analyst","Switzerland",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Switzerland"},"1 or 2 hours a day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"12 | 150000 - 162500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":150000}]
[null,"ID0037","2012-05-25T05:07:31",150000,150000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":150000},"Portfolio Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"12 | 150000 - 162500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":150000}]
[null,"ID0083","2012-05-26T00:00:52",150000,150000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":150000},"Director","CXO or Top Mgmt.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"12 | 150000 - 162500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":150000}]
[null,"ID0335","2012-05-26T01:33:03",150000,150000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":150000},"financial planning","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"12 | 150000 - 162500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":150000}]
[null,"ID0470","2012-05-26T03:14:44",150000,150000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":150000},"CFO","CXO or Top Mgmt.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"12 | 150000 - 162500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":150000}]
[null,"ID0516","2012-05-26T04:26:10","$150000pa",150000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":150000},"Consultant","Consultant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"12 | 150000 - 162500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":150000}]
[null,"ID0580","2012-05-26T07:23:11",150000,150000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":150000},"CFO","CXO or Top Mgmt.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",22,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"12 | 150000 - 162500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":150000}]
[null,"ID0927","2012-05-27T21:21:41",150000,150000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":150000},"Controller","Controller","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",25,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"12 | 150000 - 162500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":150000}]
[null,"ID1393","2012-05-29T22:02:31",150000,150000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":150000},"VP, Business Management","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",30,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"12 | 150000 - 162500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":150000}]
[null,"ID1412","2012-05-29T23:39:13",150000,150000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":150000},"Senior Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",30,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"12 | 150000 - 162500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":150000}]
[null,"ID1473","2012-05-30T16:55:51",118000,118000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":149907.13380100971},"Support","Analyst","EU",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Europe"},"4 to 6 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"11 | 137500 - 150000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":149907.13380100971}]
[null,"ID0822","2012-05-26T22:45:14","R$3.000,00",300000,"BRL",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":148284.35006969364},"Market Intelligence Analyst","Analyst","Brazil",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Brazil"},"All the 8 hours baby, all the 8!",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"11 | 137500 - 150000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":148284.35006969364}]
[null,"ID1764","2012-06-08T22:48:39","CHF140000",140000,"CHF",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":148102.22862117883},"Projektleiter","Manager","Switzerland",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Switzerland"},"2 to 3 hours per day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"11 | 137500 - 150000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":148102.22862117883}]
[null,"ID1816","2012-06-12T20:47:33","aud145000",145000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":147886.90017838217},"Financial controller","Controller","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"2 to 3 hours per day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"11 | 137500 - 150000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":147886.90017838217}]
[null,"ID0167","2012-05-26T00:47:57",145000,145000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":145000},"Financialcontroller","Controller","Switzerland",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Switzerland"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"11 | 137500 - 150000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":145000}]
[null,"ID1528","2012-05-31T07:17:36",145000,145000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":145000},"Associate","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"11 | 137500 - 150000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":145000}]
[null,"ID1002","2012-05-28T10:21:58","NZD 180000",180000,"NZD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":143565.85684888897},"Commercial Manager","Manager","New Zealand",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"New Zealand"},"4 to 6 hours a day",25,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"11 | 137500 - 150000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":143565.85684888897}]
[null,"ID0248","2012-05-26T01:03:54",140000,140000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":140000},"Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"11 | 137500 - 150000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":140000}]
[null,"ID0565","2012-05-26T06:20:38",140000,140000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":140000},"controller","Controller","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"11 | 137500 - 150000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":140000}]
[null,"ID1296","2012-05-29T13:15:17",140000,140000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":140000},"Senior Accountant","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"11 | 137500 - 150000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":140000}]
[null,"ID1626","2012-06-02T19:14:35",140000,140000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":140000},"sr manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"11 | 137500 - 150000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":140000}]
[null,"ID0224","2012-05-26T00:57:52","US$ 138K",138000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":138000},"Project engineer","Engineer","Thailand",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Thailand"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"11 | 137500 - 150000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":138000}]
[null,"ID0323","2012-05-26T01:28:37",137500,137500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":137500},"director of analytics","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"11 | 137500 - 150000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":137500}]
[null,"ID1398","2012-05-29T22:24:28",136000,136000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":136000},"Manager FP and A","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"10 | 125000 - 137500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":136000}]
[null,"ID0339","2012-05-26T01:35:02",135000,135000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":135000},"Manager of Trade Investment & Analysis","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"10 | 125000 - 137500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":135000}]
[null,"ID0870","2012-05-27T07:19:14",135000,135000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":135000},"Director, P&A","CXO or Top Mgmt.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",25,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"10 | 125000 - 137500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":135000}]
[null,"ID0954","2012-05-28T01:47:29",135000,135000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":135000},"Marketing Insights Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"10 | 125000 - 137500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":135000}]
[null,"ID0581","2012-05-26T07:32:19",130000,130000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":132588.25533234264},"Accountant","Accountant","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"2 to 3 hours per day",27,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"10 | 125000 - 137500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":132588.25533234264}]
[null,"ID1730","2012-06-07T08:36:51",134000,134000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":131770.4440860638},"Senior Production Accountant","Accountant","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"All the 8 hours baby, all the 8!",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"10 | 125000 - 137500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":131770.4440860638}]
[null,"ID0485","2012-05-26T03:27:56","Zar 1080000",1080000,"ZAR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":131675.52225194403},"Finance manager","Manager","South africa",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"South Africa"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"10 | 125000 - 137500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":131675.52225194403}]
[null,"ID0725","2012-05-26T15:01:00","USD130000",130000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":130000},"Modeller","Manager","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"4 to 6 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"10 | 125000 - 137500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":130000}]
[null,"ID0257","2012-05-26T01:06:31",130000,130000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":130000},"Senior Project Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"10 | 125000 - 137500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":130000}]
[null,"ID0351","2012-05-26T01:40:51",130000,130000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":130000},"Sr Staff Engineer","Engineer","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"10 | 125000 - 137500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":130000}]
[null,"ID0370","2012-05-26T01:50:30",130000,130000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":130000},"Project Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"10 | 125000 - 137500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":130000}]
[null,"ID1401","2012-05-29T22:47:10",130000,130000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":130000},"Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day",25,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"10 | 125000 - 137500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":130000}]
[null,"ID0126","2012-05-26T00:42:08",128000,128000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":128000},"Actuary","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"10 | 125000 - 137500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":128000}]
[null,"ID1522","2012-05-31T05:23:58",127500,127500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":127500},"SVP","CXO or Top Mgmt.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",22,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"10 | 125000 - 137500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":127500}]
[null,"ID0978","2012-05-28T07:29:43",125000,125000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":127488.70705032947},"Director, Informatics","CXO or Top Mgmt.","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"4 to 6 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"10 | 125000 - 137500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":127488.70705032947}]
[null,"ID1475","2012-05-30T17:04:53","$AUD 125,000 +",125000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":127488.70705032947},"Financial Application Developer","Accountant","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"4 to 6 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"10 | 125000 - 137500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":127488.70705032947}]
[null,"ID1137","2012-05-28T18:38:06",100000,100000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":127039.94389916077},"Finance Director","CXO or Top Mgmt.","Spain",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Spain"},"1 or 2 hours a day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"10 | 125000 - 137500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":127039.94389916077}]
[null,"ID0909","2012-05-27T16:10:04",80000,80000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":126094.26176538273},"Financial Modeller","Accountant","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"10 | 125000 - 137500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":126094.26176538273}]
[null,"ID1085","2012-05-28T15:42:04",80000,80000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":126094.26176538273},"Manufacturing consultant","Consultant","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"10 | 125000 - 137500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":126094.26176538273}]
[null,"ID1170","2012-05-28T22:39:09","Â£80000",80000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":126094.26176538273},"Financial Controller","Controller","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"10 | 125000 - 137500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":126094.26176538273}]
[null,"ID1600","2012-06-01T19:57:45","Â£80000",80000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":126094.26176538273},"Owner of Business Improvement Consultancy","Consultant","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"10 | 125000 - 137500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":126094.26176538273}]
[null,"ID0871","2012-05-27T08:07:40","125 $",125000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":125000},"Project controls manager","Manager","Norway",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Norway"},"4 to 6 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"10 | 125000 - 137500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":125000}]
[null,"ID0887","2012-05-27T13:29:52","$125000 / a excl bonus",125000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":125000},"Commercial Director","CXO or Top Mgmt.","South Africa",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"South Africa"},"4 to 6 hours a day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"10 | 125000 - 137500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":125000}]
[null,"ID0091","2012-05-26T00:39:36",125000,125000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":125000},"Director of Marketing","CXO or Top Mgmt.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"10 | 125000 - 137500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":125000}]
[null,"ID0314","2012-05-26T01:25:30",125000,125000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":125000},"Finance, Manager ","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"10 | 125000 - 137500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":125000}]
[null,"ID0461","2012-05-26T03:06:16",125000,125000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":125000},"Prod Mgr","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"10 | 125000 - 137500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":125000}]
[null,"ID0634","2012-05-26T11:31:08",125000,125000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":125000},"Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"10 | 125000 - 137500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":125000}]
[null,"ID0991","2012-05-28T08:48:56",125000,125000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":125000},"VP, Operational Analytics","CXO or Top Mgmt.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"10 | 125000 - 137500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":125000}]
[null,"ID1355","2012-05-29T18:38:51",125000,125000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":125000},"Vice President of Performance Management","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"10 | 125000 - 137500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":125000}]
[null,"ID1364","2012-05-29T19:12:19",125000,125000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":125000},"Finance Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",25,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"10 | 125000 - 137500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":125000}]
[null,"ID1558","2012-05-31T22:05:03",125000,125000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":125000},"Consultant","Consultant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"10 | 125000 - 137500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":125000}]
[null,"ID1778","2012-06-10T12:31:48",125000,125000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":125000},"project manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"10 | 125000 - 137500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":125000}]
[null,"ID1103","2012-05-28T16:21:27",79000,79000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":124518.08349331544},"Market Analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day",14,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"09 | 112500 - 125000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":124518.08349331544}]
[null,"ID0514","2012-05-26T04:20:17",78000,78000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":122941.90522124816},"Associate","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"09 | 112500 - 125000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":122941.90522124816}]
[null,"ID0989","2012-05-28T08:41:13",120000,120000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":122389.15876831629},"analyst","Analyst","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"09 | 112500 - 125000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":122389.15876831629}]
[null,"ID0995","2012-05-28T09:26:10",120000,120000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":122389.15876831629},"HSLP Data Analyst","Analyst","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"09 | 112500 - 125000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":122389.15876831629}]
[null,"ID1587","2012-06-01T10:55:27","AU $120000",120000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":122389.15876831629},"Reporting Analyst","Analyst","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"2 to 3 hours per day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"09 | 112500 - 125000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":122389.15876831629}]
[null,"ID1901","2012-06-19T07:59:00",120000,120000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":122389.15876831629},"Manager","Manager","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"1 or 2 hours a day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"09 | 112500 - 125000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":122389.15876831629}]
[null,"ID0535","2012-05-26T05:18:12","120k",120000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":120000},"manager","Manager","nz",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"New Zealand"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"09 | 112500 - 125000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":120000}]
[null,"ID1262","2012-05-29T08:25:51","120,000  US$",120000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":120000},"Consultant - Process Improvement","Consultant","Singapore",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Singapore"},"1 or 2 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"09 | 112500 - 125000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":120000}]
[null,"ID0084","2012-05-26T00:05:45",120000,120000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":120000},"Manager, Forecasts & Budgets","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"09 | 112500 - 125000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":120000}]
[null,"ID0440","2012-05-26T02:39:56",120000,120000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":120000},"Director","CXO or Top Mgmt.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"09 | 112500 - 125000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":120000}]
[null,"ID0554","2012-05-26T05:48:10",120000,120000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":120000},"Director","CXO or Top Mgmt.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"09 | 112500 - 125000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":120000}]
[null,"ID0592","2012-05-26T08:08:43",120000,120000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":120000},"Sr. Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"09 | 112500 - 125000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":120000}]
[null,"ID1385","2012-05-29T21:42:44",120000,120000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":120000},"Finance Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"09 | 112500 - 125000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":120000}]
[null,"ID1417","2012-05-30T00:25:43",120000,120000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":120000},"Finance Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"09 | 112500 - 125000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":120000}]
[null,"ID1830","2012-06-13T06:19:24",120000,120000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":120000},"Financial Modeler","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"09 | 112500 - 125000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":120000}]
[null,"ID1115","2012-05-28T17:02:43",75000,75000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":118213.37040504631},"Management Consultant","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"09 | 112500 - 125000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":118213.37040504631}]
[null,"ID1240","2012-05-29T03:51:28",75000,75000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":118213.37040504631},"Finance Manager","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"09 | 112500 - 125000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":118213.37040504631}]
[null,"ID1843","2012-06-14T12:27:30",118000,118000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":118000},"AVP","CXO or Top Mgmt.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"09 | 112500 - 125000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":118000}]
[null,"ID0746","2012-05-26T16:10:08",74000,74000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":116637.19213297902},"Corporate Finance Manager","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"09 | 112500 - 125000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":116637.19213297902}]
[null,"ID0538","2012-05-26T05:23:20","73,000 GBP",73000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":115061.01386091174},"Finance Manager","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"09 | 112500 - 125000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":115061.01386091174}]
[null,"ID1739","2012-06-07T20:48:04","Â£73000",73000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":115061.01386091174},"Financial Controller","Controller","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"09 | 112500 - 125000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":115061.01386091174}]
[null,"ID0418","2012-05-26T02:17:38","US$115000",115000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":115000},"Consultant","Consultant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"09 | 112500 - 125000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":115000}]
[null,"ID0586","2012-05-26T07:50:50",115000,115000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":115000},"Mgr Op Excellence","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"09 | 112500 - 125000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":115000}]
[null,"ID0873","2012-05-27T08:55:36",115000,115000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":115000},"Principal Financial Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"09 | 112500 - 125000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":115000}]
[null,"ID1922","2012-06-20T05:03:44",115000,115000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":115000},"Business Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"09 | 112500 - 125000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":115000}]
[null,"ID1147","2012-05-28T19:25:35",90000,90000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":114335.9495092447},"Management Information Manager","Manager","Continental Europe",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"CEE"},"2 to 3 hours per day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"09 | 112500 - 125000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":114335.9495092447}]
[null,"ID1867","2012-06-15T20:50:49","EUR 90000",90000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":114335.9495092447},"Controller","Controller","mainland Europe (Euro zone)",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Europe"},"2 to 3 hours per day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"09 | 112500 - 125000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":114335.9495092447}]
[null,"ID0232","2012-05-26T00:59:09",114000,114000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":114000},"Director","CXO or Top Mgmt.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"09 | 112500 - 125000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":114000}]
[null,"ID0983","2012-05-28T07:59:49",110000,110000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":112190.06220428993},"Sustainability Strategy Advisor","Manager","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"2 to 3 hours per day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":112190.06220428993}]
[null,"ID1264","2012-05-29T08:41:14",110000,110000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":112190.06220428993},"Analyst","Analyst","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"2 to 3 hours per day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":112190.06220428993}]
[null,"ID1865","2012-06-15T18:13:12",112000,112000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":112000},"manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":112000}]
[null,"ID0181","2012-05-26T00:49:59",111680,111680,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":111680},"Director of Analytics","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":111680}]
[null,"ID0553","2012-05-26T05:46:42",111000,111000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":111000},"Senior Financial Analyst","Analyst","Japan",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Japan"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":111000}]
[null,"ID1434","2012-05-30T02:22:59",111000,111000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":111000},"Project Manager - Finance","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":111000}]
[null,"ID0134","2012-05-26T00:43:03",70000,70000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":110332.47904470989},"Project Manager","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":110332.47904470989}]
[null,"ID1348","2012-05-29T18:05:50","Â£70000",70000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":110332.47904470989},"Consultant","Consultant","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":110332.47904470989}]
[null,"ID0484","2012-05-26T03:25:57",110000,110000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":110000},"Senior consultant accounting","Accountant","Norway",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Norway"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":110000}]
[null,"ID1556","2012-05-31T21:47:37",110000,110000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":110000},"Business Controller","Controller","Norway",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Norway"},"All the 8 hours baby, all the 8!",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":110000}]
[null,"ID0087","2012-05-26T00:15:17",110000,110000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":110000},"Senior Scheduling Engineer","Engineer","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":110000}]
[null,"ID1361","2012-05-29T19:08:37",110000,110000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":110000},"Business Analytics Associate","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":110000}]
[null,"ID1919","2012-06-20T02:31:52",110000,110000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":110000},"Vice President - Finance","CXO or Top Mgmt.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":110000}]
[null,"ID0804","2012-05-26T21:24:39","ZAR900,000",900000,"ZAR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":109729.60187662003},"Business Analyst","Analyst","South Africa",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"South Africa"},"All the 8 hours baby, all the 8!",40,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":109729.60187662003}]
[null,"ID0987","2012-05-28T08:35:32","A$107000",107000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":109130.33323508203},"Management Accountant","Manager","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"4 to 6 hours a day",35,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":109130.33323508203}]
[null,"ID1484","2012-05-30T19:04:44",109000,109000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":109000},"Mgr Technology","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":109000}]
[null,"ID0446","2012-05-26T02:48:32",110000,110000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":108169.76753333595},"Continuos improvment","Controller","Canad",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":108169.76753333595}]
[null,"ID0209","2012-05-26T00:54:16",108160,108160,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":108160},"Sr. Financial Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":108160}]
[null,"ID0588","2012-05-26T07:57:04",106000,106000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":108110.42357867939},"Pricing and Strategy Specialist","Specialist","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"4 to 6 hours a day",16,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":108110.42357867939}]
[null,"ID0496","2012-05-26T03:48:42","USD 108,000",108000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":108000},"Manager","Manager","Norway",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Norway"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":108000}]
[null,"ID0331","2012-05-26T01:31:58",108000,108000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":108000},"Database Architect","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":108000}]
[null,"ID0596","2012-05-26T08:43:07",108000,108000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":108000},"Technology consultant ","Consultant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":108000}]
[null,"ID0017","2012-05-25T04:10:11",107000,107000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":107000},"Business Development","Manager","Switzerland",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Switzerland"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":107000}]
[null,"ID1266","2012-05-29T08:59:41",107000,107000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":107000},"Certified Public Accountant","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":107000}]
[null,"ID1418","2012-05-30T00:34:53",107000,107000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":107000},"Tax Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",29,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":107000}]
[null,"ID1213","2012-05-29T00:26:21","DKK 625000",625000,"DKK",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":106815.148267971},"Manager Business Controlling","Manager","Denmark",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Denmark"},"4 to 6 hours a day",25,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":106815.148267971}]
[null,"ID1637","2012-06-03T04:42:54",106000,106000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":106000},"IT Developer","Analyst","Denmark",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Denmark"},"1 or 2 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":106000}]
[null,"ID0166","2012-05-26T00:47:50",107000,107000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":105219.68296424497},"Manager, Asset Optimization","Manager","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":105219.68296424497}]
[null,"ID0677","2012-05-26T13:01:44",105000,105000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":105000},"Senior Consultant","Consultant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":105000}]
[null,"ID0930","2012-05-27T21:49:55",105000,105000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":105000},"business analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":105000}]
[null,"ID1357","2012-05-29T18:55:20",105000,105000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":105000},"Director of Technology","CXO or Top Mgmt.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":105000}]
[null,"ID1534","2012-05-31T10:37:38",105000,105000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":105000},"Business Banker","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day",30,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":105000}]
[null,"ID1197","2012-05-28T23:25:32","82.000 Euro (pre-tax)",82000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":104172.75399731184},"Finance Project Manager","Manager","Netherlands",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Netherlands"},"All the 8 hours baby, all the 8!",25,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":104172.75399731184}]
[null,"ID0585","2012-05-26T07:48:29",102000,102000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":104030.78495306884},"coordinator lismore regional airport","Manager","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"1 or 2 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":104030.78495306884}]
[null,"ID0419","2012-05-26T02:18:03","Â£66000",66000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":104027.76595644075},"IT Project Manager, EMEA","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":104027.76595644075}]
[null,"ID0143","2012-05-26T00:43:49",104000,104000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":104000},"Finance Director","CXO or Top Mgmt.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":104000}]
[null,"ID0525","2012-05-26T04:44:26",104000,104000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":104000},"Vice President, Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":104000}]
[null,"ID0270","2012-05-26T01:09:32",103000,103000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":103000},"VP / Credit Administrator","CXO or Top Mgmt.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":103000}]
[null,"ID1379","2012-05-29T21:25:03",103000,103000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":103000},"Controller","Controller","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",22,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":103000}]
[null,"ID1890","2012-06-18T05:42:18",600000,600000,"DKK",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":102542.54233725216},"Engineer","Engineer","DK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Denmark"},"2 to 3 hours per day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":102542.54233725216}]
[null,"ID0433","2012-05-26T02:33:10","Â£65000",65000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":102451.58768437347},"Financial Controller","Controller","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":102451.58768437347}]
[null,"ID0748","2012-05-26T16:16:39",65000,65000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":102451.58768437347},"compliance manager","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":102451.58768437347}]
[null,"ID0916","2012-05-27T17:17:24","Â£65000",65000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":102451.58768437347},"Manager","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"1 or 2 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":102451.58768437347}]
[null,"ID1445","2012-05-30T10:57:38",8500,102000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":102000},"Sales Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":102000}]
[null,"ID0073","2012-05-25T22:59:05","$AUD100000",100000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":101990.96564026357},"technical trainer","Manager","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":101990.96564026357}]
[null,"ID0609","2012-05-26T09:52:22",100000,100000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":101990.96564026357},"Purchasing Manager","Manager","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"2 to 3 hours per day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":101990.96564026357}]
[null,"ID0626","2012-05-26T11:05:45",100000,100000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":101990.96564026357},"Business Analyst","Analyst","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"All the 8 hours baby, all the 8!",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":101990.96564026357}]
[null,"ID0681","2012-05-26T13:03:58",100000,100000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":101990.96564026357},"principal developer","Manager","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"1 or 2 hours a day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":101990.96564026357}]
[null,"ID0969","2012-05-28T06:35:50",100000,100000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":101990.96564026357},"Senior Consultant","Consultant","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"All the 8 hours baby, all the 8!",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":101990.96564026357}]
[null,"ID0994","2012-05-28T09:21:56",100000,100000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":101990.96564026357},"Reporting Analyst","Analyst","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"4 to 6 hours a day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":101990.96564026357}]
[null,"ID1268","2012-05-29T09:25:31",100000,100000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":101990.96564026357},"Contractor/Consultant","Consultant","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"4 to 6 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":101990.96564026357}]
[null,"ID1356","2012-05-29T18:55:18",100000,100000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":101990.96564026357},"Principal advisor","Consultant","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"1 or 2 hours a day",30,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":101990.96564026357}]
[null,"ID1584","2012-06-01T07:22:36",100000,100000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":101990.96564026357},"Management Accountant","Manager","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"4 to 6 hours a day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":101990.96564026357}]
[null,"ID0918","2012-05-27T18:19:31",64210.1,64210,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":101206.40684944032},"HR Advisor - Systems & MI","Consultant","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",16,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":101206.40684944032}]
[null,"ID1928","2012-06-20T20:58:23",8400,100800,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":100800},"AVP","CXO or Top Mgmt.","Oman",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Oman"},"4 to 6 hours a day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":100800}]
[null,"ID1585","2012-06-01T08:06:34","5.65 lac per annum",5650000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":100614.72928405051},"MIS","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":100614.72928405051}]
[null,"ID0050","2012-05-25T06:04:57","100000 USD",100000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":100000},"Seinor Financial Analyst","Analyst","Germany",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Germany"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":100000}]
[null,"ID0893","2012-05-27T13:52:53","100,000 usd",100000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":100000},"Director","CXO or Top Mgmt.","MÃ©xico",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Mexico"},"All the 8 hours baby, all the 8!",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":100000}]
[null,"ID1235","2012-05-29T02:26:28","100000 USD",100000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":100000},"Controller","Controller","Norway",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Norway"},"4 to 6 hours a day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":100000}]
[null,"ID1723","2012-06-06T21:18:51",100000,100000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":100000},"financial analyst (real estate)","Analyst","Russia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Russia"},"All the 8 hours baby, all the 8!",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":100000}]
[null,"ID0070","2012-05-25T07:47:00",100000,100000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":100000},"Mngr MI","Manager","RSA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"South Africa"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":100000}]
[null,"ID1382","2012-05-29T21:29:36",100000,100000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":100000},"Vice Head of Dpt in Education","CXO or Top Mgmt.","Sweden",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Sweden"},"2 to 3 hours per day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":100000}]
[null,"ID1884","2012-06-17T04:02:00","US$100,000",100000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":100000},"Senior Manager MIS","Manager","UAE",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UAE"},"All the 8 hours baby, all the 8!",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":100000}]
[null,"ID1305","2012-05-29T13:58:30","US$ 100,000",100000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":100000},"Business Analyst","Analyst","Uganda",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Uganda"},"4 to 6 hours a day",17,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":100000}]
[null,"ID0346","2012-05-26T01:38:51","100,000 US$ equiv",100000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":100000},"Senior Data Analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":100000}]
[null,"ID0158","2012-05-26T00:45:49",100000,100000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":100000},"COST ACCOUNTANT","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":100000}]
[null,"ID0204","2012-05-26T00:53:42",100000,100000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":100000},"Strategic Sourcing Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":100000}]
[null,"ID0215","2012-05-26T00:55:06",100000,100000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":100000},"Director of Finance","CXO or Top Mgmt.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":100000}]
[null,"ID0397","2012-05-26T02:04:01",100000,100000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":100000},"Sales Operations Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":100000}]
[null,"ID0505","2012-05-26T04:05:08",100000,100000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":100000},"Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":100000}]
[null,"ID0524","2012-05-26T04:41:20",100000,100000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":100000},"Director","CXO or Top Mgmt.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":100000}]
[null,"ID0829","2012-05-26T23:04:02",100000,100000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":100000},"director","CXO or Top Mgmt.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":100000}]
[null,"ID1227","2012-05-29T01:44:03",100000,100000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":100000},"Finance Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",11,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":100000}]
[null,"ID1374","2012-05-29T20:20:21","$100,000 US",100000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":100000},"Senior Financial Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":100000}]
[null,"ID1643","2012-06-03T12:27:07",100000,100000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":100000},"Consultant","Consultant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":100000}]
[null,"ID1799","2012-06-12T00:26:07",100000,100000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":100000},"analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"08 | 100000 - 112500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":100000}]
[null,"ID1086","2012-05-28T15:44:12","Â£63000",63000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":99299.231140238902},"Business Improvement Specialist","Specialist","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":99299.231140238902}]
[null,"ID0394","2012-05-26T02:02:02","99147 $",99147,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":99147},"Chief Specialist of Economics & Planning","Specialist","Russia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Russia"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":99147}]
[null,"ID0198","2012-05-26T00:52:37","US$ 99000",99000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":99000},"Business Controller","Controller","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":99000}]
[null,"ID0275","2012-05-26T01:10:55",99000,99000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":99000},"Business Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":99000}]
[null,"ID0239","2012-05-26T01:02:10",100000,100000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":98336.152303032693},"retail buyer","Manager","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":98336.152303032693}]
[null,"ID0793","2012-05-26T20:27:19",100000,100000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":98336.152303032693},"VP Infrastructure","CXO or Top Mgmt.","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":98336.152303032693}]
[null,"ID0852","2012-05-27T02:33:22",100000,100000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":98336.152303032693},"Marketing Manager","Manager","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"2 to 3 hours per day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":98336.152303032693}]
[null,"ID0868","2012-05-27T06:37:13",98000,98000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":98000},"supply chain manager","Manager","indonesia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Indonesia"},"2 to 3 hours per day",14,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":98000}]
[null,"ID0290","2012-05-26T01:17:57",97000,97000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":97000},"business analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":97000}]
[null,"ID1387","2012-05-29T21:46:28","97,000 USD",97000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":97000},"Sr. Manager of Finance","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",14,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":97000}]
[null,"ID0769","2012-05-26T17:31:56","95000 AUD",95000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":96891.417358250401},"Data Analyst - Report Writer","Analyst","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"2 to 3 hours per day",11,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":96891.417358250401}]
[null,"ID0922","2012-05-27T20:18:50","95000 AUD",95000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":96891.417358250401},"Senior Marketing Analyst","Analyst","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"1 or 2 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":96891.417358250401}]
[null,"ID0965","2012-05-28T05:48:56",95000,95000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":96891.417358250401},"financial analyst","Analyst","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"2 to 3 hours per day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":96891.417358250401}]
[null,"ID1443","2012-05-30T10:11:19",96230,96230,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":96230},"Manager, Data Management","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",18,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":96230}]
[null,"ID0795","2012-05-26T20:50:07",96000,96000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":96000},"MIS Executive","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":96000}]
[null,"ID0249","2012-05-26T01:04:13","US$ 96k",96000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":96000},"Freellance","Consultant","Poland",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Poland"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":96000}]
[null,"ID0022","2012-05-25T04:24:12",96000,96000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":96000},"Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":96000}]
[null,"ID0152","2012-05-26T00:44:59",96000,96000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":96000},"Specialist - Finance Planning and Analysis","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":96000}]
[null,"ID0194","2012-05-26T00:51:59",96000,96000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":96000},"Business Process Specialist","Specialist","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":96000}]
[null,"ID0986","2012-05-28T08:26:43",94000,94000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":95871.50770184776},"Business Analyst","Analyst","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"2 to 3 hours per day",2.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":95871.50770184776}]
[null,"ID1008","2012-05-28T10:41:38",94000,94000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":95871.50770184776},"Principal Analyst","Analyst","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"2 to 3 hours per day",14,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":95871.50770184776}]
[null,"ID1219","2012-05-29T00:47:17",95856,95856,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":95856},"Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",13,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":95856}]
[null,"ID0955","2012-05-28T02:25:13",75000,75000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":95279.957924370581},"Risk analyst","Analyst","Netherlands",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Netherlands"},"4 to 6 hours a day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":95279.957924370581}]
[null,"ID1331","2012-05-29T16:31:06",75000,75000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":95279.957924370581},"Financial Analyst","Analyst","Netherlands",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Netherlands"},"All the 8 hours baby, all the 8!",16,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":95279.957924370581}]
[null,"ID0568","2012-05-26T06:46:03","95000 USD",95000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":95000},"Business Analyst","Analyst","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"2 to 3 hours per day",11,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":95000}]
[null,"ID0536","2012-05-26T05:18:27","US$95K",95000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":95000},"Director of Supply Chain","CXO or Top Mgmt.","Central America",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Central America"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":95000}]
[null,"ID0095","2012-05-26T00:40:20",95000,95000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":95000},"CFO","CXO or Top Mgmt.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":95000}]
[null,"ID0233","2012-05-26T00:59:27",95000,95000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":95000},"VP - Procurment","CXO or Top Mgmt.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":95000}]
[null,"ID0344","2012-05-26T01:38:06",95000,95000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":95000},"Senior Financial Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":95000}]
[null,"ID0381","2012-05-26T01:58:42",95000,95000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":95000},"Senior Financial Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":95000}]
[null,"ID0531","2012-05-26T05:04:49",95000,95000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":95000},"Process Design Consultant","Consultant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":95000}]
[null,"ID0627","2012-05-26T11:05:58",95000,95000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":95000},"Program Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":95000}]
[null,"ID0815","2012-05-26T22:22:58",95000,95000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":95000},"Business Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",13,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":95000}]
[null,"ID1376","2012-05-29T20:53:43",95000,95000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":95000},"Cost Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":95000}]
[null,"ID1400","2012-05-29T22:35:17",95000,95000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":95000},"Stress Engineer","Engineer","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",14,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":95000}]
[null,"ID1514","2012-05-31T01:50:26",95000,95000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":95000},"Sr Financial Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":95000}]
[null,"ID0260","2012-05-26T01:07:18","Â£60000",60000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":94570.696324037053},"Decision Analyst & Modeller","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":94570.696324037053}]
[null,"ID0380","2012-05-26T01:58:19","Â£60000",60000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":94570.696324037053},"Managing Director","CXO or Top Mgmt.","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":94570.696324037053}]
[null,"ID0450","2012-05-26T02:53:48","Â£60000",60000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":94570.696324037053},"Excel Consultant","Consultant","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":94570.696324037053}]
[null,"ID1388","2012-05-29T21:48:13","60000 $",60000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":94570.696324037053},"Analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":94570.696324037053}]
[null,"ID1634","2012-06-03T02:06:44","Â£60000",60000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":94570.696324037053},"Data Analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":94570.696324037053}]
[null,"ID0993","2012-05-28T09:12:27",92000,92000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":93831.688389042494},"Finance analyst","Analyst","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"All the 8 hours baby, all the 8!",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":93831.688389042494}]
[null,"ID0486","2012-05-26T03:30:42","GB Sterling 59k",59000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":92994.518051969761},"Health and safety advisor","Consultant","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":92994.518051969761}]
[null,"ID0854","2012-05-27T03:06:02",92500,92500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":92500},"Dir of Analytics","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":92500}]
[null,"ID0146","2012-05-26T00:44:15",92000,92000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":92000},"Senior Financial & Systems Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":92000}]
[null,"ID0176","2012-05-26T00:49:18",92000,92000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":92000},"Industrial Engineer (Fed)","Engineer","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":92000}]
[null,"ID0329","2012-05-26T01:31:26",92000,92000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":92000},"Sales Analytics Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":92000}]
[null,"ID0480","2012-05-26T03:21:55",92000,92000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":92000},"principal engineer","Engineer","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":92000}]
[null,"ID1431","2012-05-30T02:18:02","92000 USD",92000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":92000},"Controller","Controller","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",9,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":92000}]
[null,"ID1668","2012-06-04T23:00:10",92000,92000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":92000},"BI director","Reporting","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":92000}]
[null,"ID1698","2012-06-05T22:44:27",92000,92000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":92000},"Anallyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",9,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":92000}]
[null,"ID0966","2012-05-28T05:51:10","AUD90000",90000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":91791.869076237213},"Senior Research Analyst","Analyst","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"4 to 6 hours a day",13,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":91791.869076237213}]
[null,"ID1263","2012-05-29T08:41:02",90000,90000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":91791.869076237213},"Business Analyst","Analyst","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":91791.869076237213}]
[null,"ID1782","2012-06-10T17:21:08",72000,72000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":91468.759607395754},"regional sales manager","Manager","croatia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Croatia"},"1 or 2 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":91468.759607395754}]
[null,"ID0503","2012-05-26T04:01:59",58000,58000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":91418.339779902482},"Business Modeller","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":91418.339779902482}]
[null,"ID1102","2012-05-28T16:20:52",58000,58000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":91418.339779902482},"Data analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"All the 8 hours baby, all the 8!",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":91418.339779902482}]
[null,"ID0097","2012-05-26T00:40:31","91,000 USD",91000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":91000},"Channel Marketing Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":91000}]
[null,"ID0187","2012-05-26T00:50:41",92000,92000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":90469.260118790073},"Consultant - Retail Mkts","Consultant","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":90469.260118790073}]
[null,"ID1242","2012-05-29T04:08:45",71000,71000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":90198.36016840415},"Consultant","Consultant","Germany",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Germany"},"1 or 2 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":90198.36016840415}]
[null,"ID0045","2012-05-25T05:45:01",90000,90000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":90000},"Scientist","Misc.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":90000}]
[null,"ID0102","2012-05-26T00:40:46",90000,90000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":90000},"Product Specialist","Specialist","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":90000}]
[null,"ID0156","2012-05-26T00:45:17","90000 USD",90000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":90000},"Senior Data Quality Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":90000}]
[null,"ID0200","2012-05-26T00:53:00",90000,90000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":90000},"Project Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":90000}]
[null,"ID0244","2012-05-26T01:03:07",90000,90000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":90000},"Manager Business Control","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":90000}]
[null,"ID0422","2012-05-26T02:19:52",90000,90000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":90000},"Financial Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":90000}]
[null,"ID0435","2012-05-26T02:34:37",90000,90000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":90000},"senior analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":90000}]
[null,"ID0573","2012-05-26T06:54:40",90000,90000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":90000},"Sales Operations Supervisor","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":90000}]
[null,"ID0579","2012-05-26T07:18:57",90000,90000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":90000},"Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":90000}]
[null,"ID0602","2012-05-26T08:56:13","90 k",90000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":90000},"Operations","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":90000}]
[null,"ID1138","2012-05-28T18:39:19",90000,90000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":90000},"Performance manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":90000}]
[null,"ID1222","2012-05-29T01:12:28",90000,90000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":90000},"Senior Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",30,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":90000}]
[null,"ID1564","2012-05-31T23:48:36","USD90,000",90000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":90000},"Operationsl Regional Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",25,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":90000}]
[null,"ID1692","2012-06-05T20:43:21",90000,90000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":90000},"Senior QA Tester","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":90000}]
[null,"ID0426","2012-05-26T02:24:24",5900,70800,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":89944.280280605832},"Excel trainer","Analyst","Finland",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Finland"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":89944.280280605832}]
[null,"ID0367","2012-05-26T01:49:56",89000,89000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":89000},"Quality Assurance Officer","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":89000}]
[null,"ID1519","2012-05-31T03:07:09",89000,89000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":89000},"Finance Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":89000}]
[null,"ID1529","2012-05-31T08:20:03",89000,89000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":89000},"BI Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",14,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":89000}]
[null,"ID1563","2012-05-31T23:10:44","70000 â‚¬",70000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":88927.960729412545},"Specialist Learning Technology","Specialist","Germany",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Germany"},"1 or 2 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":88927.960729412545}]
[null,"ID1150","2012-05-28T20:05:20","â‚¬70k",70000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":88927.960729412545},"Construction Planner","Consultant","Ireland",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Ireland"},"2 to 3 hours per day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":88927.960729412545}]
[null,"ID0171","2012-05-26T00:48:46",90000,90000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":88502.537072729421},"Senior Actuarial Analyst","Analyst","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":88502.537072729421}]
[null,"ID0147","2012-05-26T00:44:18",88000,88000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":88000},"project manager - metrics","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":88000}]
[null,"ID1198","2012-05-28T23:33:59",88000,88000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":88000},"Manager, Strategy & Insights","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":88000}]
[null,"ID1413","2012-05-29T23:44:26",88000,88000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":88000},"Manager, Financial Planning & Analysis","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",21,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":88000}]
[null,"ID1744","2012-06-08T02:27:13",88000,88000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":88000},"Senior Fiancial Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":88000}]
[null,"ID1684","2012-06-05T10:43:34",110000,110000,"NZD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":87734.690296543267},"Enterprise Portfolio Manager","Manager","New Zealand",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"New Zealand"},"4 to 6 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":87734.690296543267}]
[null,"ID1456","2012-05-30T13:31:35",86000,86000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":87712.230450626681},"data analyst","Analyst","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"07 | 87500 - 100000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":87712.230450626681}]
[null,"ID0876","2012-05-27T10:13:27",87456,87456,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":87456},"qa team supervisor ","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":87456}]
[null,"ID1807","2012-06-12T08:36:15",87000,87000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":87000},"Ð˜Ð¨ Ð¤Ñ‚Ñ„Ð´Ð½Ñ‹Ðµ","Misc.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":87000}]
[null,"ID0067","2012-05-25T07:25:12",85000,85000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":86692.320794224041},"head of data","CXO or Top Mgmt.","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":86692.320794224041}]
[null,"ID0543","2012-05-26T05:28:46",85000,85000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":86692.320794224041},"Business analyst","Analyst","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":86692.320794224041}]
[null,"ID0623","2012-05-26T11:03:02","A$85000",85000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":86692.320794224041},"Trainer","Consultant","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"1 or 2 hours a day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":86692.320794224041}]
[null,"ID1537","2012-05-31T13:25:49","85,000 AUD",85000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":86692.320794224041},"Demand Planner","Analyst","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"1 or 2 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":86692.320794224041}]
[null,"ID1586","2012-06-01T08:52:31",85000,85000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":86692.320794224041},"Administrator","Analyst","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"4 to 6 hours a day",30,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":86692.320794224041}]
[null,"ID0820","2012-05-26T22:43:11","Â£55000",55000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":86689.804963700633},"Financial controller","Controller","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":86689.804963700633}]
[null,"ID1087","2012-05-28T15:47:46","Â£55000",55000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":86689.804963700633},"Finance Director","CXO or Top Mgmt.","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day",22,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":86689.804963700633}]
[null,"ID0522","2012-05-26T04:39:11",87550,87550,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":86093.301341305123},"Manager","Manager","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":86093.301341305123}]
[null,"ID1650","2012-06-03T19:40:18",86000,86000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":86000},"Analyst","Analyst","Philippines",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Philippines"},"All the 8 hours baby, all the 8!",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":86000}]
[null,"ID1659","2012-06-04T13:30:51",84000,84000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":85672.4111378214},"consultant","Consultant","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"4 to 6 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":85672.4111378214}]
[null,"ID0468","2012-05-26T03:11:44",87000,87000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":85552.452503638444},"Business Manager","Manager","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":85552.452503638444}]
[null,"ID1543","2012-05-31T16:25:24",320000,320000,"SAR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":85333.333333333328},"Merchandise Planning Manager","Manager","Saudi Arabia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Saudi Arabia"},"2 to 3 hours per day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":85333.333333333328}]
[null,"ID0068","2012-05-25T07:29:12",85087,85087,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":85087},"Business Systems Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":85087}]
[null,"ID0985","2012-05-28T08:22:44","USD 85000.00",85000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":85000},"Reporting and DB Analyist","Reporting","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"4 to 6 hours a day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":85000}]
[null,"ID1283","2012-05-29T11:00:32",85000,85000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":85000},"manager operation","Manager","srilanka",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Sri Lanka"},"All the 8 hours baby, all the 8!",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":85000}]
[null,"ID0117","2012-05-26T00:41:35",85000,85000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":85000},"Financial Controller","Controller","UAE",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UAE"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":85000}]
[null,"ID0015","2012-05-25T03:53:22",85000,85000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":85000},"Project Engineer","Engineer","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":85000}]
[null,"ID0065","2012-05-25T07:20:08",85000,85000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":85000},"Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":85000}]
[null,"ID0111","2012-05-26T00:41:16","$85,000+",85000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":85000},"Strategic Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":85000}]
[null,"ID0308","2012-05-26T01:23:43",85000,85000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":85000},"Plant Controller","Controller","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":85000}]
[null,"ID0365","2012-05-26T01:49:19",85000,85000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":85000},"Sr. Financial Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":85000}]
[null,"ID0399","2012-05-26T02:05:06",85000,85000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":85000},"ENGINEER","Engineer","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":85000}]
[null,"ID0806","2012-05-26T21:27:17",85000,85000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":85000},"Director, IT/Operations","CXO or Top Mgmt.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":85000}]
[null,"ID0840","2012-05-27T00:02:45",85000,85000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":85000},"actuary","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":85000}]
[null,"ID1248","2012-05-29T05:08:57","85000 USD",85000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":85000},"Senior Executive Compensation Analyst ","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":85000}]
[null,"ID1381","2012-05-29T21:28:07",85000,85000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":85000},"Senior Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",17,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":85000}]
[null,"ID1384","2012-05-29T21:38:10",85000,85000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":85000},"energy engineer","Engineer","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",25,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":85000}]
[null,"ID1483","2012-05-30T19:01:20",85000,85000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":85000},"sr analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",9,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":85000}]
[null,"ID1583","2012-06-01T06:53:52",85000,85000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":85000},"Sr Report Developer","Reporting","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":85000}]
[null,"ID1620","2012-06-02T07:42:02",85000,85000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":85000},"Senior Accountant","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":85000}]
[null,"ID1669","2012-06-04T23:18:41",85000,85000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":85000},"Sr Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":85000}]
[null,"ID1694","2012-06-05T21:33:47",85000,85000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":85000},"Financial Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":85000}]
[null,"ID1751","2012-06-08T09:46:59",85000,85000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":85000},"Actuary","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":85000}]
[null,"ID1775","2012-06-10T02:20:05",85000,85000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":85000},"purchasing manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":85000}]
[null,"ID1809","2012-06-12T12:15:46",85000,85000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":85000},"Lead Financial Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":85000}]
[null,"ID1852","2012-06-15T02:30:11","US$ 85000",85000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":85000},"Chief Financial Officer","CXO or Top Mgmt.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":85000}]
[null,"ID0498","2012-05-26T03:50:24",84000,84000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":84000},"Senior Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":84000}]
[null,"ID0743","2012-05-26T15:59:44","66000 â‚¬",66000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":83846.362973446114},"Logistics Analyst","Analyst","germany",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Germany"},"4 to 6 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":83846.362973446114}]
[null,"ID0256","2012-05-26T01:06:12",4390,52680,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":83033.071372504521},"Excel Consultant","Consultant","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":83033.071372504521}]
[null,"ID1383","2012-05-29T21:33:42","$83000 USD ",83000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":83000},"Senior Planning Analyst","Analyst","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"4 to 6 hours a day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":83000}]
[null,"ID1638","2012-06-03T07:16:47","485000 DKK",485000,"DKK",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":82888.5550559455},"Controller","Controller","Denmark",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Denmark"},"4 to 6 hours a day",18,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":82888.5550559455}]
[null,"ID0305","2012-05-26T01:22:48","65000 euro",65000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":82575.963534454509},"controller","Controller","germany",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Germany"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":82575.963534454509}]
[null,"ID0530","2012-05-26T05:00:21",82300,82300,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":82300},"Manager - Finance","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":82300}]
[null,"ID1325","2012-05-29T15:51:21","82000 USD",82000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":82000},"Consultant","Consultant","South Africa",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"South Africa"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":82000}]
[null,"ID1267","2012-05-29T09:15:09",82000,82000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":82000},"Manager - Marketing Analytics","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":82000}]
[null,"ID1164","2012-05-28T22:25:04","Â£51,000/$81,600",81600,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":81600},"Business Analyst - Central Finance","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":81600}]
[null,"ID0964","2012-05-28T05:20:41",80000,80000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":81592.772512210868},"Billing manager","Manager","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"4 to 6 hours a day",25,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":81592.772512210868}]
[null,"ID1255","2012-05-29T06:26:05",80000,80000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":81592.772512210868},"systems accountant","Accountant","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":81592.772512210868}]
[null,"ID1713","2012-06-06T09:31:47",80000,80000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":81592.772512210868},"PPC Search Specialist","Specialist","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":81592.772512210868}]
[null,"ID0088","2012-05-26T00:22:49","81,000USD",81000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":81000},"Strategy Consultant","Consultant","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":81000}]
[null,"ID1420","2012-05-30T00:50:03",81000,81000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":81000},"Finance & IT Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":81000}]
[null,"ID1710","2012-06-06T05:52:59",81000,81000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":81000},"Contact Operations Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":81000}]
[null,"ID1427","2012-05-30T01:29:51",80442,80442,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":80442},"Senior Budget Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",16,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":80442}]
[null,"ID0944","2012-05-28T00:10:43",63200,63200,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":80289.244544269619},"Consultant","Consultant","France",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"France"},"4 to 6 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":80289.244544269619}]
[null,"ID0641","2012-05-26T11:45:37","4500000 inr/pa",4500000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":80135.625093491559},"cmo","CXO or Top Mgmt.","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":80135.625093491559}]
[null,"ID1776","2012-06-10T02:29:57",80000,80000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":80000},"Engineer","Engineer","Brazil",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Brazil"},"1 or 2 hours a day",9,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":80000}]
[null,"ID1226","2012-05-29T01:41:00",80000,80000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":80000},"Snr Business Analyst","Analyst","Singapore",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Singapore"},"1 or 2 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":80000}]
[null,"ID0101","2012-05-26T00:40:42","80k",80000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":80000},"financial analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":80000}]
[null,"ID0125","2012-05-26T00:42:00",80000,80000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":80000},"Financial Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":80000}]
[null,"ID0148","2012-05-26T00:44:20",80000,80000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":80000},"Informatics Research Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":80000}]
[null,"ID0169","2012-05-26T00:48:07",80000,80000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":80000},"Consultant, HR Services & Governance","Consultant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":80000}]
[null,"ID0189","2012-05-26T00:50:43",80000,80000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":80000},"Project Manager (Process Owner)","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":80000}]
[null,"ID0217","2012-05-26T00:56:06",80000,80000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":80000},"Marketing Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":80000}]
[null,"ID0226","2012-05-26T00:58:05",80000,80000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":80000},"Senior Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":80000}]
[null,"ID0247","2012-05-26T01:03:52",80000,80000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":80000},"Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":80000}]
[null,"ID0273","2012-05-26T01:10:20",80000,80000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":80000},"VP","CXO or Top Mgmt.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":80000}]
[null,"ID0278","2012-05-26T01:11:54",80000,80000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":80000},"Enterprise Performance Metrics Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":80000}]
[null,"ID0444","2012-05-26T02:46:18",80000,80000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":80000},"web analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":80000}]
[null,"ID0458","2012-05-26T03:03:09",80000,80000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":80000},"operations tech","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":80000}]
[null,"ID0551","2012-05-26T05:44:42","80,000 USD",80000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":80000},"Cost Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":80000}]
[null,"ID0618","2012-05-26T10:51:05",80000,80000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":80000},"Sales Controller","Controller","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":80000}]
[null,"ID0637","2012-05-26T11:37:26",80000,80000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":80000},"program coordinator - automotive","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":80000}]
[null,"ID1199","2012-05-28T23:38:52",80000,80000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":80000},"Financial/Data Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":80000}]
[null,"ID1303","2012-05-29T13:53:59",80000,80000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":80000},"Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":80000}]
[null,"ID1352","2012-05-29T18:33:08",80000,80000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":80000},"Developer","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day",14,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":80000}]
[null,"ID1371","2012-05-29T19:52:35","$80,000 USD",80000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":80000},"Manager of Data Analytics","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":80000}]
[null,"ID1403","2012-05-29T22:50:20",80000,80000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":80000},"Sr Process Consultant","Consultant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":80000}]
[null,"ID1435","2012-05-30T02:32:17",80000,80000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":80000},"Senior analyst, ops support","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":80000}]
[null,"ID1679","2012-06-05T04:06:09",80000,80000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":80000},"Data Resource Specialist","Specialist","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":80000}]
[null,"ID1748","2012-06-08T04:51:45",80000,80000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":80000},"Sales / Finance Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":80000}]
[null,"ID1821","2012-06-13T00:23:31",80000,80000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":80000},"Manager, Operations","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":80000}]
[null,"ID1842","2012-06-14T07:16:41",80000,80000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":80000},"Project Controller","Controller","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",9,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":80000}]
[null,"ID0635","2012-05-26T11:31:52",78000,78000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":79552.953199405587},"Corporate Accountant","Accountant","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"All the 8 hours baby, all the 8!",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":79552.953199405587}]
[null,"ID0243","2012-05-26T01:02:51",79000,79000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":79000},"Director of Finance and Accounting","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":79000}]
[null,"ID0932","2012-05-27T22:22:01","50000 GBP",50000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":78808.913603364199},"Finance Analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"All the 8 hours baby, all the 8!",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":78808.913603364199}]
[null,"ID1076","2012-05-28T15:21:51","Â£50",50000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":78808.913603364199},"Production manager","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":78808.913603364199}]
[null,"ID1695","2012-06-05T21:49:10",50000,50000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":78808.913603364199},"Commercial Director","CXO or Top Mgmt.","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":78808.913603364199}]
[null,"ID1733","2012-06-07T15:19:53",50000,50000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":78808.913603364199},"Research Analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":78808.913603364199}]
[null,"ID1838","2012-06-13T23:32:36",50000,50000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":78808.913603364199},"Assistant Financial Accountant","Accountant","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":78808.913603364199}]
[null,"ID1236","2012-05-29T02:43:44","62.000 euro",62000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":78764.765217479682},"Stafmember","Analyst","Netherlands",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Netherlands"},"4 to 6 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":78764.765217479682}]
[null,"ID1370","2012-05-29T19:50:25",62000,62000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":78764.765217479682},"Controller","Controller","Netherlands",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Netherlands"},"4 to 6 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":78764.765217479682}]
[null,"ID0378","2012-05-26T01:57:23",80000,80000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":78668.921842426149},"Senior Business Analyst","Analyst","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":78668.921842426149}]
[null,"ID1582","2012-06-01T06:31:49",80000,80000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":78668.921842426149},"Business Operations Analyst","Analyst","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"4 to 6 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":78668.921842426149}]
[null,"ID0556","2012-05-26T05:50:21",77000,77000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":78533.043543002947},"Intelligence Analyst","Analyst","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":78533.043543002947}]
[null,"ID0220","2012-05-26T00:56:54",78000,78000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":78000},"Tax Professional","Accountant","Bermuda",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Bermuda"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":78000}]
[null,"ID0453","2012-05-26T02:57:32",78000,78000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":78000},"FinanceManager","Manager","Somalia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Somalia"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":78000}]
[null,"ID1826","2012-06-13T03:48:39",78000,78000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":78000},"Data Integration Engenieer","Engineer","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":78000}]
[null,"ID1893","2012-06-18T14:27:59","$AUD 76300",76300,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":77819.106783521114},"Operations Analyst","Analyst","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"All the 8 hours baby, all the 8!",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":77819.106783521114}]
[null,"ID1396","2012-05-29T22:14:19",77500,77500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":77500},"Sr Financial Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":77500}]
[null,"ID0268","2012-05-26T01:08:42","$77,000 USD",77000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":77000},"senior accounting coordinator","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":77000}]
[null,"ID0504","2012-05-26T04:03:33",77000,77000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":77000},"Senior Financial Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":77000}]
[null,"ID1430","2012-05-30T01:57:58",77000,77000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":77000},"Assistant Engineer","Engineer","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":77000}]
[null,"ID1486","2012-05-30T19:42:50",77000,77000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":77000},"Chemical Engineer","Engineer","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",13,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":77000}]
[null,"ID1247","2012-05-29T05:03:26","dkk 450000",450000,"DKK",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":76906.906752939132},"owner","CXO or Top Mgmt.","Denmark",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Denmark"},"All the 8 hours baby, all the 8!",17,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":76906.906752939132}]
[null,"ID1805","2012-06-12T03:45:25",78000,78000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":76702.198796365497},"SFA","Analyst","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"All the 8 hours baby, all the 8!",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":76702.198796365497}]
[null,"ID0432","2012-05-26T02:33:06",76600,76600,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":76600},"Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":76600}]
[null,"ID1544","2012-05-31T16:30:09",48360,48360,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":76223.981237173866},"pricing manager","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"All the 8 hours baby, all the 8!",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":76223.981237173866}]
[null,"ID1925","2012-06-20T13:05:17","60000 EUR",60000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":76223.966339496474},"Project Manager","Manager","Europe",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Europe"},"2 to 3 hours per day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":76223.966339496474}]
[null,"ID1126","2012-05-28T17:42:11",5000,60000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":76223.966339496474},"Development Manager","Manager","Finland",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Finland"},"1 or 2 hours a day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":76223.966339496474}]
[null,"ID1889","2012-06-17T16:01:50",60000,60000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":76223.966339496474},"pm","Manager","Germany",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Germany"},"4 to 6 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":76223.966339496474}]
[null,"ID1485","2012-05-30T19:27:35","60000 Euros",60000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":76223.966339496474},"Sales Analyst","Analyst","Italy",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"italy"},"All the 8 hours baby, all the 8!",14,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":76223.966339496474}]
[null,"ID1542","2012-05-31T16:25:23","60K â‚¬",60000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":76223.966339496474},"Trade Marketing","Manager","NL",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Netherlands"},"2 to 3 hours per day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":76223.966339496474}]
[null,"ID1555","2012-05-31T21:45:03","60000 EUR",60000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":76223.966339496474},"Business Engineer","Engineer","Netherlands",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Netherlands"},"4 to 6 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":76223.966339496474}]
[null,"ID0269","2012-05-26T01:09:01",76000,76000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":76000},"Demand Planning Mgr","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":76000}]
[null,"ID0515","2012-05-26T04:25:24",76000,76000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":76000},"Accounting Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":76000}]
[null,"ID1490","2012-05-30T20:40:45",76000,76000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":76000},"Sr. Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":76000}]
[null,"ID0973","2012-05-28T07:00:25",95000,95000,"NZD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":75770.868892469181},"Cost Accountant","Accountant","New Zealand",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"New Zealand"},"4 to 6 hours a day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":75770.868892469181}]
[null,"ID1098","2012-05-28T16:07:51",48000,48000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":75656.557059229643},"Business Operations Co-ordinator","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":75656.557059229643}]
[null,"ID1498","2012-05-30T21:45:06",74000,74000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":75473.31457379504},"operations Administrator","Analyst","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"All the 8 hours baby, all the 8!",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":75473.31457379504}]
[null,"ID1906","2012-06-19T19:33:25",74000,74000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":75473.31457379504},"Systems Analyst","Analyst","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"4 to 6 hours a day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":75473.31457379504}]
[null,"ID0906","2012-05-27T15:44:07",75010,75010,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":75010},"Senior Business Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":75010}]
[null,"ID1594","2012-06-01T18:08:07","75000 $",75000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":75000},"Consultant","Consultant","Germany",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Germany"},"2 to 3 hours per day",9,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":75000}]
[null,"ID0016","2012-05-25T03:56:40",75000,75000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":75000},"Sr Project Engineer","Engineer","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":75000}]
[null,"ID0024","2012-05-25T04:32:49",75000,75000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":75000},"Marketing Director","CXO or Top Mgmt.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":75000}]
[null,"ID0072","2012-05-25T22:52:28",75000,75000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":75000},"Consumer Research Program Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":75000}]
[null,"ID0094","2012-05-26T00:40:00",75000,75000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":75000},"Data Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":75000}]
[null,"ID0161","2012-05-26T00:46:00",75000,75000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":75000},"Program Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":75000}]
[null,"ID0177","2012-05-26T00:49:21",75000,75000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":75000},"Informatics specialist","Specialist","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":75000}]
[null,"ID0277","2012-05-26T01:11:12",75000,75000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":75000},"financial analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":75000}]
[null,"ID0300","2012-05-26T01:21:06",75000,75000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":75000},"FA","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":75000}]
[null,"ID0360","2012-05-26T01:44:59",75000,75000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":75000},"Sr. Financial Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":75000}]
[null,"ID0437","2012-05-26T02:35:11",75000,75000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":75000},"Financial Analys","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":75000}]
[null,"ID0589","2012-05-26T08:01:44",75000,75000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":75000},"Sr. Human Resources Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",25,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":75000}]
[null,"ID0597","2012-05-26T08:45:34",75000,75000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":75000},"Financial Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":75000}]
[null,"ID0824","2012-05-26T22:49:34",75000,75000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":75000},"sr financial analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",27,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":75000}]
[null,"ID1167","2012-05-28T22:36:22",75000,75000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":75000},"Controller","Controller","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":75000}]
[null,"ID1188","2012-05-28T23:02:08",75000,75000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":75000},"Financial Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":75000}]
[null,"ID1359","2012-05-29T19:01:48",75000,75000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":75000},"Financial Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":75000}]
[null,"ID1428","2012-05-30T01:48:18",75000,75000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":75000},"HR Cordinator","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day",9,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":75000}]
[null,"ID1444","2012-05-30T10:40:24",75000,75000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":75000},"Business Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",1.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":75000}]
[null,"ID1520","2012-05-31T04:12:19",75000,75000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":75000},"Financial Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",1.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":75000}]
[null,"ID1675","2012-06-05T02:21:01",75000,75000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":75000},"Accountant","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":75000}]
[null,"ID1697","2012-06-05T22:05:10",75000,75000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":75000},"Directer of Sales Support","CXO or Top Mgmt.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":75000}]
[null,"ID1743","2012-06-08T00:21:23",75000,75000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":75000},"Senior Financial Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":75000}]
[null,"ID1749","2012-06-08T06:42:32",75000,75000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":75000},"actuary","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":75000}]
[null,"ID1915","2012-06-20T00:55:28",75000,75000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":75000},"Data Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"06 | 75000 - 87500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":75000}]
[null,"ID1788","2012-06-11T10:04:43",74461,74461,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":74461},"Scientist III","Misc.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day",9,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":74461}]
[null,"ID1511","2012-05-31T01:17:16",74300,74300,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":74300},"Senior Business Research Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":74300}]
[null,"ID0100","2012-05-26T00:40:41",74000,74000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":74000},"Senior Consultant","Consultant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":74000}]
[null,"ID0449","2012-05-26T02:53:29",74000,74000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":74000},"Engineer","Engineer","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":74000}]
[null,"ID1218","2012-05-29T00:36:21",74000,74000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":74000},"marketing specialist","Specialist","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":74000}]
[null,"ID0357","2012-05-26T01:42:31",75000,75000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":73752.11422727452},"web marketing analyst","Analyst","canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":73752.11422727452}]
[null,"ID1395","2012-05-29T22:13:08",73500,73500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":73500},"Senior Underwriting Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":73500}]
[null,"ID0241","2012-05-26T01:02:21",73000,73000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":73000},"Financial Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":73000}]
[null,"ID0263","2012-05-26T01:08:04",73000,73000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":73000},"Sr. Global marketing Specialist","Specialist","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":73000}]
[null,"ID1707","2012-06-06T03:14:56",73000,73000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":73000},"process coordinator","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":73000}]
[null,"ID1559","2012-05-31T22:06:59",74000,74000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":72768.752704244194},"Operations Analyst","Analyst","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":72768.752704244194}]
[null,"ID0523","2012-05-26T04:40:36",72600,72600,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":72600},"Accounting Operations Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":72600}]
[null,"ID1021","2012-05-28T12:15:53","SGD92,000",92000,"SGD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":72571.80269935554},"Finance Manager","Manager","Singapore",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Singapore"},"All the 8 hours baby, all the 8!",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":72571.80269935554}]
[null,"ID0223","2012-05-26T00:57:44",72500,72500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":72500},"Assistant Controller","Controller","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":72500}]
[null,"ID0356","2012-05-26T01:42:27",72500,72500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":72500},"Transportation Engineer","Engineer","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":72500}]
[null,"ID1108","2012-05-28T16:35:19",57000,57000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":72412.768022521646},"Spare Part Coordinator","Manager","Norway",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Norway"},"1 or 2 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":72412.768022521646}]
[null,"ID1249","2012-05-29T05:11:03","USD72000",72000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":72000},"Markets Adviser","Consultant","New Zealand",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"New Zealand"},"2 to 3 hours per day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":72000}]
[null,"ID0533","2012-05-26T05:13:03",72000,72000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":72000},"Analytical Department Director ","Analyst","Russia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Russia"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":72000}]
[null,"ID0421","2012-05-26T02:19:48",72000,72000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":72000},"IS Director","CXO or Top Mgmt.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":72000}]
[null,"ID0438","2012-05-26T02:37:50",72000,72000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":72000},"Sr. Information Systems Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":72000}]
[null,"ID1424","2012-05-30T01:15:32",72000,72000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":72000},"Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":72000}]
[null,"ID1432","2012-05-30T02:18:30",72000,72000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":72000},"sr. senior analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":72000}]
[null,"ID1769","2012-06-09T01:47:30",72000,72000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":72000},"Consultant","Consultant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",13,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":72000}]
[null,"ID1869","2012-06-15T22:36:45",72000,72000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":72000},"HR Supervisor","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":72000}]
[null,"ID1561","2012-05-31T23:08:12",71500,71500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":71500},"Management Reporting Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":71500}]
[null,"ID1765","2012-06-08T23:20:36",71500,71500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":71500},"Pricing Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",11,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":71500}]
[null,"ID0041","2012-05-25T05:18:48",70000,70000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":71393.675948184507},"consultant","Consultant","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":71393.675948184507}]
[null,"ID0984","2012-05-28T08:03:10","AUD$70,000",70000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":71393.675948184507},"Business Development","Manager","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"4 to 6 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":71393.675948184507}]
[null,"ID1012","2012-05-28T11:33:05","AUD$70,000",70000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":71393.675948184507},"Director","CXO or Top Mgmt.","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"All the 8 hours baby, all the 8!",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":71393.675948184507}]
[null,"ID1442","2012-05-30T09:42:01",70000,70000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":71393.675948184507},"Assistant Accountant","Accountant","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"2 to 3 hours per day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":71393.675948184507}]
[null,"ID1122","2012-05-28T17:18:47","GBP Â£45200",45200,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":71243.257897441246},"Clinical audit manager","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":71243.257897441246}]
[null,"ID0441","2012-05-26T02:40:39","INR 40L",4000000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":71231.666749770273},"Sr Mgr Finance","Accountant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":71231.666749770273}]
[null,"ID0640","2012-05-26T11:40:34","4000000 INR",4000000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":71231.666749770273},"Senior Executive","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",1.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":71231.666749770273}]
[null,"ID1509","2012-05-31T00:46:55","4.00 lac",4000000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":71231.666749770273},"Operational Specialist","Specialist","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":71231.666749770273}]
[null,"ID0135","2012-05-26T00:43:07",71000,71000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":71000},"Market Research Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":71000}]
[null,"ID1554","2012-05-31T21:06:45",70970,70970,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":70970},"Sr. Risk Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",17,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":70970}]
[null,"ID0235","2012-05-26T01:01:03",45000,45000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":70928.022243027779},"Procurement manager","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":70928.022243027779}]
[null,"ID1117","2012-05-28T17:05:07","Â£45000",45000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":70928.022243027779},"Assistant Director - Performance Information","CXO or Top Mgmt.","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":70928.022243027779}]
[null,"ID1332","2012-05-29T16:39:11","Â£45000",45000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":70928.022243027779},"Senior Consultant","Consultant","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":70928.022243027779}]
[null,"ID1372","2012-05-29T19:54:38","Â£45000",45000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":70928.022243027779},"Management Accountant","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":70928.022243027779}]
[null,"ID1690","2012-06-05T19:37:13","Â£45000",45000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":70928.022243027779},"Data Analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"All the 8 hours baby, all the 8!",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":70928.022243027779}]
[null,"ID1761","2012-06-08T20:47:58",45000,45000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":70928.022243027779},"bUSINESS aNALYST","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"All the 8 hours baby, all the 8!",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":70928.022243027779}]
[null,"ID0403","2012-05-26T02:06:56",72000,72000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":70802.029658183528},"Controller","Controller","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":70802.029658183528}]
[null,"ID0122","2012-05-26T00:41:43",70000,70000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":70000},"Sr. Acct","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":70000}]
[null,"ID0183","2012-05-26T00:50:15",70000,70000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":70000},"Project Speciast","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":70000}]
[null,"ID0196","2012-05-26T00:52:25",70000,70000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":70000},"Sr Financial Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":70000}]
[null,"ID0245","2012-05-26T01:03:28",70000,70000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":70000},"Manager Pricing","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":70000}]
[null,"ID0283","2012-05-26T01:15:05",70000,70000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":70000},"Engineering Tech Sr.","Engineer","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":70000}]
[null,"ID0317","2012-05-26T01:26:52",70000,70000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":70000},"Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":70000}]
[null,"ID0396","2012-05-26T02:03:45",70000,70000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":70000},"Management Ananlyst","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":70000}]
[null,"ID0472","2012-05-26T03:15:04",70000,70000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":70000},"Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":70000}]
[null,"ID0520","2012-05-26T04:34:41",70000,70000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":70000},"Metrics Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":70000}]
[null,"ID0587","2012-05-26T07:53:13",70000,70000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":70000},"Financial Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":70000}]
[null,"ID0606","2012-05-26T09:36:28",70000,70000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":70000},"Program/Mgt Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",18,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":70000}]
[null,"ID0874","2012-05-27T09:17:47",70000,70000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":70000},"Financial Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":70000}]
[null,"ID0945","2012-05-28T00:17:26",70000,70000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":70000},"Client Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":70000}]
[null,"ID1258","2012-05-29T07:46:56",70000,70000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":70000},"Develope","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":70000}]
[null,"ID1275","2012-05-29T10:08:21",70000,70000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":70000},"Project Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":70000}]
[null,"ID1654","2012-06-04T04:31:53",70000,70000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":70000},"Sr financial analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",9,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":70000}]
[null,"ID1824","2012-06-13T01:56:23",70000,70000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":70000},"business analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":70000}]
[null,"ID1932","2012-06-21T04:46:24",70000,70000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":70000},"Administrative Coordinator","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":70000}]
[null,"ID1386","2012-05-29T21:44:00",69960,69960,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":69960},"Measurement & Verification Engineer","Engineer","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",22,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":69960}]
[null,"ID0778","2012-05-26T18:38:41",55000,55000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":69871.969144538423},"CFO","CXO or Top Mgmt.","italy",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"italy"},"2 to 3 hours per day",18,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":69871.969144538423}]
[null,"ID0566","2012-05-26T06:24:03",55000,55000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":69871.969144538423},"Business analyst","Analyst","Netherlands",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Netherlands"},"All the 8 hours baby, all the 8!",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":69871.969144538423}]
[null,"ID1553","2012-05-31T21:05:02","55000 EUR",55000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":69871.969144538423},"Risk Officer","Manager","The Netherlands",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Netherlands"},"1 or 2 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":69871.969144538423}]
[null,"ID1306","2012-05-29T13:59:14",68000,68000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":69353.856635379227},"Project Support Officer","Manager","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":69353.856635379227}]
[null,"ID1104","2012-05-28T16:26:14",43912.03,43912,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":69213.140283018583},"Senior Data Analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"All the 8 hours baby, all the 8!",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":69213.140283018583}]
[null,"ID0038","2012-05-25T05:10:29",69000,69000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":69000},"Design Engineer","Engineer","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":69000}]
[null,"ID0149","2012-05-26T00:44:22",69000,69000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":69000},"Business Technical Consultant","Consultant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":69000}]
[null,"ID1159","2012-05-28T21:17:04",69000,69000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":69000},"Financial Analysist","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":69000}]
[null,"ID1271","2012-05-29T09:38:14",69000,69000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":69000},"master scheduler","Controller","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":69000}]
[null,"ID1746","2012-06-08T03:23:20",69000,69000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":69000},"Business Analyst II","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":69000}]
[null,"ID0363","2012-05-26T01:46:24","480 000 SEK / 70000 US$",480000,"SEK",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":68954.520184280962},"IT consultant","Consultant","Sweden",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Sweden"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":68954.520184280962}]
[null,"ID0043","2012-05-25T05:30:39",70000,70000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":68835.306612122877},"Product Engineer","Engineer","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":68835.306612122877}]
[null,"ID0137","2012-05-26T00:43:17",70000,70000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":68835.306612122877},"project manager","Manager","canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":68835.306612122877}]
[null,"ID0466","2012-05-26T03:09:49","CDN $70,000",70000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":68835.306612122877},"Program Manager","Manager","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":68835.306612122877}]
[null,"ID1731","2012-06-07T09:25:45",70000,70000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":68835.306612122877},"Financial Analyst","Analyst","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"All the 8 hours baby, all the 8!",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":68835.306612122877}]
[null,"ID0061","2012-05-25T07:11:09",68000,68000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":68000},"Engineering Data Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":68000}]
[null,"ID0289","2012-05-26T01:17:56",68000,68000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":68000},"management accountant","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":68000}]
[null,"ID0359","2012-05-26T01:43:48",68000,68000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":68000},"Project Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":68000}]
[null,"ID1619","2012-06-02T06:43:25",68000,68000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":68000},"Supply Chain Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":68000}]
[null,"ID1742","2012-06-08T00:01:49",68000,68000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":68000},"Tax Associate","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",2.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":68000}]
[null,"ID0721","2012-05-26T14:51:02",85000,85000,"NZD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":67794.987956419791},"Systems Manager","Manager","New Zealand",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"New Zealand"},"4 to 6 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":67794.987956419791}]
[null,"ID0229","2012-05-26T00:58:22",43000,43000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":67775.665698893223},"ServiceDesk Supervisor","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":67775.665698893223}]
[null,"ID0366","2012-05-26T01:49:55",43000,43000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":67775.665698893223},"Commercial Manager","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":67775.665698893223}]
[null,"ID1176","2012-05-28T22:45:49","Â£43000",43000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":67775.665698893223},"Head of Finance","Accountant","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"All the 8 hours baby, all the 8!",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":67775.665698893223}]
[null,"ID1251","2012-05-29T05:47:34","GBP 43,000",43000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":67775.665698893223},"Financial Controller","Controller","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",25,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":67775.665698893223}]
[null,"ID1693","2012-06-05T21:07:16","400 000 NOK",400000,"NOK",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":67700.452577525488},"Economic analyst","Analyst","Norway",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Norway"},"All the 8 hours baby, all the 8!",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":67700.452577525488}]
[null,"ID0501","2012-05-26T04:00:21",68500,68500,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":67360.264327577388},"Financial Analyst","Analyst","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":67360.264327577388}]
[null,"ID0116","2012-05-26T00:41:32",67000,67000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":67000},"Operations Cost Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":67000}]
[null,"ID0174","2012-05-26T00:48:48",67000,67000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":67000},"B.I. Data Analyst II","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":67000}]
[null,"ID0195","2012-05-26T00:52:21",67000,67000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":67000},"Financial Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":67000}]
[null,"ID0306","2012-05-26T01:22:56",67000,67000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":67000},"HR Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":67000}]
[null,"ID0552","2012-05-26T05:46:02",67000,67000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":67000},"Management Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":67000}]
[null,"ID1449","2012-05-30T12:12:38",67000,67000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":67000},"accounting systems manager ","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":67000}]
[null,"ID1762","2012-06-08T21:00:25",67000,67000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":67000},"Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",16,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":67000}]
[null,"ID1766","2012-06-08T23:46:11",67000,67000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":67000},"Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"Excel ?!? What Excel?",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":67000}]
[null,"ID1871","2012-06-15T23:50:11",67000,67000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":67000},"Sales Compensation Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":67000}]
[null,"ID0157","2012-05-26T00:45:46",66500,66500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":66500},"Sr Business Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":66500}]
[null,"ID0798","2012-05-26T21:00:40","Aud 65000",65000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":66294.12766617132},"Market analyst","Analyst","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"All the 8 hours baby, all the 8!",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":66294.12766617132}]
[null,"ID0968","2012-05-28T06:25:36","AU$65",65000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":66294.12766617132},"Business Support ","Manager","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"2 to 3 hours per day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":66294.12766617132}]
[null,"ID0979","2012-05-28T07:33:29",65000,65000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":66294.12766617132},"Data Analyst","Analyst","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"4 to 6 hours a day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":66294.12766617132}]
[null,"ID1662","2012-06-04T18:03:21",42000,42000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":66199.48742682593},"Management Accountant","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",23,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":66199.48742682593}]
[null,"ID0108","2012-05-26T00:41:03",66000,66000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":66000},"Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":66000}]
[null,"ID1502","2012-05-30T22:32:21",66000,66000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":66000},"Director of Business Analytics","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":66000}]
[null,"ID1636","2012-06-03T04:14:45","Rs. 3.70 lacs",3700000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":65889.291743537498},"Senior Officer","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":65889.291743537498}]
[null,"ID0011","2012-05-25T03:43:45","â‚¬ 51650",51650,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":65616.131023916547},"Training Specialist","Specialist","Ireland",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Ireland"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":65616.131023916547}]
[null,"ID0237","2012-05-26T01:02:04",65250,65250,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":65250},"Accountant","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":65250}]
[null,"ID0128","2012-05-26T00:42:11",65000,65000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":65000},"sr accountant","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":65000}]
[null,"ID0153","2012-05-26T00:45:00",65000,65000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":65000},"Sr Accountant","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":65000}]
[null,"ID0231","2012-05-26T00:59:03",65000,65000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":65000},"Sr. Strategic Development Specialist","Specialist","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":65000}]
[null,"ID0292","2012-05-26T01:18:49",65000,65000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":65000},"Software Support","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":65000}]
[null,"ID0327","2012-05-26T01:30:39",65000,65000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":65000},"business analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":65000}]
[null,"ID0439","2012-05-26T02:38:34",65000,65000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":65000},"Senior Claims Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":65000}]
[null,"ID0488","2012-05-26T03:32:13",65000,65000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":65000},"Business Systems Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":65000}]
[null,"ID0512","2012-05-26T04:18:15",65000,65000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":65000},"Retail Store Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":65000}]
[null,"ID0591","2012-05-26T08:05:39",65000,65000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":65000},"Data Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":65000}]
[null,"ID0605","2012-05-26T09:28:50",65000,65000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":65000},"Helicopter Mechanic","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",17,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":65000}]
[null,"ID0791","2012-05-26T20:19:36",65000,65000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":65000},"security analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":65000}]
[null,"ID0866","2012-05-27T04:40:33",65000,65000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":65000},"Security Access Governance Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":65000}]
[null,"ID1025","2012-05-28T12:26:42",65000,65000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":65000},"Controller","Controller","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",9,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":65000}]
[null,"ID1402","2012-05-29T22:50:16",65000,65000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":65000},"eeo analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":65000}]
[null,"ID1407","2012-05-29T23:09:29",65000,65000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":65000},"Data Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",14,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":65000}]
[null,"ID1696","2012-06-05T21:59:40",65000,65000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":65000},"Business Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":65000}]
[null,"ID1706","2012-06-06T02:17:14",65000,65000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":65000},"Actuarial Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":65000}]
[null,"ID1768","2012-06-09T01:15:44",65000,65000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":65000},"Compliance Officer","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":65000}]
[null,"ID1802","2012-06-12T02:43:17","$65,000 US",65000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":65000},"Sr Financial Systems Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",14,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":65000}]
[null,"ID1803","2012-06-12T02:59:16",65000,65000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":65000},"Data Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":65000}]
[null,"ID1804","2012-06-12T03:32:27",65000,65000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":65000},"Assistant Controller","Controller","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",13,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":65000}]
[null,"ID0790","2012-05-26T20:16:28","CA$66000",66000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":64901.860520001574},"Programmer-analyst","Analyst","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"2 to 3 hours per day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":64901.860520001574}]
[null,"ID1414","2012-05-30T00:02:08",64500,64500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":64500},"Lead Budget/Financial Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",13,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":64500}]
[null,"ID1515","2012-05-31T02:24:37",64300,64300,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":64300},"Financial Analst","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":64300}]
[null,"ID1888","2012-06-17T13:26:38","AUD63000",63000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":64254.308353366054},"Financial Modelling adviser","Accountant","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"All the 8 hours baby, all the 8!",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":64254.308353366054}]
[null,"ID1488","2012-05-30T20:19:51",64000,64000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":64000},"Program Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":64000}]
[null,"ID0246","2012-05-26T01:03:34",65000,65000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":63918.498996971248},"Insurance Manager","Manager","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":63918.498996971248}]
[null,"ID0333","2012-05-26T01:32:14","CAD 65000",65000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":63918.498996971248},"Product developer","Manager","CANADA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":63918.498996971248}]
[null,"ID1166","2012-05-28T22:35:56","CAD$65000",65000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":63918.498996971248},"IT Analyst (Reporting)","Analyst","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"4 to 6 hours a day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":63918.498996971248}]
[null,"ID1259","2012-05-29T07:52:56",65000,65000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":63918.498996971248},"it manager","Manager","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"2 to 3 hours per day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":63918.498996971248}]
[null,"ID1092","2012-05-28T15:59:46",40500,40500,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":63835.220018725006},"Policy, Performance and Research Officer","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day",25,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":63835.220018725006}]
[null,"ID0570","2012-05-26T06:47:59","NZ $80,000",80000,"NZD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":63807.047488395103},"Accountant/Analyst","Analyst","New Zealand",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"New Zealand"},"4 to 6 hours a day",23,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":63807.047488395103}]
[null,"ID1335","2012-05-29T16:55:43",80000,80000,"NZD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":63807.047488395103},"accountant","Accountant","new zealand",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"New Zealand"},"All the 8 hours baby, all the 8!",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":63807.047488395103}]
[null,"ID0408","2012-05-26T02:10:35",63586.95,63586,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":63586},"Senior Purchasing Officer","Manager","United Arab Emriate",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UAE"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":63586}]
[null,"ID0595","2012-05-26T08:30:00","â‚¬ 50000",50000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":63519.971949580387},"Analyst","Analyst","Germany",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Germany"},"2 to 3 hours per day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":63519.971949580387}]
[null,"ID0208","2012-05-26T00:54:14","â‚¬ 50000",50000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":63519.971949580387},"Data Analyst","Analyst","Ireland",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Ireland"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":63519.971949580387}]
[null,"ID1508","2012-05-31T00:36:30",50000,50000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":63519.971949580387},"accountant","Accountant","italy",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"italy"},"All the 8 hours baby, all the 8!",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":63519.971949580387}]
[null,"ID1608","2012-06-02T01:29:04","â‚¬ 50k",50000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":63519.971949580387},"Controller","Controller","Netherlands",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Netherlands"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":63519.971949580387}]
[null,"ID0559","2012-05-26T05:52:47",50000,50000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":63519.971949580387},"Proyect Manager","Manager","Panama",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Panama"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":63519.971949580387}]
[null,"ID1129","2012-05-28T17:42:57",50000,50000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":63519.971949580387},"Network Enginer","Engineer","Portugal",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Portugal"},"2 to 3 hours per day",14,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":63519.971949580387}]
[null,"ID0980","2012-05-28T07:39:22",62000,62000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":63234.398696963413},"Business Analyst","Analyst","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"4 to 6 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":63234.398696963413}]
[null,"ID0052","2012-05-25T06:07:15",40000,40000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":63047.130882691366},"Senior Accountant","Accountant","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":63047.130882691366}]
[null,"ID1107","2012-05-28T16:34:48","Â£40000",40000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":63047.130882691366},"Buyer","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"1 or 2 hours a day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":63047.130882691366}]
[null,"ID1682","2012-06-05T06:51:36","Â£40000",40000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":63047.130882691366},"Technical Specialist","Specialist","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day",25,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":63047.130882691366}]
[null,"ID1724","2012-06-06T21:20:38",40000,40000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":63047.130882691366},"project manager","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":63047.130882691366}]
[null,"ID1737","2012-06-07T17:13:42",40000,40000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":63047.130882691366},"Analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":63047.130882691366}]
[null,"ID0343","2012-05-26T01:38:06","63000 USD",63000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":63000},"Sales Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":63000}]
[null,"ID1254","2012-05-29T06:24:36",63000,63000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":63000},"Senior Staff Accountant","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",16,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":63000}]
[null,"ID1806","2012-06-12T06:36:12",63000,63000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":63000},"Sales Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":63000}]
[null,"ID1874","2012-06-16T06:17:53",63000,63000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":63000},"Marketing Database Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":63000}]
[null,"ID1875","2012-06-16T08:10:59","63000 USD",63000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":63000},"Financial Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":63000}]
[null,"ID0528","2012-05-26T04:50:21","EUR 49248",49248,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":62564.631571458704},"Financial Advisor","Accountant","Netherlands",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Netherlands"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":62564.631571458704}]
[null,"ID0361","2012-05-26T01:45:50","62500.00 USD",62500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":62500},"Director of Payroll","CXO or Top Mgmt.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"05 | 62500 - 75000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":62500}]
[null,"ID0264","2012-05-26T01:08:19",62400,62400,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":62400},"financial accountant","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":62400}]
[null,"ID0058","2012-05-25T06:49:25",49000,49000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":62249.572510588783},"Project leader","Manager","France",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"France"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":62249.572510588783}]
[null,"ID0880","2012-05-27T12:32:45","62000 USD",62000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":62000},"Deputy Manager Finance","Manager","Qatar",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Qatar"},"All the 8 hours baby, all the 8!",11,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":62000}]
[null,"ID0055","2012-05-25T06:15:42",62000,62000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":62000},"Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":62000}]
[null,"ID0764","2012-05-26T17:08:09",62000,62000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":62000},"System Analyst ","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":62000}]
[null,"ID1391","2012-05-29T21:54:33",62000,62000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":62000},"Measurement Specialist","Specialist","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",25,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":62000}]
[null,"ID1525","2012-05-31T06:13:42",62000,62000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":62000},"info analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",27,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":62000}]
[null,"ID1614","2012-06-02T03:23:09",62000,62000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":62000},"Financial Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":62000}]
[null,"ID1688","2012-06-05T19:14:04",62000,62000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":62000},"Quality Engineer","Engineer","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":62000}]
[null,"ID1910","2012-06-19T21:06:16",62000,62000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":62000},"Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":62000}]
[null,"ID1312","2012-05-29T14:59:11","â‚¬ 48500",48500,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":61614.372791092981},"Information analyst","Analyst","Netherlands",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Netherlands"},"4 to 6 hours a day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":61614.372791092981}]
[null,"ID0534","2012-05-26T05:15:54",60000,60000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":61194.579384158147},"Analyst","Analyst","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":61194.579384158147}]
[null,"ID1738","2012-06-07T20:10:41",60000,60000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":61194.579384158147},"business analyst","Analyst","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"2 to 3 hours per day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":61194.579384158147}]
[null,"ID0063","2012-05-25T07:15:12",61000,61000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":61000},"Coordinator Of Costa and Buget","Manager","Brasil",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Brazil"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":61000}]
[null,"ID0332","2012-05-26T01:32:08",61000,61000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":61000},"Data Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":61000}]
[null,"ID0519","2012-05-26T04:33:27",61000,61000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":61000},"Senior Accountant","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":61000}]
[null,"ID0614","2012-05-26T10:31:42",61000,61000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":61000},"Sales ops","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":61000}]
[null,"ID1204","2012-05-29T00:00:21",61000,61000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":61000},"Financial Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",1.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":61000}]
[null,"ID1429","2012-05-30T01:52:33",61000,61000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":61000},"Treasury Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":61000}]
[null,"ID1439","2012-05-30T04:13:50",61000,61000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":61000},"Accounting manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",25,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":61000}]
[null,"ID1501","2012-05-30T22:31:35","61K",61000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":61000},"Financial Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":61000}]
[null,"ID0140","2012-05-26T00:43:34","$62,000 CND",62000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60968.414427880263},"Process Technician","Analyst","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60968.414427880263}]
[null,"ID1397","2012-05-29T22:18:48",60800,60800,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60800},"Data Integrity & Reporting Tool Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60800}]
[null,"ID0077","2012-05-25T23:15:34","US $60,000",60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"Statistical Analyst","Analyst","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID1897","2012-06-19T01:49:49","60k usd",60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"buyer","Manager","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"2 to 3 hours per day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID1337","2012-05-29T17:09:02","60000 USD p.a.",60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"Controlling Manager","Manager","CEE",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"CEE"},"All the 8 hours baby, all the 8!",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID1043","2012-05-28T13:40:58","USD 60000",60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"Excel Developer","Consultant","Finland",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Finland"},"All the 8 hours baby, all the 8!",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID1121","2012-05-28T17:17:39",60000,60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",14,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID1631","2012-06-02T22:38:56",60000,60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"Head of Business","Manager","Indonesia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Indonesia"},"2 to 3 hours per day",16,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID0734","2012-05-26T15:24:32",5000,60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"Manager","Manager","Russia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Russia"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID0910","2012-05-27T16:10:27",60000,60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"Cost accountant","Accountant","Singapore",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Singapore"},"All the 8 hours baby, all the 8!",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID0935","2012-05-27T22:58:39",60000,60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"Consultant","Consultant","Singapore",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Singapore"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID1482","2012-05-30T18:51:57",60000,60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"sales&marketing","Analyst","turkey",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Turkey"},"2 to 3 hours per day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID0811","2012-05-26T22:02:53",5000,60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"Audit Manager","Manager","UAE",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UAE"},"2 to 3 hours per day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID1844","2012-06-14T14:08:58",5000,60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"Analyst","Analyst","UAE",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UAE"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID0026","2012-05-25T04:45:01",60000,60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"Analyst II","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID0164","2012-05-26T00:47:42",60000,60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"Telecom Technician","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID0186","2012-05-26T00:50:38",60000,60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"Senior Staff Accountant","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID0193","2012-05-26T00:51:55",60000,60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"Accounting/Financial Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID0236","2012-05-26T01:01:32",60000,60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"Energy Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID0298","2012-05-26T01:20:01",60000,60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"IS Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID0320","2012-05-26T01:27:29",60000,60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"Management Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID0410","2012-05-26T02:12:58",60000,60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"Sr financial analyst ","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID0431","2012-05-26T02:33:00",60000,60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"Planner","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID0456","2012-05-26T03:01:42",60000,60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"Finalcial Reporting Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID0465","2012-05-26T03:09:43",60000,60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"Business intelligence manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID0557","2012-05-26T05:50:23",60000,60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"Marketing Specialist","Specialist","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID0632","2012-05-26T11:26:46",60000,60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"business analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID0875","2012-05-27T09:49:30",5000,60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"Store keeper","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID0970","2012-05-28T06:51:54",60000,60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"Sales Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID1144","2012-05-28T19:19:51",5000,60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"Business Anaylyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID1191","2012-05-28T23:13:24",60000,60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"Quality Management","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID1211","2012-05-29T00:25:39",60000,60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"Quality Assurance Engineer","Engineer","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID1215","2012-05-29T00:29:32",60000,60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"sample manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID1365","2012-05-29T19:23:32",60000,60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"Business Information Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID1375","2012-05-29T20:40:12","$60,000 USD",60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"project manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID1410","2012-05-29T23:21:25",60000,60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"business analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID1459","2012-05-30T13:41:41",60000,60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"Business Intelligence Supervisor","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID1616","2012-06-02T04:49:42",60000,60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"Data Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID1705","2012-06-06T02:11:58","US$60000",60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID1754","2012-06-08T14:43:05",60000,60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"Project Lead ","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID1755","2012-06-08T14:43:40",60000,60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"Project Lead ","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID1839","2012-06-14T01:55:13",60000,60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"Business Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID1849","2012-06-15T01:02:48",60000,60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"Business Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID1870","2012-06-15T23:21:00",60000,60000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":60000},"Marketing Initatities Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":60000}]
[null,"ID0459","2012-05-26T03:03:29","Â£38000",38000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":59894.774338556796},"Commercial Accountant","Accountant","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":59894.774338556796}]
[null,"ID0962","2012-05-28T05:09:12","NZ$ 75000",75000,"NZD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":59819.107020370408},"Information Analyst","Analyst","New  Zealand",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"New Zealand"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":59819.107020370408}]
[null,"ID1639","2012-06-03T09:42:40",75000,75000,"NZD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":59819.107020370408},"business support analyst","Analyst","New zealand",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"New Zealand"},"2 to 3 hours per day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":59819.107020370408}]
[null,"ID1885","2012-06-17T11:38:53",75000,75000,"NZD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":59819.107020370408},"Commercial Accountant","Accountant","New Zealand",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"New Zealand"},"4 to 6 hours a day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":59819.107020370408}]
[null,"ID1156","2012-05-28T20:51:37","Â£37500",37500,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":59106.685202523156},"Corporate Finance Executive","Accountant","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":59106.685202523156}]
[null,"ID0121","2012-05-26T00:41:41",60000,60000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":59001.691381819612},"Web Developer","Analyst","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"Excel ?!? What Excel?","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":59001.691381819612}]
[null,"ID0190","2012-05-26T00:51:00","60000 CAD$",60000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":59001.691381819612},"Demographer","Analyst","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":59001.691381819612}]
[null,"ID0315","2012-05-26T01:26:26",60000,60000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":59001.691381819612},"Sr. Business Analyst","Analyst","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":59001.691381819612}]
[null,"ID1168","2012-05-28T22:36:47",59000,59000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":59000},"Management Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",14,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":59000}]
[null,"ID1560","2012-05-31T22:56:21","$59,000 USD",59000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":59000},"Operations Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":59000}]
[null,"ID1673","2012-06-05T00:22:14",59000,59000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":59000},"Category Leader","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":59000}]
[null,"ID1189","2012-05-28T23:05:03","216000 AED",216000,"AED",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":58799.349940520107},"Financial analyst","Analyst","Dubai",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Dubai"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":58799.349940520107}]
[null,"ID0075","2012-05-25T23:03:00",59450,59450,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":58460.842544152933},"Process Improvement Specialist","Specialist","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":58460.842544152933}]
[null,"ID1476","2012-05-30T17:07:47","Â£37000",37000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":58318.59606648951},"Planning & Scheduling Manager","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"All the 8 hours baby, all the 8!",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":58318.59606648951}]
[null,"ID1628","2012-06-02T20:52:59","37000GBP",37000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":58318.59606648951},"Technical Web Analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",9,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":58318.59606648951}]
[null,"ID0162","2012-05-26T00:46:25",58,58000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":58000},"Team Lead - Computer Discounts","Manager","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":58000}]
[null,"ID0003","2012-05-25T03:16:26",58000,58000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":58000},"Financial Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":58000}]
[null,"ID0044","2012-05-25T05:35:28",58000,58000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":58000},"Senior Accountant","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":58000}]
[null,"ID0113","2012-05-26T00:41:27","$58,000 USD",58000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":58000},"Operations Programs Support","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":58000}]
[null,"ID1436","2012-05-30T02:35:40","Rs 3.25 Lacs",3250000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":57875.729234188344},"ISO TS Documentation","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",5.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":57875.729234188344}]
[null,"ID0974","2012-05-28T07:21:12",56600,56600,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":57726.886552389187},"Operations Coordinator","Manager","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"2 to 3 hours per day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":57726.886552389187}]
[null,"ID1426","2012-05-30T01:25:26",57678.400000000001,57678,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":57678},"Financial Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":57678}]
[null,"ID1415","2012-05-30T00:13:07","216000.00 Saudi Riyak",216000,"SAR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":57600},"Senior Electrical Engineer","Engineer","Saudi Arabia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Saudi Arabia"},"4 to 6 hours a day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":57600}]
[null,"ID0529","2012-05-26T04:50:47",36500,36500,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":57530.506930455871},"Production Manager","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":57530.506930455871}]
[null,"ID1369","2012-05-29T19:47:18",57500,57500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":57500},"Planning Supervisor","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",30,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":57500}]
[null,"ID0107","2012-05-26T00:41:02",57400,57400,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":57400},"IT Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":57400}]
[null,"ID1367","2012-05-29T19:33:07",45000,45000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":57167.974754622352},"Junior Controller","Controller","Germany",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Germany"},"4 to 6 hours a day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":57167.974754622352}]
[null,"ID0049","2012-05-25T06:04:42","â‚¬ 45",45000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":57167.974754622352},"Online Traffic Manager / Web Analist","Manager","The Netherlands",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Netherlands"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":57167.974754622352}]
[null,"ID0957","2012-05-28T03:34:14",45000,45000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":57167.974754622352},"data analist","Analyst","netherlands",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Netherlands"},"2 to 3 hours per day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":57167.974754622352}]
[null,"ID1822","2012-06-13T00:37:24","â‚¬ 45000",45000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":57167.974754622352},"IT Trainer","Analyst","Netherlands",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Netherlands"},"2 to 3 hours per day",14,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":57167.974754622352}]
[null,"ID1134","2012-05-28T18:11:36","â‚¬ 45000",45000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":57167.974754622352},"Sales Planning","Manager","Spain",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Spain"},"4 to 6 hours a day",14,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":57167.974754622352}]
[null,"ID0518","2012-05-26T04:33:03","57000 USD",57000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":57000},"project finance manager","Manager","israel",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Israel"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":57000}]
[null,"ID0051","2012-05-25T06:05:17",57000,57000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":57000},"Senior Accounting Supervisor","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":57000}]
[null,"ID0071","2012-05-25T22:49:00",57000,57000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":57000},"sales analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":57000}]
[null,"ID0099","2012-05-26T00:40:40",57000,57000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":57000},"Production Scheduler","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":57000}]
[null,"ID0144","2012-05-26T00:44:02",57000,57000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":57000},"Industrial Engineer","Engineer","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":57000}]
[null,"ID0953","2012-05-28T01:30:29",57000,57000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":57000},"Construction Engineer","Engineer","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":57000}]
[null,"ID1840","2012-06-14T02:44:43",57000,57000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":57000},"Staff Accountant","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",9,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":57000}]
[null,"ID1725","2012-06-06T22:14:27","36000stg",36000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":56742.417794422225},"contracts officer","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"1 or 2 hours a day",25,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":56742.417794422225}]
[null,"ID1835","2012-06-13T19:33:58","36000 British pounds",36000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":56742.417794422225},"Senior officer data reporting","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"All the 8 hours baby, all the 8!",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":56742.417794422225}]
[null,"ID1685","2012-06-05T12:42:38","NZD$71000",71000,"NZD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":56628.754645950656},"Business Analyst","Analyst","NZ",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"New Zealand"},"All the 8 hours baby, all the 8!",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":56628.754645950656}]
[null,"ID1796","2012-06-11T21:52:14",56600,56600,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":56600},"ECommerce Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":56600}]
[null,"ID0674","2012-05-26T12:55:09",4700,56400,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":56400},"Finance Manager","Manager","UAE",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UAE"},"2 to 3 hours per day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":56400}]
[null,"ID0118","2012-05-26T00:41:35",56160,56160,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":56160},"Utilization Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":56160}]
[null,"ID1440","2012-05-30T08:05:16","AUD55,000",55000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":56095.031102144967},"PA","Analyst","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"2 to 3 hours per day",11,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":56095.031102144967}]
[null,"ID0355","2012-05-26T01:42:07",56000,56000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":56000},"asset manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":56000}]
[null,"ID0413","2012-05-26T02:14:29",56000,56000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":56000},"Staff assistant ","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":56000}]
[null,"ID0417","2012-05-26T02:17:18",56000,56000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":56000},"financial management consultant","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":56000}]
[null,"ID1194","2012-05-28T23:17:31",56000,56000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":56000},"Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":56000}]
[null,"ID1244","2012-05-29T04:25:02",56000,56000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":56000},"Accountant","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":56000}]
[null,"ID1700","2012-06-05T23:09:44","Â£35500",35500,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":55954.328658388586},"Assistant Accountant","Accountant","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":55954.328658388586}]
[null,"ID0506","2012-05-26T04:10:53",55500,55500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":55500},"Sr QS","Controller","UAE",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UAE"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":55500}]
[null,"ID1053","2012-05-28T14:12:50",43500,43500,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":55262.375596134938},"RRHH","Manager","SPAIN",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Spain"},"2 to 3 hours per day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":55262.375596134938}]
[null,"ID0033","2012-05-25T04:58:45","Â£35000",35000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":55166.239522354947},"Management Information Analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":55166.239522354947}]
[null,"ID0409","2012-05-26T02:11:40","Â£35000",35000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":55166.239522354947},"Mgmt Accountant","Accountant","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":55166.239522354947}]
[null,"ID1111","2012-05-28T16:45:32","Â£35000",35000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":55166.239522354947},"Systems Analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":55166.239522354947}]
[null,"ID1153","2012-05-28T20:35:30","Â£35000",35000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":55166.239522354947},"MI Analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":55166.239522354947}]
[null,"ID1552","2012-05-31T20:14:20","Â£35000",35000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":55166.239522354947},"Research Analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":55166.239522354947}]
[null,"ID1577","2012-06-01T05:32:31","35000 GBP",35000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":55166.239522354947},"finance director","CXO or Top Mgmt.","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day",30,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":55166.239522354947}]
[null,"ID1895","2012-06-18T18:26:47","Â£35000",35000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":55166.239522354947},"Process Analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"All the 8 hours baby, all the 8!",34,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":55166.239522354947}]
[null,"ID0062","2012-05-25T07:13:31",56000,56000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":55068.245289698301},"Sales Analyst","Analyst","CANADA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":55068.245289698301}]
[null,"ID0349","2012-05-26T01:40:18",56000,56000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":55068.245289698301},"Online Analyst","Analyst","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":55068.245289698301}]
[null,"ID1666","2012-06-04T21:43:15",56000,56000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":55068.245289698301},"consultant","Consultant","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"All the 8 hours baby, all the 8!",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":55068.245289698301}]
[null,"ID1051","2012-05-28T14:11:34","55000 usd",55000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":55000},"Economist","Reporting","Israel",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Israel"},"4 to 6 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":55000}]
[null,"ID0163","2012-05-26T00:46:29",55000,55000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":55000},"Change Architect","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":55000}]
[null,"ID0274","2012-05-26T01:10:24",55000,55000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":55000},"data analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":55000}]
[null,"ID0319","2012-05-26T01:27:26",55,55000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":55000},"Business Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":55000}]
[null,"ID0390","2012-05-26T02:00:46",55000,55000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":55000},"Accountant","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":55000}]
[null,"ID0490","2012-05-26T03:33:32",55000,55000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":55000},"Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":55000}]
[null,"ID0547","2012-05-26T05:31:06",55000,55000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":55000},"Marketing","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":55000}]
[null,"ID0857","2012-05-27T03:25:05",55000,55000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":55000},"Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":55000}]
[null,"ID1250","2012-05-29T05:21:39",55000,55000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":55000},"Systems Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":55000}]
[null,"ID1408","2012-05-29T23:13:32",55000,55000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":55000},"Risk Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":55000}]
[null,"ID1504","2012-05-30T23:01:48",55000,55000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":55000},"Supplier Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",14,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":55000}]
[null,"ID1610","2012-06-02T02:24:39",55000,55000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":55000},"Business Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":55000}]
[null,"ID1630","2012-06-02T22:33:32",55000,55000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":55000},"Supply Chain Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":55000}]
[null,"ID1674","2012-06-05T02:03:48",55000,55000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":55000},"Customer Sales Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":55000}]
[null,"ID0064","2012-05-25T07:18:53",43000,43000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":54627.175876639136},"SAP consultant","Consultant","FR",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"France"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":54627.175876639136}]
[null,"ID1322","2012-05-29T15:38:40","43000 EUR",43000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":54627.175876639136},"Project manager of IT infrastructure","Manager","France",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"France"},"All the 8 hours baby, all the 8!",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":54627.175876639136}]
[null,"ID0642","2012-05-26T11:46:20",55000,55000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":54084.883766667976},"Project coordinator","Manager","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":54084.883766667976}]
[null,"ID0005","2012-05-25T03:27:04",54000,54000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":54000},"Quality Engineer","Engineer","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":54000}]
[null,"ID0133","2012-05-26T00:42:58",54000,54000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":54000},"Research Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":54000}]
[null,"ID0266","2012-05-26T01:08:35",54000,54000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":54000},"Anaylst","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":54000}]
[null,"ID0517","2012-05-26T04:27:12",54000,54000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":54000},"Business Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":54000}]
[null,"ID0560","2012-05-26T05:55:22",54000,54000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":54000},"IT Specialist","Specialist","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":54000}]
[null,"ID1287","2012-05-29T12:14:02",54000,54000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":54000},"Resource Planning Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":54000}]
[null,"ID1642","2012-06-03T12:16:15",54000,54000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":54000},"assistant director of finance","CXO or Top Mgmt.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":54000}]
[null,"ID1708","2012-06-06T04:00:52",54000,54000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":54000},"Energy Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":54000}]
[null,"ID1872","2012-06-16T02:50:49",54000,54000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":54000},"materials","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",18,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":54000}]
[null,"ID1205","2012-05-29T00:03:43",34000,34000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":53590.061250287661},"investment accountant","Accountant","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"All the 8 hours baby, all the 8!",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":53590.061250287661}]
[null,"ID1206","2012-05-29T00:03:48",34000,34000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":53590.061250287661},"investment accountant","Accountant","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"All the 8 hours baby, all the 8!",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":53590.061250287661}]
[null,"ID1246","2012-05-29T04:33:37","GBP 34000",34000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":53590.061250287661},"Investment Accountant","Accountant","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"All the 8 hours baby, all the 8!",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":53590.061250287661}]
[null,"ID0445","2012-05-26T02:46:56","INR 30,00,000",3000000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":53423.750062327701},"Management Consultant","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":53423.750062327701}]
[null,"ID0951","2012-05-28T01:17:17","42000 â‚¬",42000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":53356.776437647524},"Consultant","Consultant","Germany",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Germany"},"2 to 3 hours per day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":53356.776437647524}]
[null,"ID1495","2012-05-30T21:07:54",42000,42000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":53356.776437647524},"Business Intelligence Consultant","Consultant","Germany",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Germany"},"All the 8 hours baby, all the 8!",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":53356.776437647524}]
[null,"ID0830","2012-05-26T23:04:53",42000,42000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":53356.776437647524},"Project Engineer","Engineer","The Netherlands",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Netherlands"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":53356.776437647524}]
[null,"ID0990","2012-05-28T08:47:39","AU$52.000",52000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":53035.30213293706},"Shipping Administrator","Analyst","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"4 to 6 hours a day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":53035.30213293706}]
[null,"ID0142","2012-05-26T00:43:36",53000,53000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":53000},"Data Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":53000}]
[null,"ID0304","2012-05-26T01:22:45",53000,53000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":53000},"Data Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":53000}]
[null,"ID0350","2012-05-26T01:40:28",53000,53000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":53000},"General Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":53000}]
[null,"ID0643","2012-05-26T11:47:18",53000,53000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":53000},"Financial Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",30,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":53000}]
[null,"ID1854","2012-06-15T03:51:50","Â£33500",33500,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":52801.972114254015},"Senior Manufacturing Engineer","Engineer","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":52801.972114254015}]
[null,"ID1927","2012-06-20T14:08:51",52500,52500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":52500},"Business Analist","Analyst","south africa",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"South Africa"},"4 to 6 hours a day",21,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":52500}]
[null,"ID0234","2012-05-26T01:00:51","52500.00 USD",52500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":52500},"HRIS Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":52500}]
[null,"ID0253","2012-05-26T01:05:18",52500,52500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":52500},"Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":52500}]
[null,"ID1770","2012-06-09T03:20:15",52500,52500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":52500},"Data Management Solutions Supervisor","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":52500}]
[null,"ID1177","2012-05-28T22:46:37","CAD $53,000/-",53000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":52118.160720607324},"Data Analyst","Analyst","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"4 to 6 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":52118.160720607324}]
[null,"ID1333","2012-05-29T16:41:19","41000 â‚¬",41000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":52086.37699865592},"engineer","Engineer","Spain",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Spain"},"4 to 6 hours a day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":52086.37699865592}]
[null,"ID0499","2012-05-26T03:52:24",33000,33000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":52013.882978220376},"LOGISTIC MANAGER","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":52013.882978220376}]
[null,"ID0104","2012-05-26T00:40:50",52000,52000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":52000},"sr. project coordinator","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":52000}]
[null,"ID0120","2012-05-26T00:41:38",52000,52000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":52000},"Market Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"Excel ?!? What Excel?","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":52000}]
[null,"ID0405","2012-05-26T02:07:49",52000,52000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":52000},"Data Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":52000}]
[null,"ID0414","2012-05-26T02:14:48",52000,52000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":52000},"Sr. Accountant","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":52000}]
[null,"ID0462","2012-05-26T03:06:37",52000,52000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":52000},"Graphics/Web Document Designer","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":52000}]
[null,"ID0481","2012-05-26T03:22:33",52000,52000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":52000},"budget analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":52000}]
[null,"ID0683","2012-05-26T13:08:39",52000,52000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":52000},"Maint Sys Support Specialist","Specialist","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",18,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":52000}]
[null,"ID1593","2012-06-01T15:39:20","U$52,000/annual",52000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":52000},"Planner","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":52000}]
[null,"ID0415","2012-05-26T02:15:19",51613,51613,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":51613},"Air Planning Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":51613}]
[null,"ID1196","2012-05-28T23:21:02","KES 4.3 million",4300000,"KENYA",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":51497.005988023957},"Finance Manager","Manager","Kenya",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Kenya"},"4 to 6 hours a day",9,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":51497.005988023957}]
[null,"ID0460","2012-05-26T03:04:06","52,000 Cdn",52000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":51134.799197576998},"Office Manager","Manager","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":51134.799197576998}]
[null,"ID0203","2012-05-26T00:53:37",51000,51000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":51000},"Service Line Coordinator","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":51000}]
[null,"ID0259","2012-05-26T01:07:02",51000,51000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":51000},"Business Data Analyst I","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":51000}]
[null,"ID0447","2012-05-26T02:49:24",51000,51000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":51000},"Direct marketing manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":51000}]
[null,"ID0977","2012-05-28T07:28:34",50000,50000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50995.482820131787},"Operations","Controller","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"1 or 2 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50995.482820131787}]
[null,"ID1056","2012-05-28T14:21:27",50000,50000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50995.482820131787},"BA","Analyst","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"4 to 6 hours a day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50995.482820131787}]
[null,"ID1253","2012-05-29T06:08:12",50846,50846,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50846},"Program & Policy Analyst-Advanced","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",25,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50846}]
[null,"ID0159","2012-05-26T00:45:51","Â£32250",32250,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50831.74927416991},"project Support","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50831.74927416991}]
[null,"ID1358","2012-05-29T19:01:05",40000,40000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50815.977559664309},"officer","Manager","Austria",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Austria"},"4 to 6 hours a day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50815.977559664309}]
[null,"ID1699","2012-06-05T22:50:20",40000,40000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50815.977559664309},"Financial Analyst","Analyst","Germany",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Germany"},"2 to 3 hours per day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50815.977559664309}]
[null,"ID0882","2012-05-27T12:37:02",40000,40000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50815.977559664309},"Medical information analist","Analyst","Netherlands",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Netherlands"},"4 to 6 hours a day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50815.977559664309}]
[null,"ID1096","2012-05-28T16:05:43","40000 euro",40000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50815.977559664309},"Accounting analyst","Analyst","Netherlands",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Netherlands"},"4 to 6 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50815.977559664309}]
[null,"ID1109","2012-05-28T16:41:27",40000,40000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50815.977559664309},"Actuary","Accountant","Portugal",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Portugal"},"2 to 3 hours per day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50815.977559664309}]
[null,"ID1256","2012-05-29T07:21:41",50700,50700,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50700},"Sr. Systems Analyst","Analyst","Brazil",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Brazil"},"1 or 2 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50700}]
[null,"ID1368","2012-05-29T19:39:35","4000000 JPY",4000000,"JPY",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50694.322109187968},"System Analyst (Configuration Mgmt)","Analyst","Japan",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Japan"},"4 to 6 hours a day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50694.322109187968}]
[null,"ID1182","2012-05-28T22:52:19","GBPÂ£32000",32000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50437.70470615309},"Performance Analyst","Analyst","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"4 to 6 hours a day",9,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50437.70470615309}]
[null,"ID0047","2012-05-25T05:47:10",32000,32000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50437.70470615309},"Senior intelligence analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50437.70470615309}]
[null,"ID1175","2012-05-28T22:44:48","Â£32000",32000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50437.70470615309},"Service Analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50437.70470615309}]
[null,"ID1813","2012-06-12T18:09:58","Â£32000",32000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50437.70470615309},"Business Analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50437.70470615309}]
[null,"ID1814","2012-06-12T18:28:39",32000,32000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50437.70470615309},"Financial Analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"All the 8 hours baby, all the 8!",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50437.70470615309}]
[null,"ID1677","2012-06-05T03:50:02",3300,39600,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50307.817784067665},"Maintenance Manager","Manager","Europe",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Europe"},"1 or 2 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50307.817784067665}]
[null,"ID1181","2012-05-28T22:51:27",31763,31763,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50064.150455673145},"Network Administrator","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50064.150455673145}]
[null,"ID1169","2012-05-28T22:38:37","$50,000 U.S.",50000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50000},"Program Manager","Manager","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"1 or 2 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50000}]
[null,"ID0020","2012-05-25T04:19:22",50000,50000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50000},"GM","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50000}]
[null,"ID0599","2012-05-26T08:52:00",50000,50000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50000},"General manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",25,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50000}]
[null,"ID0604","2012-05-26T09:28:32",50000,50000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50000},"Product manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50000}]
[null,"ID0690","2012-05-26T13:19:42",50000,50000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50000},"AREA SALES MANAGER","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50000}]
[null,"ID1070","2012-05-28T14:53:02",50000,50000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50000},"Managing Partner","CXO or Top Mgmt.","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",26,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50000}]
[null,"ID1088","2012-05-28T15:48:23","50000 US $ per year",50000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50000},"Sr. Manager MIS","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",30,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50000}]
[null,"ID1624","2012-06-02T17:34:20","50000USD",50000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50000},"Associate Vice President","CXO or Top Mgmt.","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50000}]
[null,"ID1493","2012-05-30T20:47:55","50000 US$",50000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50000},"Sr. Financial Analyst","Analyst","Kuwait",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Kuwait"},"4 to 6 hours a day",13,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50000}]
[null,"ID0150","2012-05-26T00:44:23",50000,50000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50000},"Business Operations Reporting Analyst","Analyst","Mexico",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Mexico"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50000}]
[null,"ID0539","2012-05-26T05:24:16",50000,50000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50000},"Excel professional","Analyst","self-employed",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Self-employed"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50000}]
[null,"ID1185","2012-05-28T22:55:40","S$50000",50000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50000},"Engineer","Engineer","Singapore",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Singapore"},"2 to 3 hours per day",25,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50000}]
[null,"ID0069","2012-05-25T07:38:22",50000,50000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50000},"Financial Analyst II","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50000}]
[null,"ID0080","2012-05-25T23:31:16",50000,50000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50000},"Exceler","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50000}]
[null,"ID0112","2012-05-26T00:41:22",50000,50000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50000},"Transportation Specialist","Specialist","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50000}]
[null,"ID0123","2012-05-26T00:41:56",50000,50000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50000},"Information Systems Specialist","Specialist","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50000}]
[null,"ID0210","2012-05-26T00:54:27",50000,50000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50000},"Buyer","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50000}]
[null,"ID0227","2012-05-26T00:58:06",50000,50000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50000},"Project Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50000}]
[null,"ID0242","2012-05-26T01:02:47",50000,50000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50000},"data analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50000}]
[null,"ID0295","2012-05-26T01:19:09",50000,50000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50000},"Mathematical Data Analyist","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50000}]
[null,"ID0334","2012-05-26T01:32:26",50000,50000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50000},"Supply Chain Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50000}]
[null,"ID0392","2012-05-26T02:01:07",50000,50000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50000},"IR Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50000}]
[null,"ID0451","2012-05-26T02:55:27",50000,50000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50000},"Wine Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50000}]
[null,"ID0471","2012-05-26T03:15:01",50000,50000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50000},"Researcher & Data Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50000}]
[null,"ID0487","2012-05-26T03:31:34",50000,50000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50000},"Workforce Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50000}]
[null,"ID0537","2012-05-26T05:20:43",50000,50000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50000},"Research Assistant","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50000}]
[null,"ID0550","2012-05-26T05:35:00",50000,50000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50000},"Quality Compliance Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50000}]
[null,"ID0583","2012-05-26T07:37:53",50000,50000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50000},"IT Specialist","Specialist","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50000}]
[null,"ID0624","2012-05-26T11:03:06",50000,50000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50000},"Project coordinator","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50000}]
[null,"ID0869","2012-05-27T06:37:15",50000,50000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50000},"Boss","CXO or Top Mgmt.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50000}]
[null,"ID1282","2012-05-29T10:51:31",50000,50000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50000},"Data Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50000}]
[null,"ID1378","2012-05-29T21:17:26",50000,50000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50000},"Engineering Intern","Engineer","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",0.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50000}]
[null,"ID1416","2012-05-30T00:22:28",50000,50000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50000},"Accounting Supervisor","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50000}]
[null,"ID1425","2012-05-30T01:25:17",50000,50000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50000},"Digital Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50000}]
[null,"ID1581","2012-06-01T06:17:19",50000,50000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50000},"Staff Accountant","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50000}]
[null,"ID1603","2012-06-01T20:37:53",50000,50000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50000},"Sales Operations Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50000}]
[null,"ID1605","2012-06-01T20:53:08",50000,50000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50000},"Catalog Circulation Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50000}]
[null,"ID1847","2012-06-15T00:35:45",50000,50000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50000},"Digital Media Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50000}]
[null,"ID1920","2012-06-20T03:52:40",50000,50000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":50000},"Operations Analyst ","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",3.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"04 | 50000 - 62500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":50000}]
[null,"ID1307","2012-05-29T14:10:28","AUS 49,000",49000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":49975.573163729154},"Document Control","Controller","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"4 to 6 hours a day",30,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":49975.573163729154}]
[null,"ID1346","2012-05-29T17:48:04",49500,49500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":49500},"Financial Analyst II","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",4.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":49500}]
[null,"ID1703","2012-06-06T01:26:56","38920EUR",38920,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":49443.946165553374},"functional analyst","Analyst","Belgium",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Belgium"},"4 to 6 hours a day",1.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":49443.946165553374}]
[null,"ID1228","2012-05-29T01:45:13",4100,49200,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":49200},"Chief Accountant","Accountant","QATAR",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Qatar"},"2 to 3 hours per day",25,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":49200}]
[null,"ID0138","2012-05-26T00:43:25",50000,50000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":49168.076151516347},"Inventory manger","Manager","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":49168.076151516347}]
[null,"ID1531","2012-05-31T09:45:09",50000,50000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":49168.076151516347},"Business Analyst","Analyst","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"4 to 6 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":49168.076151516347}]
[null,"ID1644","2012-06-03T13:30:47",50000,50000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":49168.076151516347},"Application Developer","Analyst","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":49168.076151516347}]
[null,"ID1784","2012-06-10T21:52:30","Â£31185",31185,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":49153.119414418252},"Data Team Leader","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":49153.119414418252}]
[null,"ID0014","2012-05-25T03:50:58",49000,49000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":49000},"business analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":49000}]
[null,"ID1406","2012-05-29T23:08:45",49000,49000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":49000},"Research Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":49000}]
[null,"ID1422","2012-05-30T01:12:04",49000,49000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":49000},"Clinical Data Specialist","Specialist","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":49000}]
[null,"ID1672","2012-06-04T23:41:47",49000,49000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":49000},"Marketing Data Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":49000}]
[null,"ID1274","2012-05-29T09:52:02","48000 $AUD",48000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":48955.663507326513},"Research Assistant","Analyst","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"1 or 2 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":48955.663507326513}]
[null,"ID0291","2012-05-26T01:18:35","Â£31000",31000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":48861.526434085805},"Telecoms Engineer","Engineer","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":48861.526434085805}]
[null,"ID0801","2012-05-26T21:10:20",48500,48500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":48500},"Loss Prevention Finance Coordinator","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":48500}]
[null,"ID1681","2012-06-05T05:03:20",48500,48500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":48500},"Business Systems Analyst I","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":48500}]
[null,"ID0066","2012-05-25T07:21:18","â‚¬ 38000",38000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":48275.178681681093},"busines analist","Analyst","The Netherlands",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Netherlands"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":48275.178681681093}]
[null,"ID1541","2012-05-31T16:16:11","Â£30500",30500,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":48073.437298052166},"Construction Estimator","Consultant","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",14,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":48073.437298052166}]
[null,"ID0960","2012-05-28T04:40:41","48000 $",48000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":48000},"Merchandise planner","Manager","France",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"France"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":48000}]
[null,"ID0004","2012-05-25T03:23:42",48000,48000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":48000},"Quality Control","Controller","Pakistan",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Pakistan"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":48000}]
[null,"ID1186","2012-05-28T22:58:25",48000,48000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":48000},"Cost Controlling Executive","Controller","Qatar",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Qatar"},"2 to 3 hours per day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":48000}]
[null,"ID0774","2012-05-26T17:51:27",48000,48000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":48000},"Consultant","Consultant","Singapore",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Singapore"},"All the 8 hours baby, all the 8!",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":48000}]
[null,"ID0115","2012-05-26T00:41:30",4000,48000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":48000},"Asst.Manager Finance","Manager","UAE",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UAE"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":48000}]
[null,"ID0383","2012-05-26T01:59:40",48000,48000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":48000},"Quality Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":48000}]
[null,"ID0808","2012-05-26T21:43:54",48000,48000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":48000},"Operations Support Coordinator","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",16,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":48000}]
[null,"ID1857","2012-06-15T09:00:08",48000,48000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":48000},"Accountant","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":48000}]
[null,"ID1858","2012-06-15T09:01:23",48000,48000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":48000},"Accountant","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":48000}]
[null,"ID1900","2012-06-19T06:50:47",48000,48000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":48000},"Inventory Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":48000}]
[null,"ID1911","2012-06-19T21:32:36",48000,48000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":48000},"Marketing Analyst Co-op","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":48000}]
[null,"ID0251","2012-05-26T01:04:50",47700,47700,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":47700},"Customer Operations Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":47700}]
[null,"ID0369","2012-05-26T01:50:28",47500,47500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":47500},"Supervisor, Contracts, Rebates, Chargebacks and Returns","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":47500}]
[null,"ID0082","2012-05-25T23:49:27","Â£30000",30000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":47285.348162018527},"Database Manager","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":47285.348162018527}]
[null,"ID0207","2012-05-26T00:54:12","Â£30000",30000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":47285.348162018527},"Business Intelligence Analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":47285.348162018527}]
[null,"ID1079","2012-05-28T15:29:53","Â£30000",30000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":47285.348162018527},"Data Analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"All the 8 hours baby, all the 8!",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":47285.348162018527}]
[null,"ID1097","2012-05-28T16:07:51","Â£30000",30000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":47285.348162018527},"Information Analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":47285.348162018527}]
[null,"ID1101","2012-05-28T16:19:41","Â£30000",30000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":47285.348162018527},"MDM Executive (Business Analyst)","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"All the 8 hours baby, all the 8!",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":47285.348162018527}]
[null,"ID1149","2012-05-28T19:53:14","Â£30000",30000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":47285.348162018527},"Reporting Accountant","Accountant","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":47285.348162018527}]
[null,"ID1243","2012-05-29T04:11:58","Â£30000",30000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":47285.348162018527},"Infection Prevention Surveillance Specialist","Specialist","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",14,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":47285.348162018527}]
[null,"ID1349","2012-05-29T18:14:48","Â£30000",30000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":47285.348162018527},"Market Analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"All the 8 hours baby, all the 8!",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":47285.348162018527}]
[null,"ID1550","2012-05-31T19:51:29","Â£30000",30000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":47285.348162018527},"Cost Analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":47285.348162018527}]
[null,"ID1100","2012-05-28T16:19:21",37000,37000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":47004.779242689488},"Project Control Analyst","Analyst","Spain",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Spain"},"4 to 6 hours a day",11,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":47004.779242689488}]
[null,"ID0326","2012-05-26T01:30:12",47000,47000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":47000},"Sourcing Specialist","Specialist","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":47000}]
[null,"ID0388","2012-05-26T02:00:14",47000,47000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":47000},"Trainer ","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":47000}]
[null,"ID0400","2012-05-26T02:05:49",47000,47000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":47000},"Sr Management Analytst 2","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":47000}]
[null,"ID0173","2012-05-26T00:48:48",46584,46584,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":46584},"Budget Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":46584}]
[null,"ID1931","2012-06-21T04:44:20",46359,46359,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":46359},"Data Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":46359}]
[null,"ID1569","2012-06-01T01:29:02",46325,46325,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":46325},"Work Force Scheduler for Call Center","Controller","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":46325}]
[null,"ID1216","2012-05-29T00:30:42",2600000,2600000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":46300.583387350678},"Practice Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":46300.583387350678}]
[null,"ID0281","2012-05-26T01:14:27",46000,46000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":46000},"University Relations Intern","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":46000}]
[null,"ID0384","2012-05-26T01:59:45","46000 usd",46000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":46000},"Financial analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":46000}]
[null,"ID0540","2012-05-26T05:27:14",46000,46000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":46000},"Research Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":46000}]
[null,"ID1891","2012-06-18T06:14:35",46000,46000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":46000},"AML Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":46000}]
[null,"ID1921","2012-06-20T03:55:55",46000,46000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":46000},"Poultry Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":46000}]
[null,"ID0395","2012-05-26T02:03:35",45880,45880,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":45880},"Campus Budget Officer","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":45880}]
[null,"ID1411","2012-05-29T23:31:03","36000 euros",36000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":45734.379803697877},"Data Analytics Consultant","Analyst","Ireland",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Ireland"},"2 to 3 hours per day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":45734.379803697877}]
[null,"ID0325","2012-05-26T01:29:37","Â£29000",29000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":45709.169889951241},"ICT Technical Analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":45709.169889951241}]
[null,"ID0800","2012-05-26T21:07:14","Â£29000",29000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":45709.169889951241},"Reporting Assistant","Reporting","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":45709.169889951241}]
[null,"ID1141","2012-05-28T18:50:35",29000,29000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":45709.169889951241},"Financial Analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",14,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":45709.169889951241}]
[null,"ID1233","2012-05-29T02:19:27","Â£29000",29000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":45709.169889951241},"Financial Accountant","Accountant","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":45709.169889951241}]
[null,"ID0972","2012-05-28T06:52:05",45616,45616,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":45616},"Assistant Fleet Analyst","Analyst","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"4 to 6 hours a day",1.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":45616}]
[null,"ID0574","2012-05-26T06:57:09","Â£28800",28800,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":45393.934235537781},"Finance Manager","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",27,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":45393.934235537781}]
[null,"ID0489","2012-05-26T03:32:53",46000,46000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":45234.630059395036},"Sr. Marketing Solutions Analyst","Analyst","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":45234.630059395036}]
[null,"ID1548","2012-05-31T17:35:33","45.000 USD",45000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":45000},"Junior Reporting Manager","Manager","Germany",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Germany"},"2 to 3 hours per day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":45000}]
[null,"ID0777","2012-05-26T18:35:20","45000 $",45000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":45000},"AGM","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":45000}]
[null,"ID1704","2012-06-06T01:41:40","US$45,000",45000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":45000},"CFO","CXO or Top Mgmt.","Mexico",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Mexico"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":45000}]
[null,"ID1302","2012-05-29T13:52:13",45000,45000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":45000},"Financial Analysis","Analyst","Pakistan",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Pakistan"},"All the 8 hours baby, all the 8!",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":45000}]
[null,"ID1030","2012-05-28T12:51:53",45000,45000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":45000},"Engineer","Engineer","singapore",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Singapore"},"2 to 3 hours per day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":45000}]
[null,"ID0018","2012-05-25T04:10:44",45000,45000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":45000},"Excel Report Writer","Reporting","South Africa",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"South Africa"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":45000}]
[null,"ID0132","2012-05-26T00:42:46",45000,45000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":45000},"DBA","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":45000}]
[null,"ID0145","2012-05-26T00:44:09",45000,45000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":45000},"data analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":45000}]
[null,"ID0219","2012-05-26T00:56:37","45k",45000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":45000},"Accounting Assistant","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":45000}]
[null,"ID0296","2012-05-26T01:19:22",45000,45000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":45000},"sales support","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":45000}]
[null,"ID0338","2012-05-26T01:34:56",45000,45000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":45000},"QC Fabrication Inspector","Specialist","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":45000}]
[null,"ID0463","2012-05-26T03:07:46",45000,45000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":45000},"Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":45000}]
[null,"ID0549","2012-05-26T05:33:43",45000,45000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":45000},"Reports Coordinator","Reporting","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":45000}]
[null,"ID0567","2012-05-26T06:40:59",45000,45000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":45000},"Workflow Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":45000}]
[null,"ID0582","2012-05-26T07:36:23",45000,45000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":45000},"business analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":45000}]
[null,"ID0600","2012-05-26T08:55:12",45000,45000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":45000},"Technical Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":45000}]
[null,"ID0601","2012-05-26T08:55:17",45000,45000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":45000},"Head Accounts","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":45000}]
[null,"ID1006","2012-05-28T10:29:41","$45,000  USD",45000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":45000},"Staff accountant -- Auditing","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":45000}]
[null,"ID1276","2012-05-29T10:09:37",45000,45000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":45000},"Staff Assistant","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":45000}]
[null,"ID1421","2012-05-30T01:05:26",45000,45000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":45000},"Technical Support Specialist","Specialist","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":45000}]
[null,"ID1496","2012-05-30T21:19:31",45000,45000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":45000},"Data Specialist","Specialist","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":45000}]
[null,"ID1521","2012-05-31T05:02:59",45000,45000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":45000},"Excel Business Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":45000}]
[null,"ID1527","2012-05-31T06:23:55",45000,45000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":45000},"Business Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":45000}]
[null,"ID1701","2012-06-06T00:49:15",45000,45000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":45000},"Bussiness Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":45000}]
[null,"ID1740","2012-06-07T23:33:23",45000,45000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":45000},"Sourcing Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":45000}]
[null,"ID1808","2012-06-12T08:46:15",45000,45000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":45000},"ba","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":45000}]
[null,"ID1896","2012-06-19T00:23:24",45000,45000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":45000},"Senior Accountant","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":45000}]
[null,"ID0473","2012-05-26T03:15:30","Â£28500",28500,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":44921.080753917595},"Data Quality & Analysis Manager","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":44921.080753917595}]
[null,"ID1120","2012-05-28T17:15:29","Â£28500",28500,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":44921.080753917595},"Development (Project & Planning) Manager","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"1 or 2 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":44921.080753917595}]
[null,"ID1158","2012-05-28T21:14:25","R366252",366252,"ZAR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":44654.095718350931},"Accountant","Accountant","South Africa",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"South Africa"},"All the 8 hours baby, all the 8!",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":44654.095718350931}]
[null,"ID1081","2012-05-28T15:33:37","INR 2500000",2500000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":44519.791718606422},"Vice President","CXO or Top Mgmt.","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",9,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":44519.791718606422}]
[null,"ID0109","2012-05-26T00:41:06",35000,35000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":44463.980364706273},"Project manager","Manager","Greece",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Greece"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":44463.980364706273}]
[null,"ID1238","2012-05-29T03:28:37","â‚¬35,000 / â‚¬44,000",35000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":44463.980364706273},"Business Analyst","Analyst","Ireland",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Ireland"},"All the 8 hours baby, all the 8!",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":44463.980364706273}]
[null,"ID0494","2012-05-26T03:37:46",28164,28164,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":44391.484854502989},"Administration Officer","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":44391.484854502989}]
[null,"ID0131","2012-05-26T00:42:41",28159.200000000001,28159,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":44383.603963142654},"Data Analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":44383.603963142654}]
[null,"ID0228","2012-05-26T00:58:10",45000,45000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":44251.268536364711},"Technical support specialist","Specialist","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":44251.268536364711}]
[null,"ID0354","2012-05-26T01:41:54",44200,44200,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":44200},"Planning and Analysis Supervisor","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":44200}]
[null,"ID0262","2012-05-26T01:08:00",28000,28000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":44132.991617883956},"Ops Adminstrator","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":44132.991617883956}]
[null,"ID0387","2012-05-26T02:00:10","Â£28000",28000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":44132.991617883956},"Central Services Manager","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":44132.991617883956}]
[null,"ID1062","2012-05-28T14:34:37","Â£28000",28000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":44132.991617883956},"Modeller","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day",16,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":44132.991617883956}]
[null,"ID0009","2012-05-25T03:37:17","44000 $",44000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":44000},"CFO","CXO or Top Mgmt.","Portugal",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Portugal"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":44000}]
[null,"ID0127","2012-05-26T00:42:10","US $44,000",44000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":44000},"School Tech Coordinator","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":44000}]
[null,"ID0389","2012-05-26T02:00:42",44000,44000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":44000},"continuous improvement team member","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":44000}]
[null,"ID1392","2012-05-29T21:59:35",44000,44000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":44000},"Test engineer","Engineer","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":44000}]
[null,"ID1589","2012-06-01T13:03:18",44000,44000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":44000},"Quality Assurance Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",3.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":44000}]
[null,"ID1040","2012-05-28T13:26:22",55,55000,"NZD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":43867.345148271634},"Financial Analyst","Analyst","New Zealand",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"New Zealand"},"All the 8 hours baby, all the 8!",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":43867.345148271634}]
[null,"ID0971","2012-05-28T06:52:05",43000,43000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":43856.11522531334},"Finance Officer","Manager","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"All the 8 hours baby, all the 8!",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":43856.11522531334}]
[null,"ID1351","2012-05-29T18:21:13",34500,34500,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":43828.780645210471},"Analyst","Analyst","Netherlands",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Netherlands"},"4 to 6 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":43828.780645210471}]
[null,"ID0860","2012-05-27T03:37:36",43600,43600,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":43600},"Data Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":43600}]
[null,"ID0293","2012-05-26T01:18:58",3600,43200,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":43200},"Projects Planner","Manager","Saudi Arabia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Saudi Arabia"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":43200}]
[null,"ID1270","2012-05-29T09:37:40","AUD $43000",43000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":43000},"Operations Support Officer","Manager","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"2 to 3 hours per day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":43000}]
[null,"ID0212","2012-05-26T00:54:41",43000,43000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":43000},"Reporting Analyst Team Lead","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":43000}]
[null,"ID0545","2012-05-26T05:29:58",43000,43000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":43000},"Accountant","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":43000}]
[null,"ID0888","2012-05-27T13:34:12",43000,43000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":43000},"Financial Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":43000}]
[null,"ID1898","2012-06-19T03:25:34",43000,43000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":43000},"Performance Improvement Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":43000}]
[null,"ID1135","2012-05-28T18:30:51","Rs 2400000",2400000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":42739.000049862167},"GM Finance","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":42739.000049862167}]
[null,"ID1500","2012-05-30T22:31:33","33500 â‚¬",33500,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":42558.381206218859},"Controller / VBA Developet","Controller","Germany",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Germany"},"All the 8 hours baby, all the 8!",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":42558.381206218859}]
[null,"ID1362","2012-05-29T19:10:05","27,000.GBP 42,353 USD ",27000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":42556.81334581667},"Engineering Tech","Engineer","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":42556.81334581667}]
[null,"ID1729","2012-06-07T06:22:17","Â£27000",27000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":42556.81334581667},"Network Designer","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":42556.81334581667}]
[null,"ID1786","2012-06-11T05:59:09",27000,27000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":42556.81334581667},"assistant account manager","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":42556.81334581667}]
[null,"ID1787","2012-06-11T05:59:55",27000,27000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":42556.81334581667},"assistant account manager","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":42556.81334581667}]
[null,"ID1827","2012-06-13T04:39:37",42307.199999999997,42307,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":42307},"purchasing operations administrator","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",25,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":42307}]
[null,"ID0216","2012-05-26T00:55:50",42140,42140,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":42140},"Information Analyst II","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":42140}]
[null,"ID1037","2012-05-28T13:06:37",3500,42000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":42000},"Category Operations Supv.","Manager","Kuwait",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Kuwait"},"All the 8 hours baby, all the 8!",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":42000}]
[null,"ID0933","2012-05-27T22:35:22",42000,42000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":42000},"Credit Controller","Controller","Saudi Arabia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Saudi Arabia"},"All the 8 hours baby, all the 8!",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":42000}]
[null,"ID1480","2012-05-30T18:16:05",42000,42000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":42000},"Service Solution Rep","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":42000}]
[null,"ID1618","2012-06-02T06:31:21","42000 US",42000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":42000},"production clerk","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":42000}]
[null,"ID1712","2012-06-06T08:25:56",42000,42000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":42000},"Staff Accountant","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":42000}]
[null,"ID0373","2012-05-26T01:51:24",41932,41932,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":41932},"Buyer","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":41932}]
[null,"ID1691","2012-06-05T19:59:35",33000,33000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":41923.181486723057},"assistant","Analyst","france",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"France"},"4 to 6 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":41923.181486723057}]
[null,"ID1789","2012-06-11T16:55:40","Â£26500",26500,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":41768.724209783031},"Compliance Manager","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",16,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":41768.724209783031}]
[null,"ID0006","2012-05-25T03:28:28",41731,41731,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":41731},"Analyst","Analyst","Iceland",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Iceland"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":41731}]
[null,"ID1880","2012-06-16T18:31:59",2342342,2342342,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":41712.231189497601},"3r23regedf","Misc.","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":41712.231189497601}]
[null,"ID0218","2012-05-26T00:56:37",41600,41600,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":41600},"Project Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":41600}]
[null,"ID0182","2012-05-26T00:50:11",41.405999999999999,41406,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":41406},"Executive Assistant","Analyst","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":41406}]
[null,"ID0090","2012-05-26T00:39:28",42000,42000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":41301.183967273726},"IT Asset Administrator","Analyst","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":41301.183967273726}]
[null,"ID0303","2012-05-26T01:22:40",42000,42000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":41301.183967273726},"Financial Analyst","Analyst","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":41301.183967273726}]
[null,"ID0028","2012-05-25T04:48:33",2700,32400,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":41160.941823328096},"Project Leader","Manager","Belgium",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Belgium"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":41160.941823328096}]
[null,"ID1344","2012-05-29T17:39:55","41000 $",41000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":41000},"PO/PMO/Planner/PM","Manager","Israel",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Israel"},"2 to 3 hours per day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":41000}]
[null,"ID1458","2012-05-30T13:36:48",41000,41000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":41000},"Marketing Analyst","Analyst","Japan",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Japan"},"2 to 3 hours per day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":41000}]
[null,"ID0031","2012-05-25T04:55:48",41000,41000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":41000},"Chief of the department of public budget analisis and forecasting","Manager","Russia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Russia"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":41000}]
[null,"ID0060","2012-05-25T07:00:52",41000,41000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":41000},"Specialist","Specialist","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":41000}]
[null,"ID0214","2012-05-26T00:54:56",41000,41000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":41000},"Operations Expert","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":41000}]
[null,"ID0312","2012-05-26T01:25:05",41000,41000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":41000},"Operations Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":41000}]
[null,"ID0768","2012-05-26T17:24:41",41000,41000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":41000},"Business Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":41000}]
[null,"ID1575","2012-06-01T04:10:52",41000,41000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":41000},"Excel Developer","Consultant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":41000}]
[null,"ID1055","2012-05-28T14:18:40",26000,26000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40980.635073749385},"Consultant","Consultant","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"All the 8 hours baby, all the 8!",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40980.635073749385}]
[null,"ID1232","2012-05-29T02:12:32","Â£26000",26000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40980.635073749385},"Business Analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40980.635073749385}]
[null,"ID1340","2012-05-29T17:17:13","Â£26000",26000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40980.635073749385},"Web Analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40980.635073749385}]
[null,"ID0124","2012-05-26T00:41:58",2300000,2300000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40958.208381117904},"Analytics lead","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40958.208381117904}]
[null,"ID0712","2012-05-26T14:16:14","inr 2300000",2300000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40958.208381117904},"analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40958.208381117904}]
[null,"ID0895","2012-05-27T14:22:11","INR 23 L",2300000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40958.208381117904},"Manager - Business Planning & Reporting","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40958.208381117904}]
[null,"ID0184","2012-05-26T00:50:31",40700,40700,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40700},"Sales Coordinator & Analytical Support","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40700}]
[null,"ID1252","2012-05-29T05:53:42","Â£25750",25750,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40586.590505732565},"Energy Analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40586.590505732565}]
[null,"ID0590","2012-05-26T08:05:23",40414,40414,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40414},"Performance Improvement Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40414}]
[null,"ID0785","2012-05-26T19:29:23","2.25 lakhs per year(prof income)",2250000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40067.812546745779},"company secretary","Accountant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40067.812546745779}]
[null,"ID0322","2012-05-26T01:27:52",40000,40000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40000},"Dp manager","Manager","Hungary",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Hungary"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40000}]
[null,"ID0737","2012-05-26T15:35:43",40000,40000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40000},"Revenue Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40000}]
[null,"ID1145","2012-05-28T19:23:29",40000,40000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40000},"Engineer","Engineer","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40000}]
[null,"ID1878","2012-06-16T17:14:03",40000,40000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40000},"Assistant Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40000}]
[null,"ID0961","2012-05-28T05:07:44",40000,40000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40000},"analyst","Analyst","NZ",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"New Zealand"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40000}]
[null,"ID1231","2012-05-29T02:02:39","$40K",40000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40000},"SOX,SAP, Insurance Coordinator","Manager","Pakistan, Angola",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Pakistan"},"4 to 6 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40000}]
[null,"ID0025","2012-05-25T04:43:51","40000 us",40000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40000},"sales and marketing","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40000}]
[null,"ID0089","2012-05-26T00:39:04",40000,40000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40000},"Admin","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40000}]
[null,"ID0098","2012-05-26T00:40:39",40000,40000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40000},"Sales and Marketing Analyst ","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40000}]
[null,"ID0139","2012-05-26T00:43:27",40000,40000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40000},"Business Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40000}]
[null,"ID0180","2012-05-26T00:49:50",40000,40000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40000},"Senior analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40000}]
[null,"ID0185","2012-05-26T00:50:32",40000,40000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40000},"analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40000}]
[null,"ID0254","2012-05-26T01:05:27",40000,40000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40000},"Business Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40000}]
[null,"ID0272","2012-05-26T01:09:56",40000,40000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40000},"Analyst 2","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40000}]
[null,"ID0280","2012-05-26T01:13:50",40000,40000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40000},"Business Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40000}]
[null,"ID0310","2012-05-26T01:23:57",40000,40000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40000},"Royalties Coordinator","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40000}]
[null,"ID0401","2012-05-26T02:05:58",40000,40000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40000},"Accounting Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40000}]
[null,"ID0495","2012-05-26T03:40:26",40000,40000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40000},"BAS","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40000}]
[null,"ID0831","2012-05-26T23:05:15",40000,40000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40000},"High School Teacher","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40000}]
[null,"ID0858","2012-05-27T03:25:53",40000,40000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40000},"Data Research Assistant","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40000}]
[null,"ID0867","2012-05-27T06:17:41",40000,40000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40000},"IT Capacity Planner","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40000}]
[null,"ID1220","2012-05-29T01:03:19","40,000 US",40000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40000},"Staff Accountant","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40000}]
[null,"ID1265","2012-05-29T08:47:48",40000,40000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40000},"Senior Materials Handler","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",18,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40000}]
[null,"ID1405","2012-05-29T23:06:00",40000,40000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40000},"Transportation Planner","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40000}]
[null,"ID1409","2012-05-29T23:20:41",40000,40000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40000},"Project Coordinator","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40000}]
[null,"ID1419","2012-05-30T00:42:50",40000,40000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40000},"Metrics Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40000}]
[null,"ID1566","2012-06-01T00:18:35","$40,000 USD",40000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40000},"QA Data Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40000}]
[null,"ID1767","2012-06-09T00:49:07",40000,40000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40000},"Market Research Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40000}]
[null,"ID1794","2012-06-11T21:03:36",40000,40000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40000},"Intern","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40000}]
[null,"ID1841","2012-06-14T04:22:36",40000,40000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40000},"Rates Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",0,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40000}]
[null,"ID1851","2012-06-15T02:24:44",40000,40000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40000},"Research Support Specialist","Specialist","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40000}]
[null,"ID1930","2012-06-21T04:06:15",40000,40000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":40000},"Corporate Trainer","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":40000}]
[null,"ID1461","2012-05-30T13:56:27",50000,50000,"NZD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":39879.404680246938},"stress engineer","Engineer","nld",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"New Zealand"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":39879.404680246938}]
[null,"ID0464","2012-05-26T03:08:28",25000,25000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":39404.456801682099},"Analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":39404.456801682099}]
[null,"ID1118","2012-05-28T17:09:40","Â£25000",25000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":39404.456801682099},"Developer","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":39404.456801682099}]
[null,"ID1241","2012-05-29T04:03:07",25000,25000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":39404.456801682099},"Senior Accounts Clerk","Accountant","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":39404.456801682099}]
[null,"ID1472","2012-05-30T16:49:15","Â£25000",25000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":39404.456801682099},"Assistant Financial Accountant","Accountant","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",35,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":39404.456801682099}]
[null,"ID1562","2012-05-31T23:09:08","Â£25000",25000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":39404.456801682099},"Reporting Team Lead","Reporting","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":39404.456801682099}]
[null,"ID1905","2012-06-19T18:17:42",25000,25000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":39404.456801682099},"Data Analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":39404.456801682099}]
[null,"ID1366","2012-05-29T19:31:32","2.21Lac",2210000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":39355.495879248076},"Marketing","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",5.6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":39355.495879248076}]
[null,"ID1800","2012-06-12T01:55:12",40000,40000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":39334.460921213074},"Machine Scheduler","Analyst","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"1 or 2 hours a day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":39334.460921213074}]
[null,"ID1389","2012-05-29T21:50:30",39000,39000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":39000},"I.T Manager","Manager","South Africa",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"South Africa"},"All the 8 hours baby, all the 8!",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":39000}]
[null,"ID0631","2012-05-26T11:17:56",39000,39000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":39000},"Content Analyst ","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":39000}]
[null,"ID1873","2012-06-16T05:23:03",38666,38666,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":38666},"Actuarial Specialist","Specialist","South Africa",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"South Africa"},"All the 8 hours baby, all the 8!",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":38666}]
[null,"ID1143","2012-05-28T19:09:37",30000,30000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":38111.983169748237},"Translator","Analyst","Belgium",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Belgium"},"1 or 2 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":38111.983169748237}]
[null,"ID1298","2012-05-29T13:16:59","30000 EUR",30000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":38111.983169748237},"Employee","Analyst","Belgium",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Belgium"},"2 to 3 hours per day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":38111.983169748237}]
[null,"ID1239","2012-05-29T03:51:09",30,30000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":38111.983169748237},"education advisor","Consultant","the Netherlands",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Netherlands"},"1 or 2 hours a day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":38111.983169748237}]
[null,"ID0849","2012-05-27T01:30:55","30000 eur",30000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":38111.983169748237},"financialcotroller","Accountant","portugal",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Portugal"},"All the 8 hours baby, all the 8!",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":38111.983169748237}]
[null,"ID1671","2012-06-04T23:38:47","30000 â‚¬",30000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":38111.983169748237},"Safety technician","Analyst","Spain",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Spain"},"1 or 2 hours a day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":38111.983169748237}]
[null,"ID0059","2012-05-25T06:57:52",38000,38000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":38000},"Senior Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":38000}]
[null,"ID0572","2012-05-26T06:50:23",38000,38000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":38000},"Costing Analysis","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",11,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":38000}]
[null,"ID1530","2012-05-31T09:28:05",38000,38000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":38000},"Accountant","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",11,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":38000}]
[null,"ID1611","2012-06-02T02:28:30",38000,38000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":38000},"Business Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":38000}]
[null,"ID0114","2012-05-26T00:41:28",37900,37900,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":37900},"Accounting Coordinator","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":37900}]
[null,"ID0755","2012-05-26T16:34:57","Â£ 24000",24000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":37828.278529614821},"Business Support Specialist","Specialist","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"All the 8 hours baby, all the 8!",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":37828.278529614821}]
[null,"ID1017","2012-05-28T11:58:39","R308 500",308500,"ZAR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":37612.869087708088},"Management Information Consultant","Manager","South Africa",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"South Africa"},"All the 8 hours baby, all the 8!",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":37612.869087708088}]
[null,"ID1850","2012-06-15T01:10:09",37500,37500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":37500},"consultant","Consultant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",0,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"03 | 37500 - 50000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":37500}]
[null,"ID0154","2012-05-26T00:45:06",37440,37440,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":37440},"sales analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":37440}]
[null,"ID0663","2012-05-26T12:31:29",37000,37000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":37000},"Cad Engineer","Engineer","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":37000}]
[null,"ID1404","2012-05-29T22:56:24","37K",37000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":37000},"Credentialing Coordinator & Productivity Reports \"Guru\"","Reporting","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",30,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":37000}]
[null,"ID0892","2012-05-27T13:45:47",36500,36500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":36500},"Accountant","Accountant","Saudi Arabia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Saudi Arabia"},"4 to 6 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":36500}]
[null,"ID0917","2012-05-27T17:24:09",36400,36400,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":36400},"Analyst","Analyst","Zimbabwe",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Zimbabwe"},"4 to 6 hours a day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":36400}]
[null,"ID1093","2012-05-28T16:01:05","Â£23000",23000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":36252.100257547536},"Data Analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"All the 8 hours baby, all the 8!",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":36252.100257547536}]
[null,"ID1148","2012-05-28T19:32:15","Â£23000",23000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":36252.100257547536},"Data Management Officer","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":36252.100257547536}]
[null,"ID1315","2012-05-29T15:08:12","â‚¬ 28500",28500,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":36206.384011260823},"Salary Professsional","Analyst","Netherlands",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Netherlands"},"1 or 2 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":36206.384011260823}]
[null,"ID0784","2012-05-26T19:22:53","AUS$36000",36000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":36000},"Key Expert User","Manager","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"2 to 3 hours per day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":36000}]
[null,"ID1635","2012-06-03T02:54:32",36000,36000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":36000},"Environmental Adviser","Consultant","Azerbaijan",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Azerbaijan"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":36000}]
[null,"ID0914","2012-05-27T17:10:36",36000,36000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":36000},"QA Supervisor","Controller","Czech Republic",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Czech Republic"},"2 to 3 hours per day",9,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":36000}]
[null,"ID1310","2012-05-29T14:55:21","36K",36000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":36000},"Administrative Assistant","Analyst","Kuwait",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Kuwait"},"2 to 3 hours per day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":36000}]
[null,"ID0988","2012-05-28T08:39:53",3000,36000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":36000},"Project manager","Manager","malaysia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Malaysia"},"1 or 2 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":36000}]
[null,"ID0284","2012-05-26T01:15:12","36000 $",36000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":36000},"Senior Specialist","Specialist","Russia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Russia"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":36000}]
[null,"ID0594","2012-05-26T08:17:53","$36 000",36000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":36000},"Consulting","Consultant","Russia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Russia"},"All the 8 hours baby, all the 8!",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":36000}]
[null,"ID0129","2012-05-26T00:42:32","36000 usd",36000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":36000},"senior accountant","Accountant","Turkey",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Turkey"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":36000}]
[null,"ID0752","2012-05-26T16:29:36",36000,36000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":36000},"ENGINEER","Engineer","uae",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UAE"},"1 or 2 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":36000}]
[null,"ID0952","2012-05-28T01:29:19",3000,36000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":36000},"Accountant","Accountant","United Arab Emirates",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UAE"},"4 to 6 hours a day",4.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":36000}]
[null,"ID0092","2012-05-26T00:39:38",36000,36000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":36000},"Graphic Design Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":36000}]
[null,"ID0106","2012-05-26T00:40:57",36000,36000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":36000},"Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":36000}]
[null,"ID0302","2012-05-26T01:22:22","36,000 USD",36000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":36000},"PRODUCTION ASSISTANT","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":36000}]
[null,"ID1380","2012-05-29T21:27:23",36000,36000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":36000},"Data Specialist","Specialist","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":36000}]
[null,"ID1741","2012-06-07T23:48:29",36000,36000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":36000},"clerk","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":36000}]
[null,"ID1899","2012-06-19T04:55:06",28000,28000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":35571.184291765021},"controller","Controller","Spain",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Spain"},"4 to 6 hours a day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":35571.184291765021}]
[null,"ID1613","2012-06-02T03:13:57",35500,35500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":35500},"SAS Adminstrator","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":35500}]
[null,"ID1714","2012-06-06T11:21:08",36000,36000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":35401.014829091764},"data organizer","Analyst","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"All the 8 hours baby, all the 8!",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":35401.014829091764}]
[null,"ID1783","2012-06-10T20:30:23","Â£22300",22300,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":35148.775467100437},"Analysis & insight consultant","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"All the 8 hours baby, all the 8!",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":35148.775467100437}]
[null,"ID1609","2012-06-02T01:43:24",2300,27600,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":35063.024516168378},"controller","Controller","Hungary",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Hungary"},"All the 8 hours baby, all the 8!",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":35063.024516168378}]
[null,"ID0368","2012-05-26T01:50:00",35000,35000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":35000},"Senior Treasury Analyst","Analyst","Brasil",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Brazil"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":35000}]
[null,"ID0731","2012-05-26T15:07:39",35000,35000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":35000},"Associate","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":35000}]
[null,"ID1277","2012-05-29T10:11:28",35000,35000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":35000},"AVP Securitisation","CXO or Top Mgmt.","Malaysia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Malaysia"},"All the 8 hours baby, all the 8!",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":35000}]
[null,"ID0416","2012-05-26T02:17:01",35000,35000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":35000},"Credit Analyst","Analyst","Russia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Russia"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":35000}]
[null,"ID0862","2012-05-27T04:05:28",35000,35000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":35000},"Purchasing Manager","Manager","Uruguay",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Uruguay"},"All the 8 hours baby, all the 8!",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":35000}]
[null,"ID0151","2012-05-26T00:44:40",35000,35000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":35000},"Program Services Coordinator","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":35000}]
[null,"ID0558","2012-05-26T05:50:26",35000,35000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":35000},"Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":35000}]
[null,"ID0562","2012-05-26T06:08:23",35000,35000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":35000},"Technical Support Technician","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":35000}]
[null,"ID0704","2012-05-26T13:49:54",35000,35000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":35000},"IT Specialist","Specialist","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":35000}]
[null,"ID1152","2012-05-28T20:20:54",35000,35000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":35000},"BI Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":35000}]
[null,"ID1664","2012-06-04T19:11:18","Â£22k",22000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":34675.92198548025},"Supply/Demand Planner","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",17,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":34675.92198548025}]
[null,"ID0996","2012-05-28T09:38:29",35000,35000,"CAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":34417.653306061438},"Reporting Analyst","Analyst","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"All the 8 hours baby, all the 8!",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":34417.653306061438}]
[null,"ID0747","2012-05-26T16:12:09","GBP21798",21798,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":34357.533974522659},"Data Analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"All the 8 hours baby, all the 8!",1.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":34357.533974522659}]
[null,"ID0261","2012-05-26T01:07:42",1920000,1920000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":34191.200039889729},"Project Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":34191.200039889729}]
[null,"ID1546","2012-05-31T17:21:45",34000,34000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":34000},"Sr Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":34000}]
[null,"ID0404","2012-05-26T02:07:28",34000,34000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":34000},"Information Research Technician II","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":34000}]
[null,"ID0803","2012-05-26T21:13:51",33900,33900,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":33900},"Administrative Assistant","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":33900}]
[null,"ID1615","2012-06-02T03:29:19","Â£21500Uk",21500,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":33887.832849446611},"Data Analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"All the 8 hours baby, all the 8!",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":33887.832849446611}]
[null,"ID1797","2012-06-11T22:21:25",33600,33600,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":33600},"Executive","Analyst","Singapore",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Singapore"},"All the 8 hours baby, all the 8!",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":33600}]
[null,"ID1798","2012-06-11T22:22:00",33600,33600,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":33600},"Executive","Analyst","Singapore",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Singapore"},"All the 8 hours baby, all the 8!",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":33600}]
[null,"ID0689","2012-05-26T13:18:32","33,500 US $",33500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":33500},"Sr. Executive Finance & Accounts","Accountant","Dubai",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Dubai"},"1 or 2 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":33500}]
[null,"ID0074","2012-05-25T23:01:20",2785,33420,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":33420},"Process Flow Coordinator","Manager","United Arab Emirates",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UAE"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":33420}]
[null,"ID1828","2012-06-13T04:40:03",33250,33250,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":33250},"Planning and Logistics Coordinator","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":33250}]
[null,"ID0575","2012-05-26T07:01:10","Â£21000",21000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":33099.743713412965},"Sales Analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"All the 8 hours baby, all the 8!",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":33099.743713412965}]
[null,"ID1373","2012-05-29T20:03:07",33000,33000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":33000},"Quality Control Supervisor","Controller","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":33000}]
[null,"ID1617","2012-06-02T06:21:45",32884.800000000003,32884,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":32884},"Administrative Assistant","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":32884}]
[null,"ID1127","2012-05-28T17:42:22","AED 120000",120000,"AED",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":32666.305522511171},"Finance Manager","Manager","UAE",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UAE"},"2 to 3 hours per day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":32666.305522511171}]
[null,"ID1882","2012-06-16T22:24:30",20500,20500,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":32311.654577379326},"analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":32311.654577379326}]
[null,"ID1460","2012-05-30T13:47:51","zar22000",264000,"ZAR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":32187.34988380854},"Analyst","Analyst","SouthAfrica",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"South Africa"},"All the 8 hours baby, all the 8!",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":32187.34988380854}]
[null,"ID0205","2012-05-26T00:53:46","INR18Lacs or US$36000",1800000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":32054.250037396621},"Chief Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":32054.250037396621}]
[null,"ID0617","2012-05-26T10:43:53",1800000,1800000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":32054.250037396621},"AGM Finance","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":32054.250037396621}]
[null,"ID1612","2012-06-02T03:08:50",1800000,1800000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":32054.250037396621},"analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":32054.250037396621}]
[null,"ID0856","2012-05-27T03:19:29",32000,32000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":32000},"Reporting Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":32000}]
[null,"ID1505","2012-05-30T23:26:00",32000,32000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":32000},"Reports Writer","Reporting","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":32000}]
[null,"ID0311","2012-05-26T01:24:03","Â£20000/year but i work part time 30h/week",20000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":31523.565441345683},"Graduate Structural Engineer","Engineer","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":31523.565441345683}]
[null,"ID0555","2012-05-26T05:48:12","Â£20000",20000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":31523.565441345683},"IT Consultant","Consultant","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":31523.565441345683}]
[null,"ID1083","2012-05-28T15:35:32",20000,20000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":31523.565441345683},"finance assistant","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":31523.565441345683}]
[null,"ID1257","2012-05-29T07:28:41",20000,20000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":31523.565441345683},"Environmental Information Analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":31523.565441345683}]
[null,"ID1607","2012-06-01T23:29:43","Â£20000",20000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":31523.565441345683},"Operations Analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"All the 8 hours baby, all the 8!",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":31523.565441345683}]
[null,"ID1863","2012-06-15T17:35:32",20000,20000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":31523.565441345683},"Accountant","Accountant","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":31523.565441345683}]
[null,"ID0086","2012-05-26T00:11:21","US $ 31330.00",31330,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":31330},"VBA Analyst","Analyst","Brazil",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Brazil"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":31330}]
[null,"ID0722","2012-05-26T14:57:39",31250,31250,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":31250},"Program management","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":31250}]
[null,"ID1750","2012-06-08T08:15:54",31200,31200,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":31200},"Risk analyst","Analyst","Brazil",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Brazil"},"4 to 6 hours a day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":31200}]
[null,"ID1665","2012-06-04T19:46:09","2600 $",31200,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":31200},"Economist","Reporting","ISRAEL",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Israel"},"All the 8 hours baby, all the 8!",11,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":31200}]
[null,"ID1571","2012-06-01T02:33:02",31200,31200,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":31200},"Data Analyst","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":31200}]
[null,"ID0255","2012-05-26T01:06:02","$31,000 USD",31000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":31000},"Site Technician","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":31000}]
[null,"ID0299","2012-05-26T01:20:46",31000,31000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":31000},"Support Specialist ","Specialist","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":31000}]
[null,"ID1678","2012-06-05T03:55:36","US$ 30500",30500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":30500},"Financial Analyst","Analyst","Brazil",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Brazil"},"All the 8 hours baby, all the 8!",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":30500}]
[null,"ID0053","2012-05-25T06:09:44","2000 Euros",24000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":30489.586535798586},"PPC Manager","Manager","Germany",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Germany"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":30489.586535798586}]
[null,"ID1323","2012-05-29T15:46:17","about 24.000 â‚¬",24000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":30489.586535798586},"Controller","Controller","Italy",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"italy"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":30489.586535798586}]
[null,"ID0826","2012-05-26T23:02:00","INR 1700000",1700000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":30273.458368652366},"Operations Lead","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",1.1000000000000001,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":30273.458368652366}]
[null,"ID1592","2012-06-01T15:09:27",1700000,1700000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":30273.458368652366},"AVP","CXO or Top Mgmt.","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":30273.458368652366}]
[null,"ID0767","2012-05-26T17:24:41",30232,30232,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":30232},"Accounts Supervisor","Accountant","KSA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":30232}]
[null,"ID1853","2012-06-15T03:00:04",30000,30000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":30000},"Trainee","Analyst","Brazil",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Brazil"},"2 to 3 hours per day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":30000}]
[null,"ID0402","2012-05-26T02:06:38",30000,30000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":30000},"ceo","CXO or Top Mgmt.","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":30000}]
[null,"ID0842","2012-05-27T00:12:53",30000,30000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":30000},"MIS Executive","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":30000}]
[null,"ID1273","2012-05-29T09:47:47",30000,30000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":30000},"Practice Manager - Business Operations","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":30000}]
[null,"ID1567","2012-06-01T00:23:54",30000,30000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":30000},"SME","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":30000}]
[null,"ID0827","2012-05-26T23:03:21","US$30,000",30000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":30000},"Financial Control Section Headm","Controller","Inonesia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Indonesia"},"4 to 6 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":30000}]
[null,"ID0941","2012-05-27T23:47:25","30000 $",30000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":30000},"Financial Expert","Accountant","Iran",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"iran"},"2 to 3 hours per day",30,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":30000}]
[null,"ID1781","2012-06-10T15:59:17",30000,30000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":30000},"Teacher","Analyst","Malaysia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Malaysia"},"1 or 2 hours a day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":30000}]
[null,"ID1162","2012-05-28T22:10:12",30000,30000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":30000},"pricing and cost manager","Manager","mexico",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Mexico"},"All the 8 hours baby, all the 8!",17,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":30000}]
[null,"ID1545","2012-05-31T17:08:59",30000,30000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":30000},"Marketing Services Manager","Manager","Pakistan",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Pakistan"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":30000}]
[null,"ID0429","2012-05-26T02:29:37","30000 $",30000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":30000},"BI Developer","Reporting","Romania",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Romania"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":30000}]
[null,"ID1453","2012-05-30T13:06:12",30000,30000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":30000},"Accounting Specialist","Accountant","UAE",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UAE"},"4 to 6 hours a day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":30000}]
[null,"ID0039","2012-05-25T05:11:37",30000,30000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":30000},"Academic Advisor","Consultant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":30000}]
[null,"ID0428","2012-05-26T02:27:50","US $30,000.00 ",30000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":30000},"Supervisor","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":30000}]
[null,"ID0478","2012-05-26T03:19:00",30000,30000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":30000},"video production","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"Excel ?!? What Excel?","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":30000}]
[null,"ID0612","2012-05-26T10:20:35",30000,30000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":30000},"Sales Assistant","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":30000}]
[null,"ID1747","2012-06-08T03:34:51",30000,30000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":30000},"Inventory Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":30000}]
[null,"ID1763","2012-06-08T21:02:48",30000,30000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":30000},"Customer Service","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":30000}]
[null,"ID1059","2012-05-28T14:30:05","ZAR240000",240000,"ZAR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":29261.227167098674},"Bookkeeper","Accountant","South Africa",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"South Africa"},"2 to 3 hours per day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":29261.227167098674}]
[null,"ID0179","2012-05-26T00:49:48",18500,18500,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":29159.298033244755},"Trainee Management Accountant","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":29159.298033244755}]
[null,"ID0341","2012-05-26T01:35:35",29000,29000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":29000},"Assistant Outside Plant Project Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":29000}]
[null,"ID1855","2012-06-15T05:44:30",29000,29000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":29000},"Customer Experence Engineer","Engineer","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":29000}]
[null,"ID1758","2012-06-08T18:48:12",28995,28995,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":28995},"Senior Executive","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":28995}]
[null,"ID1071","2012-05-28T14:53:44","1600000Rs",1600000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":28492.66669990811},"Manager Fin","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",9,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":28492.66669990811}]
[null,"ID1345","2012-05-29T17:45:59","16,00,000",1600000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":28492.66669990811},"Senior Associate ","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":28492.66669990811}]
[null,"ID0057","2012-05-25T06:27:29","Â£18000",18000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":28371.208897211112},"Building Design and Performance Researcher","Manager","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":28371.208897211112}]
[null,"ID1279","2012-05-29T10:45:46","MYR89500",89500,"MYR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":28353.650809742252},"Manager","Manager","Malaysia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Malaysia"},"2 to 3 hours per day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":28353.650809742252}]
[null,"ID0920","2012-05-27T19:39:26",104000,104000,"AED",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":28310.79811950968},"Financial Analyst","Analyst","UAE",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UAE"},"4 to 6 hours a day",11,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":28310.79811950968}]
[null,"ID0412","2012-05-26T02:14:05","Â¢ 14.000.000,00",14000000,"COSTARICAN",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":28109.627547434993},"Businees Adminstratot","Analyst","Costa Rica",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Costa Rica"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":28109.627547434993}]
[null,"ID1038","2012-05-28T13:10:02",28000,28000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":28000},"BI","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":28000}]
[null,"ID1180","2012-05-28T22:50:51",28000,28000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":28000},"Business Intelligence Manager","Manager","Poland",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Poland"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":28000}]
[null,"ID0192","2012-05-26T00:51:43",28000,28000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":28000},"Administrative Assistant","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":28000}]
[null,"ID1183","2012-05-28T22:53:03",27840,27840,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":27840},"Data Entry Clerk III","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":27840}]
[null,"ID0265","2012-05-26T01:08:21",2300,27600,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":27600},"Software Consultant","Consultant","Singapore",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Singapore"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":27600}]
[null,"ID0564","2012-05-26T06:14:13",27500,27500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":27500},"Associate","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":27500}]
[null,"ID0287","2012-05-26T01:17:11","AED100000",100000,"AED",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":27221.92126875931},"Accountant","Accountant","Dubai",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Dubai"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":27221.92126875931}]
[null,"ID0213","2012-05-26T00:54:46",27000,27000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":27000},"Innovation Analyst","Analyst","Singapore",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Singapore"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":27000}]
[null,"ID1470","2012-05-30T16:22:19","Â£17000",17000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":26795.030625143831},"Verification Agent","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":26795.030625143831}]
[null,"ID0286","2012-05-26T01:16:18","INR 15,00,000",1500000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":26711.875031163851},"Consultant","Consultant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":26711.875031163851}]
[null,"ID1304","2012-05-29T13:54:38","Rs 1500000",1500000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":26711.875031163851},"Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":26711.875031163851}]
[null,"ID1512","2012-05-31T01:17:48",1500000,1500000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":26711.875031163851},"Senior Consultant - PMO","Consultant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":26711.875031163851}]
[null,"ID1171","2012-05-28T22:41:01","R$ 54000",54000,"BRL",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":26691.183012544854},"Logistics Coordinator","Manager","Brazil",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Brazil"},"1 or 2 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":26691.183012544854}]
[null,"ID1598","2012-06-01T19:46:33","21000EUR",21000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":26678.388218823762},"Coordenador PeÃ§as Grupo","Manager","Portugal",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Portugal"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":26678.388218823762}]
[null,"ID1689","2012-06-05T19:16:03",21000,21000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":26678.388218823762},"Sales Planning","Analyst","Portugal",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Portugal"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":26678.388218823762}]
[null,"ID0877","2012-05-27T11:32:17",26400,26400,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":26400},"Supply Chain Administrator","Analyst","UAE",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UAE"},"All the 8 hours baby, all the 8!",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":26400}]
[null,"ID0921","2012-05-27T19:41:55",20500,20500,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":26043.18849932796},"C&B Manager","Manager","Poland",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Poland"},"4 to 6 hours a day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":26043.18849932796}]
[null,"ID0081","2012-05-25T23:33:15",26000,26000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":26000},"Marketing Analyst","Analyst","Panama",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Panama"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":26000}]
[null,"ID0513","2012-05-26T04:19:05","Â£16400",16400,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":25849.323661903458},"Job Build analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":25849.323661903458}]
[null,"ID0883","2012-05-27T12:41:29","US 2130",25560,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":25560},"Training Coordinator","Manager","saudi arabia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Saudi Arabia"},"4 to 6 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":25560}]
[null,"ID1208","2012-05-29T00:07:36",20000,20000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":25407.988779832154},"warehouse management","Manager","GREECE",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Greece"},"1 or 2 hours a day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":25407.988779832154}]
[null,"ID0252","2012-05-26T01:05:14",25000,25000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":25000},"Team Lead","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":25000}]
[null,"ID0362","2012-05-26T01:45:58",25000,25000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":25000},"Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":25000}]
[null,"ID1437","2012-05-30T02:39:50",25000,25000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":25000},"Accountant","Accountant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":25000}]
[null,"ID1487","2012-05-30T19:43:43",25000,25000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":25000},"data analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":25000}]
[null,"ID1726","2012-06-06T22:42:16",25000,25000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":25000},"exe","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":25000}]
[null,"ID1886","2012-06-17T12:00:57",25000,25000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":25000},"Data Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",1.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":25000}]
[null,"ID1908","2012-06-19T20:35:35",25000,25000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":25000},"Team Lead","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"02 | 25000 - 37500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":25000}]
[null,"ID0313","2012-05-26T01:25:06",1400000,1400000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":24931.083362419595},"Marketing","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":24931.083362419595}]
[null,"ID1861","2012-06-15T16:36:47",1400000,1400000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":24931.083362419595},"Manager - Controlling","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":24931.083362419595}]
[null,"ID1549","2012-05-31T18:35:30",24864,24864,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":24864},"Brand manager","Manager","Libya",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Libya"},"All the 8 hours baby, all the 8!",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":24864}]
[null,"ID1072","2012-05-28T14:56:27",15600,15600,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":24588.381044249632},"business data analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"All the 8 hours baby, all the 8!",0,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":24588.381044249632}]
[null,"ID1829","2012-06-13T05:20:32","1600â‚¬ net monthly",19200,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":24391.669228638868},"bank clerk","Analyst","italy",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"italy"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":24391.669228638868}]
[null,"ID1187","2012-05-28T22:59:16",2000,24000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":24000},"Administration Manager","Manager","Argentina",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Argentina"},"4 to 6 hours a day",21,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":24000}]
[null,"ID0119","2012-05-26T00:41:38",2000,24000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":24000},"Researcher","Manager","Colombia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Colombia"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":24000}]
[null,"ID0812","2012-05-26T22:07:39","24000 $",24000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":24000},"Logistic KA Manager","Manager","Croatia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Croatia"},"2 to 3 hours per day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":24000}]
[null,"ID0762","2012-05-26T17:06:48",2000,24000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":24000},"Asst Production Planner","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":24000}]
[null,"ID0931","2012-05-27T22:05:15",24000,24000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":24000},"business analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":24000}]
[null,"ID0943","2012-05-27T23:52:48","usd 2000 per month",24000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":24000},"sr manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":24000}]
[null,"ID0479","2012-05-26T03:21:26",2000,24000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":24000},"engineer","Engineer","mozambique",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Mozambique"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":24000}]
[null,"ID1848","2012-06-15T00:52:38",2000,24000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":24000},"Plant Controller","Controller","Russia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Russia"},"All the 8 hours baby, all the 8!",23,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":24000}]
[null,"ID0670","2012-05-26T12:52:37",24000,24000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":24000},"Management Accountant","Manager","Saudi Arabai",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Saudi Arabia"},"4 to 6 hours a day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":24000}]
[null,"ID1336","2012-05-29T17:05:31",24000,24000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":24000},"Dir. Revenue Mgt","Manager","Kingdom of Saudi Arabia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Saudi Arabia"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":24000}]
[null,"ID0671","2012-05-26T12:53:43","Us$24000",24000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":24000},"Accountant","Accountant","UAE",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UAE"},"2 to 3 hours per day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":24000}]
[null,"ID0096","2012-05-26T00:40:27",24000,24000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":24000},"Paraeducator","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":24000}]
[null,"ID0430","2012-05-26T02:31:24",24,24000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":24000},"engineer","Engineer","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":24000}]
[null,"ID1377","2012-05-29T21:07:27",24000,24000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":24000},"clerk 24 hrs per week","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day",33,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":24000}]
[null,"ID1438","2012-05-30T03:20:17","24000 USD",24000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":24000},"inventory controller","Controller","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":24000}]
[null,"ID1133","2012-05-28T18:05:16","Â£15000",15000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":23642.674081009263},"MI Specialist","Reporting","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"All the 8 hours baby, all the 8!",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":23642.674081009263}]
[null,"ID0165","2012-05-26T00:47:45","Rs. 1300000",1300000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":23150.291693675339},"Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":23150.291693675339}]
[null,"ID0911","2012-05-27T16:24:50",1300000,1300000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":23150.291693675339},"banker","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":23150.291693675339}]
[null,"ID1779","2012-06-10T14:58:39",1300000,1300000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":23150.291693675339},"Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",9,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":23150.291693675339}]
[null,"ID0502","2012-05-26T04:01:45","23000 USD",23000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":23000},"IT solutions coordinator","Manager","Hungary",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Hungary"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":23000}]
[null,"ID1209","2012-05-29T00:12:23",23000,23000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":23000},"Chief Accountant","Accountant","Saudi Arabia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Saudi Arabia"},"All the 8 hours baby, all the 8!",14,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":23000}]
[null,"ID0168","2012-05-26T00:48:04",22880,22880,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":22880},"Accounting ","Accountant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":22880}]
[null,"ID0379","2012-05-26T01:57:40",1500,18000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":22867.189901848938},"marketing and sales ","Manager","Portugal",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Portugal"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":22867.189901848938}]
[null,"ID0578","2012-05-26T07:15:48","$22,000 AUD",22000,"AUD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":22438.012440857987},"Sales Analyst","Analyst","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"4 to 6 hours a day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":22438.012440857987}]
[null,"ID0288","2012-05-26T01:17:50",22000,22000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":22000},"MIS","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":22000}]
[null,"ID1722","2012-06-06T20:41:35",22000,22000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":22000},"Manager (MIS)","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":22000}]
[null,"ID0330","2012-05-26T01:31:42","22000 usd",22000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":22000},"Product Manager Sr","Manager","Mexico",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Mexico"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":22000}]
[null,"ID1526","2012-05-31T06:23:09",22000,22000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":22000},"Data Manager","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":22000}]
[null,"ID1759","2012-06-08T18:52:06",1230000,1230000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":21903.737525554359},"Financial Analyst ","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":21903.737525554359}]
[null,"ID0657","2012-05-26T12:25:09",21500,21500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":21500},"Asst Mgr","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",9,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":21500}]
[null,"ID0238","2012-05-26T01:02:07",1200000,1200000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":21369.500024931083},"Branch head -sales","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":21369.500024931083}]
[null,"ID0770","2012-05-26T17:44:34","Rs 1200000",1200000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":21369.500024931083},"Regional Formwork Head ","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",14,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":21369.500024931083}]
[null,"ID0845","2012-05-27T00:33:06","1200000 Rs",1200000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":21369.500024931083},"project manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",18,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":21369.500024931083}]
[null,"ID0896","2012-05-27T14:27:33","rs 100000",1200000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":21369.500024931083},"ASST VICE PREDISDENT","CXO or Top Mgmt.","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",17,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":21369.500024931083}]
[null,"ID0999","2012-05-28T09:43:33","1200000 INR",1200000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":21369.500024931083},"Senior Consultant","Consultant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":21369.500024931083}]
[null,"ID1054","2012-05-28T14:12:52","Rs. 1200000",1200000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":21369.500024931083},"Management Trainee","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":21369.500024931083}]
[null,"ID1068","2012-05-28T14:50:03",100000,1200000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":21369.500024931083},"executive","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":21369.500024931083}]
[null,"ID1084","2012-05-28T15:37:23",1200000,1200000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":21369.500024931083},"finance controller","Controller","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":21369.500024931083}]
[null,"ID1110","2012-05-28T16:45:28",100000,1200000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":21369.500024931083},"coordinator","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":21369.500024931083}]
[null,"ID1318","2012-05-29T15:24:45",1200000,1200000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":21369.500024931083},"Manager - Corporate strategy and Planning","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",9,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":21369.500024931083}]
[null,"ID1342","2012-05-29T17:30:43",1200000,1200000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":21369.500024931083},"Consultant","Consultant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",21,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":21369.500024931083}]
[null,"ID1836","2012-06-13T19:40:16",1200000,1200000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":21369.500024931083},"AM","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":21369.500024931083}]
[null,"ID1774","2012-06-10T01:48:44",1400,16800,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":21342.710575059013},"account","Accountant","portugal",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Portugal"},"4 to 6 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":21342.710575059013}]
[null,"ID1190","2012-05-28T23:06:22","Rupees : 2,000,000",2000000,"PKR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":21228.177433598263},"Excel Corporate Trainer","Consultant","Pakistan",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Pakistan"},"All the 8 hours baby, all the 8!",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":21228.177433598263}]
[null,"ID0103","2012-05-26T00:40:48",21000,21000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":21000},"IT support","Analyst","arabian Gulf",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Arabian Gulf"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":21000}]
[null,"ID0619","2012-05-26T10:54:22",21000,21000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":21000},"Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",23,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":21000}]
[null,"ID1929","2012-06-21T03:46:23",21000,21000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":21000},"eorl","Misc.","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":21000}]
[null,"ID1846","2012-06-14T22:03:05",1720,20640,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":20640},"Programme Officer","Manager","Singapore",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Singapore"},"4 to 6 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":20640}]
[null,"ID0938","2012-05-27T23:32:30",20571,20571,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":20571},"CFO","CXO or Top Mgmt.","Albania",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Albania"},"4 to 6 hours a day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":20571}]
[null,"ID0796","2012-05-26T20:57:13","Rs. 8000",1152000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":20514.720023933838},"Cashier","Accountant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":20514.720023933838}]
[null,"ID0688","2012-05-26T13:18:03","inr 11.5",1150000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":20479.104190558952},"manager portfolio monitoring","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":20479.104190558952}]
[null,"ID1466","2012-05-30T14:28:57","Rs. 1150000/-",1150000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":20479.104190558952},"Project Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":20479.104190558952}]
[null,"ID1471","2012-05-30T16:48:32",1700,20400,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":20400},"M & E Officer","Manager","Myanmar [Burma]",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Myanmar"},"1 or 2 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":20400}]
[null,"ID1057","2012-05-28T14:22:02","16000 euro",16000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":20326.391023865726},"Management Information Systems","Manager","Greece",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Greece"},"All the 8 hours baby, all the 8!",16,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":20326.391023865726}]
[null,"ID1760","2012-06-08T18:52:44",1130000,1130000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":20122.945856810104},"Financial Analyst ","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":20122.945856810104}]
[null,"ID0975","2012-05-28T07:23:07",20000,20000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":20000},"data analyst","Analyst","Australia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Australia"},"2 to 3 hours per day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":20000}]
[null,"ID1823","2012-06-13T00:50:20",20000,20000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":20000},"administrator","Analyst","Canada",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Canada"},"2 to 3 hours per day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":20000}]
[null,"ID0763","2012-05-26T17:07:30",20000,20000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":20000},"Consultat","Consultant","Denmark",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Denmark"},"2 to 3 hours per day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":20000}]
[null,"ID1831","2012-06-13T11:58:30",20000,20000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":20000},"Personal Assistant","Analyst","Hong Kong",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Hong Kong"},"1 or 2 hours a day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":20000}]
[null,"ID0250","2012-05-26T01:04:17",20000,20000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":20000},"category manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":20000}]
[null,"ID0279","2012-05-26T01:12:41",20000,20000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":20000},"Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":20000}]
[null,"ID0474","2012-05-26T03:15:50",20000,20000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":20000},"Specialist","Specialist","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":20000}]
[null,"ID0491","2012-05-26T03:34:04","20000 US$",20000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":20000},"Consultant","Consultant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":20000}]
[null,"ID0753","2012-05-26T16:33:58",20000,20000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":20000},"engineer","Engineer","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":20000}]
[null,"ID1399","2012-05-29T22:32:16",20000,20000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":20000},"Business Operation Specialist","Specialist","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":20000}]
[null,"ID1455","2012-05-30T13:25:12",20000,20000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":20000},"manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"Excel ?!? What Excel?",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":20000}]
[null,"ID1606","2012-06-01T22:20:26","20000 $",20000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":20000},"Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":20000}]
[null,"ID1918","2012-06-20T01:54:10",20000,20000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":20000},"Monitoring and Evaluation Officer","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":20000}]
[null,"ID1019","2012-05-28T12:09:37","usd 20.000",20000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":20000},"Head of Financial Reporting","Reporting","Paraguay",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Paraguay"},"All the 8 hours baby, all the 8!",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":20000}]
[null,"ID0950","2012-05-28T00:48:23",20000,20000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":20000},"Financial Modeller","Accountant","Zambia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Zambia"},"All the 8 hours baby, all the 8!",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":20000}]
[null,"ID0740","2012-05-26T15:53:10",10000,120000,"EGYPT",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":19831.432821021317},"Estimator","Analyst","Egypt",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Egypt"},"All the 8 hours baby, all the 8!",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":19831.432821021317}]
[null,"ID0834","2012-05-26T23:17:09","15600 â‚¬",15600,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":19818.231248269083},"Managment controller","Controller","Portugal",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Portugal"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":19818.231248269083}]
[null,"ID0175","2012-05-26T00:48:57","Rd. 11 lakhs",1100000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":19588.708356186824},"Asst manager investor relations and business analytics","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":19588.708356186824}]
[null,"ID0443","2012-05-26T02:43:21",1100000,1100000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":19588.708356186824},"manager - MIS & operations planning","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":19588.708356186824}]
[null,"ID1203","2012-05-28T23:53:02",1100000,1100000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":19588.708356186824},"Sr. Consultant","Consultant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",13,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":19588.708356186824}]
[null,"ID0105","2012-05-26T00:40:52",19200,19200,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":19200},"Sr Administrative Assistant","Analyst","Mexico",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Mexico"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":19200}]
[null,"ID0035","2012-05-25T05:01:09","1600 $",19200,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":19200},"Analyst","Analyst","Poland",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Poland"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":19200}]
[null,"ID0411","2012-05-26T02:13:57",19200,19200,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":19200},"Department Manager","Manager","Romania",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Romania"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":19200}]
[null,"ID0772","2012-05-26T17:47:10","$1,589.00/per month",19068,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":19068},"Accounting Head","Accountant","Philippines",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Philippines"},"All the 8 hours baby, all the 8!",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":19068}]
[null,"ID1201","2012-05-28T23:51:37","Euro 15.000",15000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":19055.991584874118},"business consultant","Consultant","Italy",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"italy"},"4 to 6 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":19055.991584874118}]
[null,"ID0929","2012-05-27T21:44:39","15000 â‚¬",15000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":19055.991584874118},"analytic","Analyst","Slovenia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Slovenia"},"4 to 6 hours a day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":19055.991584874118}]
[null,"ID0507","2012-05-26T04:12:16","15000 â‚¬",15000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":19055.991584874118},"Report Analyst","Analyst","Spain",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Spain"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":19055.991584874118}]
[null,"ID0797","2012-05-26T20:57:17",15000,15000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":19055.991584874118},"Technician","Analyst","Spain",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Spain"},"2 to 3 hours per day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":19055.991584874118}]
[null,"ID1446","2012-05-30T11:20:33","MYR60000",60000,"MYR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":19008.034062397041},"Liquidity Management Executive","Manager","Malaysia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Malaysia"},"4 to 6 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":19008.034062397041}]
[null,"ID0992","2012-05-28T09:03:56",19000,19000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":19000},"Finance analyst","Analyst","China",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"China"},"4 to 6 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":19000}]
[null,"ID1128","2012-05-28T17:42:51",19000,19000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":19000},"MI Specialist","Reporting","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"All the 8 hours baby, all the 8!",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":19000}]
[null,"ID1200","2012-05-28T23:47:10",19000,19000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":19000},"Accountant","Accountant","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"4 to 6 hours a day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":19000}]
[null,"ID1119","2012-05-28T17:12:47",18987,18987,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":18987},"Business Analyst","Analyst","Nigeria",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Nigeria"},"All the 8 hours baby, all the 8!",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":18987}]
[null,"ID0913","2012-05-27T16:50:50","1050000 INR",1050000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":18698.312521814696},"Manager Market Reesrach","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":18698.312521814696}]
[null,"ID0833","2012-05-26T23:15:18","65000 ron",65000,"RON",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":18499.860539512854},"HR Planning Specialist","Specialist","Romania",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Romania"},"4 to 6 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":18499.860539512854}]
[null,"ID0940","2012-05-27T23:46:03",18060,18060,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":18060},"Reporting Supervisor","Reporting","Philippines",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Philippines"},"4 to 6 hours a day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":18060}]
[null,"ID1192","2012-05-28T23:13:31","5000  PLN   net",60000,"PLN",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":18018.883790212141},"Sales Analyst","Analyst","Poland",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Poland"},"All the 8 hours baby, all the 8!",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":18018.883790212141}]
[null,"ID0546","2012-05-26T05:30:12",1500,18000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":18000},"Engineer","Engineer","Brazil",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Brazil"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":18000}]
[null,"ID1343","2012-05-29T17:36:13",18000,18000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":18000},"liquidity manager","Manager","Ghana",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Ghana"},"4 to 6 hours a day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":18000}]
[null,"ID0371","2012-05-26T01:50:56",18000,18000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":18000},"ceo","CXO or Top Mgmt.","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":18000}]
[null,"ID1011","2012-05-28T11:31:20",18000,18000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":18000},"Data Specialist","Specialist","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":18000}]
[null,"ID1033","2012-05-28T12:59:59",18000,18000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":18000},"Area Sales Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",4.5999999999999996,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":18000}]
[null,"ID1288","2012-05-29T12:17:07",18000,18000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":18000},"Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":18000}]
[null,"ID1506","2012-05-30T23:29:58",18000,18000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":18000},"Process Associate","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":18000}]
[null,"ID1064","2012-05-28T14:43:40","1500 $",18000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":18000},"Analyst","Analyst","Poland",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Poland"},"4 to 6 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":18000}]
[null,"ID0079","2012-05-25T23:20:46","Us$ 18000",18000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":18000},"Operational Analyst","Analyst","Saudi Arabia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Saudi Arabia"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":18000}]
[null,"ID1772","2012-06-09T20:38:03",1500,18000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":18000},"accountant","Accountant","uae",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UAE"},"All the 8 hours baby, all the 8!",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":18000}]
[null,"ID0023","2012-05-25T04:31:41",1000000,1000000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":17807.916687442568},"Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":17807.916687442568}]
[null,"ID0321","2012-05-26T01:27:44","INR 1000000",1000000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":17807.916687442568},"Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":17807.916687442568}]
[null,"ID0732","2012-05-26T15:09:27","Ind Rs.10,00,000.00",1000000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":17807.916687442568},"Sr Associate","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":17807.916687442568}]
[null,"ID0837","2012-05-26T23:38:24",1000000,1000000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":17807.916687442568},"business analyist","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":17807.916687442568}]
[null,"ID0850","2012-05-27T01:41:11","Rs. 10,00,000",1000000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":17807.916687442568},"HR Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",6.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":17807.916687442568}]
[null,"ID0899","2012-05-27T14:50:56",1000000,1000000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":17807.916687442568},"Engagement Lead","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":17807.916687442568}]
[null,"ID0936","2012-05-27T23:03:21",1000000,1000000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":17807.916687442568},"business","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":17807.916687442568}]
[null,"ID1004","2012-05-28T10:27:45","Rs.10,00,000",1000000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":17807.916687442568},"Credit Manager - Loans","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":17807.916687442568}]
[null,"ID1041","2012-05-28T13:27:46","10 Lakh",1000000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":17807.916687442568},"Teaching","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",25,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":17807.916687442568}]
[null,"ID1224","2012-05-29T01:22:59","INR 1000000",1000000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":17807.916687442568},"Asst Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",8.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":17807.916687442568}]
[null,"ID1284","2012-05-29T11:35:53","Indian Rs 10 Lakhs",1000000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":17807.916687442568},"Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":17807.916687442568}]
[null,"ID1457","2012-05-30T13:36:42",1000000,1000000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":17807.916687442568},"project management","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":17807.916687442568}]
[null,"ID1468","2012-05-30T15:59:01","Rs 10,00,000",1000000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":17807.916687442568},"Marketing Specialist","Specialist","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":17807.916687442568}]
[null,"ID1551","2012-05-31T20:13:27",1000000,1000000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":17807.916687442568},"Financial analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":17807.916687442568}]
[null,"ID1595","2012-06-01T18:18:31","Rs 1000000",1000000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":17807.916687442568},"Senior Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":17807.916687442568}]
[null,"ID1641","2012-06-03T12:09:27","10 lacs INR",1000000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":17807.916687442568},"Category Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",13,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":17807.916687442568}]
[null,"ID1647","2012-06-03T14:52:21","INR 1000000",1000000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":17807.916687442568},"Senior Associate, Finance","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":17807.916687442568}]
[null,"ID1833","2012-06-13T18:25:00","INR 10 lacs p.a.",1000000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":17807.916687442568},"Mnanager- Customer Project finance & recovery","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":17807.916687442568}]
[null,"ID1864","2012-06-15T17:36:10","INR 1000000",1000000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":17807.916687442568},"Sr.Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":17807.916687442568}]
[null,"ID1579","2012-06-01T05:52:11",17728.57,17728,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":17728},"Financial analyst","Analyst","Mexico",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Mexico"},"4 to 6 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":17728}]
[null,"ID0398","2012-05-26T02:04:05","120000 BDT",1440000,"BDT",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":17598.017290051986},"Computer Operator","Analyst","Bangladesh",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Bangladesh"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":17598.017290051986}]
[null,"ID0680","2012-05-26T13:03:32",720000,720000,"PHP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":17067.637625607145},"System Manager","Manager","Philippines",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Philippines"},"4 to 6 hours a day",9,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":17067.637625607145}]
[null,"ID0660","2012-05-26T12:28:05","INR 9,50,000",950000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":16917.52085307044},"Investment Banker","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":16917.52085307044}]
[null,"ID1752","2012-06-08T13:38:45","9,50,000",950000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":16917.52085307044},"Associate Manager, Drug Safety Operations","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",9,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":16917.52085307044}]
[null,"ID0662","2012-05-26T12:30:22",1400,16800,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":16800},"Assistant","Analyst","Pakistan",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Pakistan"},"4 to 6 hours a day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":16800}]
[null,"ID0908","2012-05-27T15:48:03",16350,16350,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":16350},"Estimator","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":16350}]
[null,"ID0865","2012-05-27T04:31:08","R134000",134000,"ZAR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":16337.518501630093},"Data Analyst","Analyst","South Africa",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"South Africa"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":16337.518501630093}]
[null,"ID1868","2012-06-15T21:32:16","$US16.110,72",16110,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":16110},"INFORMATION ANALIST","Analyst","COLOMBIA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Colombia"},"All the 8 hours baby, all the 8!",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":16110}]
[null,"ID0029","2012-05-25T04:52:23","900000 INR",900000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":16027.125018698311},"Applications Engineer","Engineer","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":16027.125018698311}]
[null,"ID0454","2012-05-26T02:57:47",900000,900000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":16027.125018698311},"Regional Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":16027.125018698311}]
[null,"ID0839","2012-05-26T23:58:53","900000 Rs",900000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":16027.125018698311},"Deputy Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",9,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":16027.125018698311}]
[null,"ID1130","2012-05-28T17:53:43","Rs. 900000",900000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":16027.125018698311},"officer","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",22,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":16027.125018698311}]
[null,"ID1210","2012-05-29T00:16:55","Rs. 900000",900000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":16027.125018698311},"Manager F & A","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",13,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":16027.125018698311}]
[null,"ID1285","2012-05-29T11:46:47","INR 900000",900000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":16027.125018698311},"RENTAL INVENTORY CONTROLLER","Controller","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":16027.125018698311}]
[null,"ID1451","2012-05-30T12:35:08","Rs. 900000 per annum",900000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":16027.125018698311},"Data Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":16027.125018698311}]
[null,"ID1834","2012-06-13T19:20:25",900000,900000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":16027.125018698311},"Lead ","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":16027.125018698311}]
[null,"ID0749","2012-05-26T16:23:30",16000,16000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":16000},"Engineer","Engineer","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":16000}]
[null,"ID0786","2012-05-26T19:29:34",16000,16000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":16000},"Mis executiv","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":16000}]
[null,"ID0301","2012-05-26T01:22:09",16000,16000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":16000},"VP of Finance","CXO or Top Mgmt.","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":16000}]
[null,"ID1573","2012-06-01T03:01:04",1320,15840,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":15840},"Asistente","Analyst","Peru",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Peru"},"All the 8 hours baby, all the 8!",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":15840}]
[null,"ID1491","2012-05-30T20:42:27",10000,10000,"GBP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":15761.782720672842},"Analyst","Analyst","UK",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UK"},"2 to 3 hours per day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":15761.782720672842}]
[null,"ID0561","2012-05-26T06:01:57",1300,15600,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":15600},"CONTROLLER","Controller","BRA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Brazil"},"4 to 6 hours a day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":15600}]
[null,"ID0903","2012-05-27T15:25:40",1300,15600,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":15600},"Document controller ","Controller","Kuwait ",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Kuwait "},"4 to 6 hours a day",13,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":15600}]
[null,"ID0821","2012-05-26T22:43:12",15500,15500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":15500},"Engineer","Engineer","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":15500}]
[null,"ID0155","2012-05-26T00:45:11",15500,15500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":15500},"Proces auditor","Accountant","Mexico",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Mexico"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":15500}]
[null,"ID1165","2012-05-28T22:33:29",600000,600000,"DOP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":15404.364569961488},"Analista de Produccion","Analyst","Republica Dominicana",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Republica Dominicana"},"All the 8 hours baby, all the 8!",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":15404.364569961488}]
[null,"ID0240","2012-05-26T01:02:16","1000 â‚¬",12000,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":15244.793267899293},"HR Specialist","Specialist","Portugal",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Portugal"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":15244.793267899293}]
[null,"ID1001","2012-05-28T10:15:27","RM48,000",48000,"MYR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":15206.427249917633},"Credit Risk Manager","Manager","Malaysia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Malaysia"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":15206.427249917633}]
[null,"ID1146","2012-05-28T19:25:04","INR 853000",853000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":15190.15293438851},"Lead Research Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":15190.15293438851}]
[null,"ID0616","2012-05-26T10:41:11","INR 850,000",850000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":15136.729184326183},"Sales Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":15136.729184326183}]
[null,"ID0805","2012-05-26T21:27:01",850000,850000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":15136.729184326183},"Senior Research Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":15136.729184326183}]
[null,"ID0900","2012-05-27T14:55:30","INR 850,000",850000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":15136.729184326183},"Assistant Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":15136.729184326183}]
[null,"ID1574","2012-06-01T03:07:31","INR 850000",850000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":15136.729184326183},"Sr Business analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":15136.729184326183}]
[null,"ID0593","2012-05-26T08:10:43",8000,96000,"CNY",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":15092.18020692008},"finance","Accountant","china",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"China"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":15092.18020692008}]
[null,"ID0002","2012-05-25T03:13:13","15000 usd",15000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":15000},"cost control","Controller","europe/Croatia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Croatia"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":15000}]
[null,"ID0521","2012-05-26T04:36:43",15000,15000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":15000},"Asst.Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":15000}]
[null,"ID0658","2012-05-26T12:26:33",15000,15000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":15000},"MIS Executive","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":15000}]
[null,"ID0744","2012-05-26T16:01:54",15000,15000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":15000},"PROCSS ASOCIATE","Controller","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":15000}]
[null,"ID0967","2012-05-28T05:51:20",15000,15000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":15000},"Quality Executive","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":15000}]
[null,"ID1016","2012-05-28T11:41:11",15000,15000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":15000},"Operations Management","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":15000}]
[null,"ID1623","2012-06-02T13:58:46",15000,15000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":15000},"Business Analysis & MIS ","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":15000}]
[null,"ID1832","2012-06-13T17:22:47",15000,15000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":15000},"senior associate","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",0.3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":15000}]
[null,"ID0673","2012-05-26T12:54:36",15000,15000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":15000},"TA","Analyst","Indonesia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Indonesia"},"4 to 6 hours a day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":15000}]
[null,"ID0714","2012-05-26T14:20:23","15000 USD",15000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":15000},"Audit - senior assistant","Accountant","Lithuania",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Lithuania"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":15000}]
[null,"ID1291","2012-05-29T12:28:41",15000,15000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":15000},"Monitoring & Evaluation officer","Manager","Myanmar",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Myanmar"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":15000}]
[null,"ID1646","2012-06-03T14:34:56",15000,15000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":15000},"Marketing services","Analyst","Pakistan",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Pakistan"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":15000}]
[null,"ID1499","2012-05-30T22:11:21","15000 USD",15000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":15000},"Manager","Manager","Romania",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Romania"},"2 to 3 hours per day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":15000}]
[null,"ID0385","2012-05-26T01:59:48",15000,15000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":15000},"Economist","Reporting","Ukraine",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Ukraine"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":15000}]
[null,"ID0076","2012-05-25T23:12:29",15000,15000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":15000},"Excel Programmer Consultant","Consultant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":15000}]
[null,"ID0285","2012-05-26T01:15:25",15000,15000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":15000},"moneymaker","Manager","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":15000}]
[null,"ID1570","2012-06-01T01:47:43",15000,15000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":15000},"Application Developer","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"All the 8 hours baby, all the 8!",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":15000}]
[null,"ID0765","2012-05-26T17:09:24","14960 $",14960,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":14960},"Stock Controller","Controller","Saudi Arabia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Saudi Arabia"},"All the 8 hours baby, all the 8!",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":14960}]
[null,"ID1060","2012-05-28T14:32:11",120000,120000,"ZAR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":14630.613583549337},"VP","CXO or Top Mgmt.","South Africa",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"South Africa"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":14630.613583549337}]
[null,"ID0042","2012-05-25T05:20:10",14500,14500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":14500},"Business Analsyt","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":14500}]
[null,"ID1557","2012-05-31T21:48:35",1200,14400,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":14400},"FA /financial Analyst","Analyst","Bulgaria",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Bulgaria"},"All the 8 hours baby, all the 8!",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":14400}]
[null,"ID1720","2012-06-06T19:54:49",1200,14400,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":14400},"Engineer","Engineer","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":14400}]
[null,"ID0046","2012-05-25T05:46:47",800000,800000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":14246.333349954055},"Team Lead","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":14246.333349954055}]
[null,"ID0136","2012-05-26T00:43:08",800000,800000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":14246.333349954055},"Manager : Accounts","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":14246.333349954055}]
[null,"ID0457","2012-05-26T03:02:42","800000 rupees",800000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":14246.333349954055},"Partner","CXO or Top Mgmt.","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":14246.333349954055}]
[null,"ID0650","2012-05-26T12:14:07","Rs 800000",800000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":14246.333349954055},"Engineer","Engineer","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":14246.333349954055}]
[null,"ID0700","2012-05-26T13:42:58",800000,800000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":14246.333349954055},"Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":14246.333349954055}]
[null,"ID0735","2012-05-26T15:27:48","8 Lakhs",800000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":14246.333349954055},"Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",13,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":14246.333349954055}]
[null,"ID1756","2012-06-08T15:43:16","INR800000",800000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":14246.333349954055},"MANAGER","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",0,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":14246.333349954055}]
[null,"ID1757","2012-06-08T15:45:14",800000,800000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":14246.333349954055},"MANAGER","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",0,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":14246.333349954055}]
[null,"ID0282","2012-05-26T01:14:55",14000,14000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":14000},"Auxiliar Administrativo","Analyst","Brazil",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Brazil"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":14000}]
[null,"ID0012","2012-05-25T03:43:56",14000,14000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":14000},"quality engineer","Engineer","Hungary",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Hungary"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":14000}]
[null,"ID1292","2012-05-29T12:29:12","us $ 14000",14000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":14000},"Pricing Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":14000}]
[null,"ID1433","2012-05-30T02:22:39",14000,14000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":14000},"Consultant","Consultant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":14000}]
[null,"ID1812","2012-06-12T16:16:25",14000,14000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":14000},"Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":14000}]
[null,"ID0912","2012-05-27T16:30:54",775000,775000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":13801.135432767991},"Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":13801.135432767991}]
[null,"ID0615","2012-05-26T10:32:07","1150 $",13800,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":13800},"QS","Controller","Sri Lanka",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Sri Lanka"},"4 to 6 hours a day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":13800}]
[null,"ID1580","2012-06-01T05:56:20","120000 MAD",120000,"MAD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":13745.704467353951},"Supply chain Controller","Controller","Morocco",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Morocco"},"All the 8 hours baby, all the 8!",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":13745.704467353951}]
[null,"ID0188","2012-05-26T00:50:43",13636.36,13636,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":13636},"Process Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":13636}]
[null,"ID1815","2012-06-12T20:11:24",8900,1281600,"PKR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":13603.016099449767},"Manager MIS & Analytics","Manager","pakistan",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Pakistan"},"All the 8 hours baby, all the 8!",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":13603.016099449767}]
[null,"ID0021","2012-05-25T04:24:01",13500,13500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":13500},"DSE Co-ordinator","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":13500}]
[null,"ID0776","2012-05-26T18:29:06",13500,13500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":13500},"MIS","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",2.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":13500}]
[null,"ID1316","2012-05-29T15:10:24",13500,13500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":13500},"Asst. Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":13500}]
[null,"ID1155","2012-05-28T20:45:35",13.5,13500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":13500},"Project manager","Manager","Montenegro",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Montenegro"},"4 to 6 hours a day",13,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":13500}]
[null,"ID0393","2012-05-26T02:01:31","7,50,000 INR",750000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":13355.937515581925},"Business Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":13355.937515581925}]
[null,"ID1217","2012-05-29T00:32:35","INR 750,000",750000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":13355.937515581925},"Assistant Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":13355.937515581925}]
[null,"ID1423","2012-05-30T01:12:35","INR 750000",750000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":13355.937515581925},"Associate - Indirect Tax","CXO or Top Mgmt.","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":13355.937515581925}]
[null,"ID1907","2012-06-19T20:16:30",750000,750000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":13355.937515581925},"Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":13355.937515581925}]
[null,"ID0013","2012-05-25T03:48:53","749000 INR",749000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":13338.129598894484},"Senion Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":13338.129598894484}]
[null,"ID0810","2012-05-26T21:56:49",13100,13100,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":13100},"accountant","Accountant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":13100}]
[null,"ID1621","2012-06-02T11:11:18","U$13,000",13000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":13000},"Dss Analyst","Analyst","Brazil",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Brazil"},"All the 8 hours baby, all the 8!",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":13000}]
[null,"ID0342","2012-05-26T01:37:33",13000,13000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":13000},"operation-manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":13000}]
[null,"ID0686","2012-05-26T13:16:21",13000,13000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":13000},"Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":13000}]
[null,"ID0838","2012-05-26T23:47:34","13000 USD",13000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":13000},"Business Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":13000}]
[null,"ID1667","2012-06-04T22:16:00",13000,13000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":13000},"logistics analyst","Analyst","Slovakia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Slovakia"},"All the 8 hours baby, all the 8!",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":13000}]
[null,"ID0500","2012-05-26T03:53:29","Rs. 7,20,000/-",720000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12821.700014958649},"Manager Finance","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12821.700014958649}]
[null,"ID0630","2012-05-26T11:10:23","Rs60000",720000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12821.700014958649},"Quantity Surveyor","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12821.700014958649}]
[null,"ID0705","2012-05-26T13:57:11",720000,720000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12821.700014958649},"Cost Accountant","Accountant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12821.700014958649}]
[null,"ID0718","2012-05-26T14:35:48","Inr 60000",720000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12821.700014958649},"Asstt manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12821.700014958649}]
[null,"ID0884","2012-05-27T12:57:51","Rs.60000/-",720000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12821.700014958649},"Article (Internship) - CA","Accountant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12821.700014958649}]
[null,"ID1478","2012-05-30T17:18:38","INR 60000",720000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12821.700014958649},"DEO","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12821.700014958649}]
[null,"ID1157","2012-05-28T20:54:29","Rs. 59,000 (Per Month)",708000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12608.005014709339},"Manager-Operation","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12608.005014709339}]
[null,"ID1295","2012-05-29T13:13:56",12500,12500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12500},"Specialist","Specialist","Philippines",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Philippines"},"2 to 3 hours per day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"01 | 12500 - 25000"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12500}]
[null,"ID0761","2012-05-26T17:04:23","INR 700000",700000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12465.541681209797},"Sales Management Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12465.541681209797}]
[null,"ID0928","2012-05-27T21:24:42","7 Lakhs",700000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12465.541681209797},"Business Support Executive","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12465.541681209797}]
[null,"ID0937","2012-05-27T23:10:01","Rs.7,00,000",700000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12465.541681209797},"Business Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12465.541681209797}]
[null,"ID1007","2012-05-28T10:38:53",700000,700000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12465.541681209797},"Asst Manager - Quality","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12465.541681209797}]
[null,"ID1049","2012-05-28T13:54:57","Rs. 700000",700000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12465.541681209797},"Credit Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12465.541681209797}]
[null,"ID1225","2012-05-29T01:31:39","700000 INR",700000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12465.541681209797},"Lead Executive MIS","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12465.541681209797}]
[null,"ID1565","2012-06-01T00:02:34","Rs. 700000",700000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12465.541681209797},"Manager - Business Development","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",30,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12465.541681209797}]
[null,"ID1862","2012-06-15T17:16:19","INR 700000",700000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12465.541681209797},"Sr. System Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12465.541681209797}]
[null,"ID1881","2012-06-16T18:33:25","Rs. 700000",700000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12465.541681209797},"Revenue Focus Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",9,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12465.541681209797}]
[null,"ID0958","2012-05-28T03:44:00","2,000,000 Naira",2000000,"NAIRA",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12326.656394453004},"Head Business Advisory","Manager","Nigeria",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Nigeria"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12326.656394453004}]
[null,"ID0010","2012-05-25T03:38:57","PKR 8,000",1152000,"PKR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12227.430201752599},"Audit Trainee ","Accountant","Pakistan",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Pakistan"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12227.430201752599}]
[null,"ID1116","2012-05-28T17:04:04","R100,000",100000,"ZAR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12192.177986291113},"Q.A.Officer","Manager","South Africa",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"South Africa"},"All the 8 hours baby, all the 8!",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12192.177986291113}]
[null,"ID1629","2012-06-02T21:42:42","6.8 Lac INR",680000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12109.383347460946},"Deputy Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12109.383347460946}]
[null,"ID0997","2012-05-28T09:40:10","US$12,000/year",12000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12000},"Manager","Manager","Asia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Asia"},"All the 8 hours baby, all the 8!",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12000}]
[null,"ID0511","2012-05-26T04:17:20",12000,12000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12000},"Report Analyst","Analyst","Brazil",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Brazil"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12000}]
[null,"ID0476","2012-05-26T03:16:58",12000,12000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12000},"Resource managment Analyst","Analyst","Estonia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Estonia"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12000}]
[null,"ID0307","2012-05-26T01:23:21",12000,12000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12000},"Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12000}]
[null,"ID1058","2012-05-28T14:23:57",1000,12000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12000},"consultant","Consultant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12000}]
[null,"ID1648","2012-06-03T16:48:54",12000,12000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12000},"MIS ","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12000}]
[null,"ID1780","2012-06-10T15:20:01",1000,12000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12000},"project engineer ","Engineer","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12000}]
[null,"ID0424","2012-05-26T02:20:22",12000,12000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12000},"teacher","Analyst","iran",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"iran"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12000}]
[null,"ID1052","2012-05-28T14:12:35","12000 $",12000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12000},"planning & Sales Control emploee","Controller","Iran",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"iran"},"4 to 6 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12000}]
[null,"ID1535","2012-05-31T10:54:48",1000,12000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12000},"Associate Analyst","Analyst","MYS",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"MYS"},"2 to 3 hours per day",0,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12000}]
[null,"ID0130","2012-05-26T00:42:34",1000,12000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12000},"Freelance","Consultant","Pakistan",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Pakistan"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12000}]
[null,"ID1297","2012-05-29T13:16:45",1000,12000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12000},"excel prof","Consultant","pakistan",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Pakistan"},"4 to 6 hours a day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12000}]
[null,"ID0391","2012-05-26T02:00:54",12000,12000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12000},"MIS Officer","Reporting","South Africa",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"South Africa"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12000}]
[null,"ID0863","2012-05-27T04:07:07",12000,12000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12000},"Guide for About.com","Consultant","Spain",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Spain"},"2 to 3 hours per day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12000}]
[null,"ID0715","2012-05-26T14:22:05",1000,12000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12000},"tech operator (oil)","Analyst","uae",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UAE"},"4 to 6 hours a day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12000}]
[null,"ID0878","2012-05-27T11:50:16",1000,12000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12000},"sup","Manager","UAE",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"UAE"},"All the 8 hours baby, all the 8!",18,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12000}]
[null,"ID0008","2012-05-25T03:36:37",12000,12000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12000},"Assistant SP&A","Analyst","Ukraine",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Ukraine"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12000}]
[null,"ID0825","2012-05-26T22:53:35","12000 $",12000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12000},"Investment manager","Manager","Ukraine",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Ukraine"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12000}]
[null,"ID0048","2012-05-25T05:47:52",1000,12000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12000},"Freelance consultant","Consultant","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12000}]
[null,"ID1680","2012-06-05T05:03:04",1000,12000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":12000},"Waiter","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"2 to 3 hours per day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":12000}]
[null,"ID1280","2012-05-29T10:48:33","USD 11800 (INR 650000)",11800,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":11800},"Assistant Data Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":11800}]
[null,"ID1329","2012-05-29T16:18:59","6.6 Lacs",660000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":11753.225013712095},"AM business Intelligence","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":11753.225013712095}]
[null,"ID0814","2012-05-26T22:16:10","INR 650000",650000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":11575.14584683767},"Deputy Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":11575.14584683767}]
[null,"ID0851","2012-05-27T01:46:00",650000,650000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":11575.14584683767},"Financial Analyist","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",3.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":11575.14584683767}]
[null,"ID1010","2012-05-28T11:11:53",650000,650000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":11575.14584683767},"Ass Research  Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":11575.14584683767}]
[null,"ID1507","2012-05-30T23:59:22","6.5 LAKHS",650000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":11575.14584683767},"HR/ADMINISTRATION","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",21,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":11575.14584683767}]
[null,"ID1597","2012-06-01T19:42:46",650000,650000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":11575.14584683767},"Associate","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":11575.14584683767}]
[null,"ID0692","2012-05-26T13:24:05","4500 rs. per month",648000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":11539.530013462785},"COMPUTER OPERATOR","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":11539.530013462785}]
[null,"ID1353","2012-05-29T18:35:10","9 067",9067,"EUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":11518.711713336908},"assistant","Analyst","Hungary",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Hungary"},"2 to 3 hours per day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":11518.711713336908}]
[null,"ID1261","2012-05-29T08:13:06","RM3000",36000,"MYR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":11404.820437438224},"Process Engineering","Engineer","Malaysia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Malaysia"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":11404.820437438224}]
[null,"ID0348","2012-05-26T01:40:05",950,11400,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":11400},"Advisor","Consultant","Brazil",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Brazil"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":11400}]
[null,"ID1015","2012-05-28T11:39:01","Rs.6.4 lakhs",640000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":11397.066679963244},"Sr.Analyst - Process Excellence","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":11397.066679963244}]
[null,"ID0713","2012-05-26T14:18:11",636000,636000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":11325.835013213473},"Audit Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":11325.835013213473}]
[null,"ID0782","2012-05-26T19:07:55",636000,636000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":11325.835013213473},"Program Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":11325.835013213473}]
[null,"ID0386","2012-05-26T02:00:04","Rs 6.2 lakhs",620000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":11040.908346214392},"assistant manager (finance)","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":11040.908346214392}]
[null,"ID1467","2012-05-30T14:31:33",620000,620000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":11040.908346214392},"Catalog Auditor","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":11040.908346214392}]
[null,"ID1793","2012-06-11T19:56:36",11000,11000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":11000},"Web Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":11000}]
[null,"ID1866","2012-06-15T20:00:26",11000,11000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":11000},"AM","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":11000}]
[null,"ID1576","2012-06-01T04:44:29",11000,11000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":11000},"Coordinator","Manager","MÃ©xico",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Mexico"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":11000}]
[null,"ID0756","2012-05-26T16:50:08","US $ 11,000",11000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":11000},"Assistant Manager - Group MIS","Manager","Sri Lanka",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Sri Lanka"},"All the 8 hours baby, all the 8!",4.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":11000}]
[null,"ID1670","2012-06-04T23:38:42","11000 USD",11000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":11000},"Dataminer","Analyst","Tunisia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Tunisia"},"4 to 6 hours a day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":11000}]
[null,"ID0316","2012-05-26T01:26:37","150000 MXN",150000,"MXN",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10956.982885192734},"Information Analyst","Analyst","Mexico",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Mexico"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10956.982885192734}]
[null,"ID1027","2012-05-28T12:35:38","Net- 56000Rs, Gross - 61000Rs",612000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10898.445012714852},"Asst. Manager ","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",13,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10898.445012714852}]
[null,"ID0328","2012-05-26T01:30:56","PhP 456,000",456000,"PHP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10809.503829551191},"Reporting Shared Services Oferring Lead","Reporting","Philippines",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Philippines"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10809.503829551191}]
[null,"ID1028","2012-05-28T12:40:26",900,10800,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10800},"Project Managment Office","Manager","Pakistan",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Pakistan"},"All the 8 hours baby, all the 8!",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10800}]
[null,"ID0030","2012-05-25T04:55:35","Rs 600000",600000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10684.750012465542},"strategy manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10684.750012465542}]
[null,"ID0508","2012-05-26T04:13:54","Rs 6L",600000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10684.750012465542},"Business Co ordinator","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10684.750012465542}]
[null,"ID0526","2012-05-26T04:48:35",600000,600000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10684.750012465542},"Project Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10684.750012465542}]
[null,"ID0638","2012-05-26T11:37:53",600000,600000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10684.750012465542},"Financial Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10684.750012465542}]
[null,"ID0646","2012-05-26T11:50:34","6,00,000",600000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10684.750012465542},"Organiser","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",11,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10684.750012465542}]
[null,"ID0706","2012-05-26T14:01:00",600000,600000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10684.750012465542},"senior executive","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10684.750012465542}]
[null,"ID0729","2012-05-26T15:05:42",600000,600000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10684.750012465542},"Sr Financial Execative","Accountant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10684.750012465542}]
[null,"ID0736","2012-05-26T15:30:23","6 Lac Rs",600000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10684.750012465542},"ERP Co-Ordinator","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10684.750012465542}]
[null,"ID0741","2012-05-26T15:54:00","50 k per month",600000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10684.750012465542},"Finance Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10684.750012465542}]
[null,"ID0802","2012-05-26T21:13:02",600000,600000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10684.750012465542},"MIS Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10684.750012465542}]
[null,"ID0823","2012-05-26T22:48:11",600000,600000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10684.750012465542},"Reporting Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10684.750012465542}]
[null,"ID0835","2012-05-26T23:21:57","Rs.6,00,000/-",600000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10684.750012465542},"AO","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10684.750012465542}]
[null,"ID0836","2012-05-26T23:36:14","Rs. 6,00,000",600000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10684.750012465542},"Project Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",18,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10684.750012465542}]
[null,"ID0885","2012-05-27T13:06:50",600000,600000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10684.750012465542},"Asst Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10684.750012465542}]
[null,"ID0907","2012-05-27T15:44:52","Rs 600000/-",600000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10684.750012465542},"Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",9,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10684.750012465542}]
[null,"ID0925","2012-05-27T21:04:07",600000,600000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10684.750012465542},"Sales Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10684.750012465542}]
[null,"ID0948","2012-05-28T00:36:20","INR 600K",600000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10684.750012465542},"Asst. Mgr. Finance","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",11,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10684.750012465542}]
[null,"ID0949","2012-05-28T00:43:40","600000 INR",600000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10684.750012465542},"Executive","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10684.750012465542}]
[null,"ID1042","2012-05-28T13:37:10",600000,600000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10684.750012465542},"Business Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10684.750012465542}]
[null,"ID1091","2012-05-28T15:51:32","50000 INR",600000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10684.750012465542},"Sr.Supervisor","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10684.750012465542}]
[null,"ID1113","2012-05-28T16:58:03","Rs. 600000",600000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10684.750012465542},"Company Secretary","Accountant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10684.750012465542}]
[null,"ID1299","2012-05-29T13:23:45","6,00,000 INR",600000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10684.750012465542},"Senior Business Executive","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10684.750012465542}]
[null,"ID1319","2012-05-29T15:36:25","6lakhs",600000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10684.750012465542},"General Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",28,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10684.750012465542}]
[null,"ID1341","2012-05-29T17:17:46","Rs.6,00,000",600000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10684.750012465542},"Assistant Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10684.750012465542}]
[null,"ID1452","2012-05-30T12:56:38","Rs  6 lakhs/annum",600000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10684.750012465542},"consultant","Consultant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",36,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10684.750012465542}]
[null,"ID1717","2012-06-06T17:41:41",600000,600000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10684.750012465542},"admin","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10684.750012465542}]
[null,"ID1877","2012-06-16T17:07:45","INR 50000",600000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10684.750012465542},"Manager- Customer Support","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10684.750012465542}]
[null,"ID1308","2012-05-29T14:16:06","5,75,000",575000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10239.552095279476},"Asst Manager HR","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10239.552095279476}]
[null,"ID0675","2012-05-26T12:59:13",10200,10200,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10200},"business analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",4.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10200}]
[null,"ID0781","2012-05-26T18:56:52",570000,570000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10150.512511842264},"Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",2.4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10150.512511842264}]
[null,"ID1024","2012-05-28T12:26:01","Rs.5.7 lacs",570000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10150.512511842264},"MIS & Analysis","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10150.512511842264}]
[null,"ID1510","2012-05-31T01:09:06","US$ 10000",10000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10000},"Trainee","Analyst","Brazil",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Brazil"},"4 to 6 hours a day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10000}]
[null,"ID0707","2012-05-26T14:01:09",10000,10000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10000},"Executive","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10000}]
[null,"ID0745","2012-05-26T16:05:02",10000,10000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10000},"Reporting Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10000}]
[null,"ID0789","2012-05-26T20:08:21",10000,10000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10000},"BDM","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10000}]
[null,"ID0905","2012-05-27T15:32:10",10000,10000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10000},"Planner","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10000}]
[null,"ID1140","2012-05-28T18:45:00",10000,10000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10000},"Business analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10000}]
[null,"ID1326","2012-05-29T15:53:14",10000,10000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10000},"MIS","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",0.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10000}]
[null,"ID1602","2012-06-01T20:27:23",10000,10000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10000},"MIS","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10000}]
[null,"ID1604","2012-06-01T20:38:57",10000,10000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10000},"dgm","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10000}]
[null,"ID1653","2012-06-04T02:30:11",10000,10000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10000},"ceo","CXO or Top Mgmt.","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10000}]
[null,"ID1657","2012-06-04T12:22:05",10000,10000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10000},"MIS Executive","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10000}]
[null,"ID1735","2012-06-07T16:53:54",10000,10000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10000},"AGM - Operations & Customer Support","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",11,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10000}]
[null,"ID0628","2012-05-26T11:07:01",10000,10000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10000},"executive","Manager","Indonesia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Indonesia"},"2 to 3 hours per day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10000}]
[null,"ID1711","2012-06-06T07:28:48",10000,10000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10000},"Student assistant","Analyst","USA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"USA"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10000}]
[null,"ID0890","2012-05-27T13:41:05",10000,10000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10000},"Finance Staff","Accountant","Viet Nam",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Vietnam"},"4 to 6 hours a day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10000}]
[null,"ID1533","2012-05-31T10:33:07","10000 US$",10000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":10000},"Project management","Manager","Vietnam",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Vietnam"},"2 to 3 hours per day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":10000}]
[null,"ID1811","2012-06-12T15:58:36",560000,560000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":9972.4333449678379},"Associate Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":9972.4333449678379}]
[null,"ID0276","2012-05-26T01:10:56","35,000 Philippine Peso",420000,"PHP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":9956.1219482708348},"Global Problem Management - IT","Manager","Philippines",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Philippines"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":9956.1219482708348}]
[null,"ID0019","2012-05-25T04:16:32",550000,550000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":9794.354178093412},"AGM","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":9794.354178093412}]
[null,"ID0832","2012-05-26T23:14:58","5.5 lakhs",550000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":9794.354178093412},"web analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":9794.354178093412}]
[null,"ID0855","2012-05-27T03:16:05","Rs. 550000",550000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":9794.354178093412},"Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":9794.354178093412}]
[null,"ID1719","2012-06-06T19:39:06",550000,550000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":9794.354178093412},"Accounts manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",13,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":9794.354178093412}]
[null,"ID1003","2012-05-28T10:25:51","Rs.5,45,000",545000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":9705.3145946561999},"Assistant Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":9705.3145946561999}]
[null,"ID0382","2012-05-26T01:59:21","INR 5,40,000",540000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":9616.275011218986},"Senior Billing Engineer","Engineer","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":9616.275011218986}]
[null,"ID0861","2012-05-27T04:00:14","Rs. 45000",540000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":9616.275011218986},"Senior analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":9616.275011218986}]
[null,"ID1195","2012-05-28T23:19:36","Rs 5,40,000",540000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":9616.275011218986},"Business Analyst - Solutions","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",7.9,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":9616.275011218986}]
[null,"ID1524","2012-05-31T05:37:29",800,9600,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":9600},"Reporting Analyst","Analyst","Bolivia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Bolivia"},"All the 8 hours baby, all the 8!",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":9600}]
[null,"ID0727","2012-05-26T15:02:34",800,9600,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":9600},"Admin","Analyst","South Africa",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"South Africa"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":9600}]
[null,"ID1513","2012-05-31T01:45:48","Rs 5,36,000",536000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":9545.0433444692171},"Team Lead","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":9545.0433444692171}]
[null,"ID1477","2012-05-30T17:14:27","ZAR6500",78000,"ZAR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":9509.8988293070688},"Online Stats Controller","Controller","South Africa",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"South Africa"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":9509.8988293070688}]
[null,"ID0934","2012-05-27T22:40:38","R$ 19.200,00",19200,"BRL",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":9490.1984044603923},"Programmer","Analyst","Brazil",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Brazil"},"All the 8 hours baby, all the 8!",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":9490.1984044603923}]
[null,"ID1063","2012-05-28T14:40:54","INR 530000 ",530000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":9438.1958443445619},"Project Administrator","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":9438.1958443445619}]
[null,"ID1633","2012-06-03T01:36:43","24 K mauritian Rupees",288000,"MUR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":9376.2513877177607},"IT Support Engineer","Engineer","Mauritius",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Mauritius"},"4 to 6 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":9376.2513877177607}]
[null,"ID0816","2012-05-26T22:23:38",516000,516000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":9188.8850107203652},"Management Trainee","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",0,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":9188.8850107203652}]
[null,"ID0759","2012-05-26T17:03:02",1488000,1488000,"NAIRA",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":9171.0323574730355},"Company Systems Integration Manager","Manager","Nigeria",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Nigeria"},"2 to 3 hours per day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":9171.0323574730355}]
[null,"ID0780","2012-05-26T18:44:00","Dhs 2800 + Accomodation",33600,"AED",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":9146.5655463031271},"Accountant","Accountant","Dubai",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Dubai"},"1 or 2 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":9146.5655463031271}]
[null,"ID1229","2012-05-29T01:47:39",750,9000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":9000},"assurance manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":9000}]
[null,"ID1327","2012-05-29T16:07:59",9000,9000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":9000},"Data Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",0.6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":9000}]
[null,"ID1328","2012-05-29T16:08:40",9000,9000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":9000},"Data Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":9000}]
[null,"ID0817","2012-05-26T22:29:16","3500 Rs",504000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8975.1900104710548},"MNR","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8975.1900104710548}]
[null,"ID0036","2012-05-25T05:04:12",500000,500000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8903.9583437212841},"Senior Consultant","Consultant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8903.9583437212841}]
[null,"ID0085","2012-05-26T00:10:17",500000,500000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8903.9583437212841},"Senior Consultant","Consultant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8903.9583437212841}]
[null,"ID0170","2012-05-26T00:48:11","Rs 5 lakh",500000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8903.9583437212841},"QA Executive","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8903.9583437212841}]
[null,"ID0221","2012-05-26T00:57:21","INR 500000",500000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8903.9583437212841},"Project Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8903.9583437212841}]
[null,"ID0377","2012-05-26T01:54:47","Rs. 500000",500000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8903.9583437212841},"Owner","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8903.9583437212841}]
[null,"ID0452","2012-05-26T02:55:29","500000 rupees",500000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8903.9583437212841},"Business Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8903.9583437212841}]
[null,"ID0510","2012-05-26T04:16:16","Rs 500000",500000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8903.9583437212841},"duty manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8903.9583437212841}]
[null,"ID0548","2012-05-26T05:31:25","Rs. 500000",500000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8903.9583437212841},"Research Associate","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8903.9583437212841}]
[null,"ID0716","2012-05-26T14:23:48",500000,500000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8903.9583437212841},"mis ","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8903.9583437212841}]
[null,"ID0717","2012-05-26T14:33:11",500000,500000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8903.9583437212841},"Engineer","Engineer","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8903.9583437212841}]
[null,"ID0891","2012-05-27T13:42:15","inr 500000",500000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8903.9583437212841},"team coach","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8903.9583437212841}]
[null,"ID0898","2012-05-27T14:49:12","5,00,000 INR",500000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8903.9583437212841},"Planning Engineer","Engineer","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8903.9583437212841}]
[null,"ID1000","2012-05-28T09:51:24","Rs. 500000",500000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8903.9583437212841},"Business Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8903.9583437212841}]
[null,"ID1095","2012-05-28T16:03:45","Rs500000",500000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8903.9583437212841},"Executive","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",23,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8903.9583437212841}]
[null,"ID1161","2012-05-28T22:08:12","Rs.5,00,000",500000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8903.9583437212841},"Deputy Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",25,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8903.9583437212841}]
[null,"ID1172","2012-05-28T22:41:15",500000,500000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8903.9583437212841},"Business Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",0.8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8903.9583437212841}]
[null,"ID1214","2012-05-29T00:28:38",500000,500000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8903.9583437212841},"Consultant","Consultant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8903.9583437212841}]
[null,"ID1278","2012-05-29T10:43:49",500000,500000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8903.9583437212841},"Asstt. Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",29,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8903.9583437212841}]
[null,"ID1309","2012-05-29T14:34:42","500000 Rupees",500000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8903.9583437212841},"Senior software engineer","Engineer","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8903.9583437212841}]
[null,"ID1339","2012-05-29T17:16:20",500000,500000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8903.9583437212841},"support manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8903.9583437212841}]
[null,"ID1454","2012-05-30T13:21:06",500000,500000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8903.9583437212841},"Project Management","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",0,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8903.9583437212841}]
[null,"ID1532","2012-05-31T10:29:42",500000,500000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8903.9583437212841},"Developer","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8903.9583437212841}]
[null,"ID1572","2012-06-01T02:46:21","Rs. 500000",500000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8903.9583437212841},"Sr. Associate","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",9,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8903.9583437212841}]
[null,"ID1661","2012-06-04T16:31:09","Rs. 5 lacs",500000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8903.9583437212841},"Team Leader","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8903.9583437212841}]
[null,"ID1716","2012-06-06T16:03:39",500000,500000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8903.9583437212841},"Sr. Associate","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8903.9583437212841}]
[null,"ID1727","2012-06-07T00:32:24","500000vINR",500000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8903.9583437212841},"Business Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8903.9583437212841}]
[null,"ID1777","2012-06-10T04:16:05",500000,500000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8903.9583437212841},"equity research trainee","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",0,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8903.9583437212841}]
[null,"ID0672","2012-05-26T12:54:15",8738,8738,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8738},"Sales Coordinator","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",7.3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8738}]
[null,"ID1173","2012-05-28T22:41:26","8725 $",8725,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8725},"Administration Officer","Manager","Pakistan",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Pakistan"},"2 to 3 hours per day",18,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8725}]
[null,"ID1045","2012-05-28T13:42:12",725,8700,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8700},"Project Controlling (MIS Reports)","Controller","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8700}]
[null,"ID0915","2012-05-27T17:16:55","486000 INR",486000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8654.6475100970874},"Assistant manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8654.6475100970874}]
[null,"ID1163","2012-05-28T22:13:24",8600,8600,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8600},"Catlog associates","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8600}]
[null,"ID0225","2012-05-26T00:58:03",480000,480000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8547.8000099724322},"Cash Officer","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8547.8000099724322}]
[null,"ID0372","2012-05-26T01:50:59","480000 Rs.",480000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8547.8000099724322},"System Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8547.8000099724322}]
[null,"ID0651","2012-05-26T12:17:01",480000,480000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8547.8000099724322},"BI Consultant","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8547.8000099724322}]
[null,"ID0666","2012-05-26T12:36:53","Rs 480000",480000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8547.8000099724322},"PMO","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8547.8000099724322}]
[null,"ID0709","2012-05-26T14:10:51","4,80,000 Ruppes",480000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8547.8000099724322},"Business Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8547.8000099724322}]
[null,"ID0730","2012-05-26T15:06:00",4.8,480000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8547.8000099724322},"Asst Mngr","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",3.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8547.8000099724322}]
[null,"ID0779","2012-05-26T18:41:31","Rs 40000",480000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8547.8000099724322},"Banker","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",11,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8547.8000099724322}]
[null,"ID0946","2012-05-28T00:28:56","Rs 40000",480000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8547.8000099724322},"Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8547.8000099724322}]
[null,"ID1202","2012-05-28T23:52:42",480000,480000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8547.8000099724322},"Documentation Consultant","Consultant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8547.8000099724322}]
[null,"ID1450","2012-05-30T12:25:23",480000,480000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8547.8000099724322},"Performance Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8547.8000099724322}]
[null,"ID1790","2012-06-11T17:01:58","Rs 480000",480000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8547.8000099724322},"Development Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8547.8000099724322}]
[null,"ID0436","2012-05-26T02:35:10",8500,8500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8500},"Assesor","Analyst","Colombia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Colombia"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8500}]
[null,"ID0423","2012-05-26T02:20:15","8500 USD",8500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8500},"Accounting Coordinator","Accountant","Romania",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Romania"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8500}]
[null,"ID1044","2012-05-28T13:41:33",476000,476000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8476.5683432226633},"Report Specialist","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8476.5683432226633}]
[null,"ID1859","2012-06-15T15:07:11",700,8400,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8400},"Analyst","Analyst","Baltic",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Baltic"},"All the 8 hours baby, all the 8!",0.3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8400}]
[null,"ID0509","2012-05-26T04:14:27",8400,8400,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8400},"Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8400}]
[null,"ID0622","2012-05-26T11:01:56",700,8400,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8400},"SYSTEM MANAGER","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",26,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8400}]
[null,"ID1917","2012-06-20T01:43:12",700,8400,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8400},"Sr. Executive MIS","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8400}]
[null,"ID1718","2012-06-06T18:52:03",700,8400,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8400},"gov employee","Analyst","indonesia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Indonesia"},"4 to 6 hours a day",14,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8400}]
[null,"ID0258","2012-05-26T01:06:38","Rs 470000",470000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8369.7208430980063},"Web Statistics Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8369.7208430980063}]
[null,"ID0679","2012-05-26T13:02:50",470000,470000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8369.7208430980063},"Consultant","Consultant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8369.7208430980063}]
[null,"ID0294","2012-05-26T01:19:09","4.5 lakh INR",450000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8013.5625093491553},"Business Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8013.5625093491553}]
[null,"ID0544","2012-05-26T05:29:55",450000,450000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8013.5625093491553},"deputy manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8013.5625093491553}]
[null,"ID0710","2012-05-26T14:11:52","Re. 4.5 Lacs Per Annum",450000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8013.5625093491553},"Data Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8013.5625093491553}]
[null,"ID0792","2012-05-26T20:20:34","Rs 450000",450000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8013.5625093491553},"Material Planner","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",1.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8013.5625093491553}]
[null,"ID0807","2012-05-26T21:40:49","Rs. 450000",450000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8013.5625093491553},"Sr. Executive","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8013.5625093491553}]
[null,"ID1023","2012-05-28T12:20:48","INR 4.5 Lac",450000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8013.5625093491553},"Asst. Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8013.5625093491553}]
[null,"ID1179","2012-05-28T22:49:15","4.5 laks",450000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8013.5625093491553},"Production Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",21,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8013.5625093491553}]
[null,"ID1223","2012-05-29T01:19:26","INR 450000",450000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8013.5625093491553},"ASSISTANT MANAGER","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8013.5625093491553}]
[null,"ID1363","2012-05-29T19:11:31","Rs. 4.5 lakhs ",450000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8013.5625093491553},"Mechanical Design engineer","Engineer","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8013.5625093491553}]
[null,"ID1686","2012-06-05T17:59:39","INR 450000",450000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8013.5625093491553},"Sr Executive - MIS","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8013.5625093491553}]
[null,"ID1820","2012-06-13T00:20:14","4.5 Laks",450000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8013.5625093491553},"MIS Executive","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8013.5625093491553}]
[null,"ID0757","2012-05-26T16:50:46",8000,8000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8000},"Business Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8000}]
[null,"ID0959","2012-05-28T04:05:14",8000,8000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8000},"IT Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8000}]
[null,"ID1294","2012-05-29T13:06:30",8000,8000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8000},"Data Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8000}]
[null,"ID1539","2012-05-31T16:00:16",8000,8000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8000},"Owner","CXO or Top Mgmt.","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",18,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8000}]
[null,"ID0648","2012-05-26T11:58:23",8000,8000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":8000},"Quality officer","Manager","bangkok",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Thailand"},"All the 8 hours baby, all the 8!",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":8000}]
[null,"ID1094","2012-05-28T16:03:18",7960,7960,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7960},"Team Leader","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7960}]
[null,"ID1075","2012-05-28T15:16:20","Rs. 438000",438000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7799.8675090998449},"Assistant Professor","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7799.8675090998449}]
[null,"ID0652","2012-05-26T12:19:47","Rs. 4.32 Lakhs",432000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7693.0200089751897},"Assistant Manager - IT","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7693.0200089751897}]
[null,"ID0271","2012-05-26T01:09:34",7600,7600,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7600},"DP specialist","Specialist","Ukraine",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Ukraine"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7600}]
[null,"ID1837","2012-06-13T20:39:18",425000,425000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7568.3645921630914},"accountant","Accountant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7568.3645921630914}]
[null,"ID0056","2012-05-25T06:26:44",7500,7500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7500},"Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7500}]
[null,"ID0455","2012-05-26T03:01:31","7500 USD",7500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7500},"HR reporting analyst","Analyst","Romania",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Romania"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7500}]
[null,"ID1734","2012-06-07T16:45:01",421000,421000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7497.1329254133216},"PMO Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7497.1329254133216}]
[null,"ID0160","2012-05-26T00:45:53",420000,420000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7479.3250087258784},"managerial","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7479.3250087258784}]
[null,"ID0613","2012-05-26T10:22:45","INR 420000",420000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7479.3250087258784},"Assistant EDP","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7479.3250087258784}]
[null,"ID1035","2012-05-28T13:02:56","Rs 4,20,000 ",420000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7479.3250087258784},"Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7479.3250087258784}]
[null,"ID1909","2012-06-19T21:01:21",420000,420000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7479.3250087258784},"Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7479.3250087258784}]
[null,"ID0739","2012-05-26T15:51:11",410000,410000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7301.2458418514525},"MIS Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7301.2458418514525}]
[null,"ID1061","2012-05-28T14:34:34",408000,408000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7265.630008476568},"Sr Exec - Finance","Accountant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7265.630008476568}]
[null,"ID1020","2012-05-28T12:10:09",7265,7265,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7265},"Softwar Engineer","Engineer","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7265}]
[null,"ID1260","2012-05-29T07:57:04",800000,9600000,"MONGOLIAN",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7261.724659606657},"Analyst","Analyst","Mongolia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Mongolia"},"All the 8 hours baby, all the 8!",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7261.724659606657}]
[null,"ID1494","2012-05-30T20:53:12","7200 USD per year aprox",7200,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7200},"control process auxiliary","Controller","Colombia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Colombia"},"4 to 6 hours a day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7200}]
[null,"ID1080","2012-05-28T15:33:23",600,7200,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7200},"Data Entry Operator","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7200}]
[null,"ID1193","2012-05-28T23:17:12","US$ 7,200",7200,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7200},"Supervisor MIS","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7200}]
[null,"ID0040","2012-05-25T05:13:50","Rs. 400000",400000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7123.1666749770275},"Coordination","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7123.1666749770275}]
[null,"ID0336","2012-05-26T01:33:37","400000 INR",400000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7123.1666749770275},"Test Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7123.1666749770275}]
[null,"ID0407","2012-05-26T02:09:57",400000,400000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7123.1666749770275},"Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7123.1666749770275}]
[null,"ID0598","2012-05-26T08:51:04","4,00,000",400000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7123.1666749770275},"BPO","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7123.1666749770275}]
[null,"ID0645","2012-05-26T11:50:03","Rs 4,00,000",400000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7123.1666749770275},"Sr Processor","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7123.1666749770275}]
[null,"ID0711","2012-05-26T14:14:35",400000,400000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7123.1666749770275},"Consultant","Consultant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",0,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7123.1666749770275}]
[null,"ID0724","2012-05-26T14:58:24","Rs.4lk ",400000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7123.1666749770275},"sr. mis executive","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7123.1666749770275}]
[null,"ID0788","2012-05-26T19:43:36","INR 400000",400000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7123.1666749770275},"Asst.Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7123.1666749770275}]
[null,"ID0889","2012-05-27T13:41:04","400000 Rs",400000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7123.1666749770275},"engineer","Engineer","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7123.1666749770275}]
[null,"ID0894","2012-05-27T14:04:31","Rs. 400000",400000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7123.1666749770275},"Accountancy","Accountant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7123.1666749770275}]
[null,"ID1031","2012-05-28T12:57:13","Rs. 4,00,000/-",400000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7123.1666749770275},"Sr. Executive","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7123.1666749770275}]
[null,"ID1131","2012-05-28T18:02:44","4,00,000",400000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7123.1666749770275},"Sr. Team Lead - MIS","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",9,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7123.1666749770275}]
[null,"ID1139","2012-05-28T18:40:08",400000,400000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7123.1666749770275},"software engineer","Engineer","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7123.1666749770275}]
[null,"ID1234","2012-05-29T02:22:13",400000,400000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7123.1666749770275},"Pmo","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7123.1666749770275}]
[null,"ID1290","2012-05-29T12:20:32","400000INR",400000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7123.1666749770275},"PMO","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7123.1666749770275}]
[null,"ID1463","2012-05-30T14:09:10","4 Lakhs INR p.a",400000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7123.1666749770275},"Reporting Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7123.1666749770275}]
[null,"ID1627","2012-06-02T20:50:40",400000,400000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7123.1666749770275},"application dev","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",2.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7123.1666749770275}]
[null,"ID1702","2012-06-06T01:04:35","4 lacs INR",400000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7123.1666749770275},"Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7123.1666749770275}]
[null,"ID1801","2012-06-12T01:58:00",400000,400000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7123.1666749770275},"business analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7123.1666749770275}]
[null,"ID1883","2012-06-17T01:34:46","4,00,000",400000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7123.1666749770275},"technical analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7123.1666749770275}]
[null,"ID0693","2012-05-26T13:24:14",7000,7000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7000},"Business Executive","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",23,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7000}]
[null,"ID1074","2012-05-28T15:12:38",7000,7000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7000},"MIS Executive","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7000}]
[null,"ID1625","2012-06-02T18:47:32",7000,7000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":7000},"M.I.S","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":7000}]
[null,"ID0728","2012-05-26T15:04:33","INR 390000 PA",390000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6945.0875081026015},"Business Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6945.0875081026015}]
[null,"ID0611","2012-05-26T10:01:28",380000,380000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6767.0083412281756},"Incharge","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6767.0083412281756}]
[null,"ID0694","2012-05-26T13:24:36",380000,380000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6767.0083412281756},"Team Lead Mis","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6767.0083412281756}]
[null,"ID1540","2012-05-31T16:10:28","Rs. 380000",380000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6767.0083412281756},"reporting analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6767.0083412281756}]
[null,"ID1077","2012-05-28T15:27:59",560,6720,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6720},"MIS Executive","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6720}]
[null,"ID1845","2012-06-14T18:27:04",560,6720,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6720},"accoutant","Accountant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6720}]
[null,"ID0799","2012-05-26T21:05:35","Rs. 377000",377000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6713.584591165848},"Team Developer","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6713.584591165848}]
[null,"ID0720","2012-05-26T14:46:55",375000,375000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6677.9687577909626},"Team Lead","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6677.9687577909626}]
[null,"ID0434","2012-05-26T02:34:00","US $6,629.00",6629,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6629},"Engineer","Engineer","Dominican Republic",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Dominican Republic"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6629}]
[null,"ID1347","2012-05-29T18:00:19",6600,6600,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6600},"MIS HR,HRIS","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",6.4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6600}]
[null,"ID0352","2012-05-26T01:41:32","3,70,000",370000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6588.9291743537506},"Senior Design Associate","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6588.9291743537506}]
[null,"ID0702","2012-05-26T13:46:52","370000 inr",370000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6588.9291743537506},"Operations Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6588.9291743537506}]
[null,"ID0703","2012-05-26T13:47:06","370000 inr",370000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6588.9291743537506},"Operations Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6588.9291743537506}]
[null,"ID1640","2012-06-03T10:10:43",6545,6545,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6545},"Operations","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",9,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6545}]
[null,"ID1018","2012-05-28T12:00:14",3.65,365000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6499.8895909165376},"associate analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6499.8895909165376}]
[null,"ID0032","2012-05-25T04:57:06","360000 INR",360000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6410.8500074793246},"Specialist","Specialist","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6410.8500074793246}]
[null,"ID0340","2012-05-26T01:35:18","30000 Rs",360000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6410.8500074793246},"Business Analysit","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6410.8500074793246}]
[null,"ID0751","2012-05-26T16:26:35","INR 30000",360000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6410.8500074793246},"Project Lead","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6410.8500074793246}]
[null,"ID0828","2012-05-26T23:03:59","30000 Rs",360000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6410.8500074793246},"Application Developer","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6410.8500074793246}]
[null,"ID1281","2012-05-29T10:51:02","Rs.3.6 Lakhs pa",360000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6410.8500074793246},"Team Leader WFM","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6410.8500074793246}]
[null,"ID1314","2012-05-29T15:04:11","INR360000",360000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6410.8500074793246},"Sr. Executive -HR","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6410.8500074793246}]
[null,"ID1465","2012-05-30T14:21:57",360000,360000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6410.8500074793246},"analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6410.8500074793246}]
[null,"ID1588","2012-06-01T10:57:59","30000 Rs",360000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6410.8500074793246},"team leader ","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6410.8500074793246}]
[null,"ID1736","2012-06-07T17:09:18",360000,360000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6410.8500074793246},"Baan ERP Functional Consultant","Consultant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6410.8500074793246}]
[null,"ID1876","2012-06-16T14:10:51","INR 360000",360000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6410.8500074793246},"Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6410.8500074793246}]
[null,"ID0541","2012-05-26T05:27:37","PKR 50,000",600000,"PKR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6368.453230079479},"Trainer","Consultant","Pakistan",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Pakistan"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6368.453230079479}]
[null,"ID0222","2012-05-26T00:57:35","INR 350k",350000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6232.7708406048987},"Jr. Executive Finance","Accountant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6232.7708406048987}]
[null,"ID1013","2012-05-28T11:33:07","350000 Rs",350000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6232.7708406048987},"Data Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",2.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6232.7708406048987}]
[null,"ID1184","2012-05-28T22:54:24","Rs. 350000",350000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6232.7708406048987},"officer accounts","Accountant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",1.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6232.7708406048987}]
[null,"ID1301","2012-05-29T13:40:09","3.5 lakhs p.a",350000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6232.7708406048987},"I dont know","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",1.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6232.7708406048987}]
[null,"ID1879","2012-06-16T17:49:27","3.5 lac",350000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6232.7708406048987},"Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6232.7708406048987}]
[null,"ID1894","2012-06-18T17:51:52","Rs. 350000",350000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6232.7708406048987},"manager purchase","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",27,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6232.7708406048987}]
[null,"ID1651","2012-06-04T01:45:03",340000,340000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6054.6916737304728},"Assistant Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6054.6916737304728}]
[null,"ID1732","2012-06-07T14:06:38","6000 US",6000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6000},"Reporting Coordinator","Reporting","Armenia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Armenia"},"All the 8 hours baby, all the 8!",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6000}]
[null,"ID0841","2012-05-27T00:07:52",6000,6000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6000},"Analysis Quality","Analyst","Colombia - South America",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Colombia"},"1 or 2 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6000}]
[null,"ID0577","2012-05-26T07:14:02",6000,6000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6000},"In Charge","Manager","Guyana",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Guyana"},"1 or 2 hours a day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6000}]
[null,"ID0492","2012-05-26T03:34:15",6000,6000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6000},"MIS","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6000}]
[null,"ID0750","2012-05-26T16:25:53",6000,6000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6000},"Merchandiser","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6000}]
[null,"ID1039","2012-05-28T13:11:42",6000,6000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6000},"Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6000}]
[null,"ID1160","2012-05-28T21:55:25",500,6000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6000},"AM Ops","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6000}]
[null,"ID1601","2012-06-01T20:12:22","500 USD",6000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6000},"Business Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6000}]
[null,"ID1151","2012-05-28T20:19:57",6000,6000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":6000},"Assistant Accountant","Accountant","Zambia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Zambia"},"All the 8 hours baby, all the 8!",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":6000}]
[null,"ID0141","2012-05-26T00:43:36","28000rs",336000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5983.4600069807029},"MIS Team Leader","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5983.4600069807029}]
[null,"ID0001","2012-05-25T03:11:32",5846,5846,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5846},"MIS Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5846}]
[null,"ID0667","2012-05-26T12:46:26",5800,5800,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5800},"Asst. Manager(Commercial)","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5800}]
[null,"ID0676","2012-05-26T12:59:41",325000,325000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5787.5729234188348},"MIS Executive","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",4.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5787.5729234188348}]
[null,"ID1462","2012-05-30T13:56:48","320000 INR",320000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5698.5333399816218},"Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5698.5333399816218}]
[null,"ID1632","2012-06-03T01:33:57",320000,320000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5698.5333399816218},"senior executive","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5698.5333399816218}]
[null,"ID1663","2012-06-04T18:55:54","INR 3.2 lpa",320000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5698.5333399816218},"Research Associate","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",2.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5698.5333399816218}]
[null,"ID1578","2012-06-01T05:37:32",240000,240000,"PHP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5689.2125418690484},"IT Coordinator","Manager","Philippines",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Philippines"},"4 to 6 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5689.2125418690484}]
[null,"ID1324","2012-05-29T15:49:41",314000,314000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5591.6858398569666},"relationship manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",0.1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5591.6858398569666}]
[null,"ID0654","2012-05-26T12:20:07",450,5400,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5400},"manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5400}]
[null,"ID0406","2012-05-26T02:08:10",300000,300000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5342.3750062327708},"Sr. Systems Engineer","Engineer","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5342.3750062327708}]
[null,"ID0442","2012-05-26T02:42:20","Rs. 300000",300000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5342.3750062327708},"Web Portal Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5342.3750062327708}]
[null,"ID0639","2012-05-26T11:39:48","Rs 300000",300000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5342.3750062327708},"Planning Engineer","Engineer","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5342.3750062327708}]
[null,"ID0644","2012-05-26T11:47:38","25000 INR",300000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5342.3750062327708},"MIS","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5342.3750062327708}]
[null,"ID0664","2012-05-26T12:33:48","Rs 300000",300000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5342.3750062327708},"Mis Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",4.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5342.3750062327708}]
[null,"ID0691","2012-05-26T13:22:43",300000,300000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5342.3750062327708},"govt","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5342.3750062327708}]
[null,"ID0701","2012-05-26T13:44:53","25000 rupess",300000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5342.3750062327708},"Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5342.3750062327708}]
[null,"ID0773","2012-05-26T17:49:17","Rs. 300000",300000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5342.3750062327708},"OPEX CONTROL","Controller","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5342.3750062327708}]
[null,"ID0881","2012-05-27T12:35:15","3 lacs P.A",300000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5342.3750062327708},"Sales","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5342.3750062327708}]
[null,"ID0919","2012-05-27T18:33:51","300000RS",300000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5342.3750062327708},"ANALYST","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",0.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5342.3750062327708}]
[null,"ID1032","2012-05-28T12:58:44","3 Lakh ",300000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5342.3750062327708},"ACCOUNTS","Accountant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5342.3750062327708}]
[null,"ID1069","2012-05-28T14:52:45","Rs. 25000",300000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5342.3750062327708},"Professional consultant-Finance","Consultant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5342.3750062327708}]
[null,"ID1114","2012-05-28T16:59:48","INR 300000",300000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5342.3750062327708},"Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5342.3750062327708}]
[null,"ID1230","2012-05-29T01:50:01",300000,300000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5342.3750062327708},"Finance Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5342.3750062327708}]
[null,"ID1289","2012-05-29T12:19:39","3,00,000.00",300000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5342.3750062327708},"MIS OFFICER","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5342.3750062327708}]
[null,"ID1338","2012-05-29T17:09:52",300000,300000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5342.3750062327708},"Financial Modelling Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5342.3750062327708}]
[null,"ID1448","2012-05-30T11:43:50",300000,300000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5342.3750062327708},"accountant","Accountant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5342.3750062327708}]
[null,"ID1658","2012-06-04T12:58:06",300000,300000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5342.3750062327708},"Store Inventory","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5342.3750062327708}]
[null,"ID1771","2012-06-09T12:01:19",444,5320,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5320},"Officer","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5320}]
[null,"ID1350","2012-05-29T18:14:53","USD 5300",5300,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5300},"Asst. Production Manager","Manager","Pakistan",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Pakistan"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5300}]
[null,"ID0467","2012-05-26T03:11:21","5250 $",5250,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5250},"Treasure Specialist","Specialist","Republic of Georgia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Republic of Georgia"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5250}]
[null,"ID1136","2012-05-28T18:34:12","PhP 216,000",216000,"PHP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5120.2912876821438},"Planner","Manager","Philippines",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Philippines"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5120.2912876821438}]
[null,"ID1067","2012-05-28T14:46:42",5100,5100,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5100},"MIS Executive","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5100}]
[null,"ID1245","2012-05-29T04:30:10","IDR 4000000",48000000,"IDR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5082.6943786459069},"Office Instructor","Analyst","Indonesia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Indonesia"},"1 or 2 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5082.6943786459069}]
[null,"ID0738","2012-05-26T15:44:32",5022,5022,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5022},"Accounts analyst","Analyst","Pakistan",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Pakistan"},"4 to 6 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5022}]
[null,"ID0864","2012-05-27T04:12:04",5000,5000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5000},"Policy advisor","Consultant","Aruba",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Aruba"},"1 or 2 hours a day",13,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5000}]
[null,"ID0448","2012-05-26T02:50:16","5000 $",5000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5000},"mis","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5000}]
[null,"ID0847","2012-05-27T01:04:46",5000,5000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5000},"Management Intern","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5000}]
[null,"ID1497","2012-05-30T21:26:04",5000,5000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5000},"Officer MIS","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5000}]
[null,"ID1887","2012-06-17T12:48:52",5000,5000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5000},"admin","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5000}]
[null,"ID1892","2012-06-18T08:19:01",5000,5000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5000},"analyst ","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5000}]
[null,"ID1912","2012-06-19T22:42:55",5000,5000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":5000},"abc","Misc.","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":5000}]
[null,"ID1818","2012-06-12T21:47:54",280000,280000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4986.216672483919},"Sales Cordinator","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4986.216672483919}]
[null,"ID0698","2012-05-26T13:37:50",278400,278400,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4957.7240057840108},"Asst. Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4957.7240057840108}]
[null,"ID1503","2012-05-30T22:59:44","278000 PA",278000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4950.6008391090336},"MIS Executive","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4950.6008391090336}]
[null,"ID0267","2012-05-26T01:08:39","rs 2.76 lakhs per year",276000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4914.9850057341491},"analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4914.9850057341491}]
[null,"ID1914","2012-06-20T00:27:54","Rs23000/month",276000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4914.9850057341491},"MIS specialist","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4914.9850057341491}]
[null,"ID0669","2012-05-26T12:50:08","23000 Rupees",276000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4914.9850057341491},"Education Officer","Manager","Pakistan",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Pakistan"},"1 or 2 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4914.9850057341491}]
[null,"ID0201","2012-05-26T00:53:02","Rs. 275000",275000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4897.177089046706},"low level monitoring","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4897.177089046706}]
[null,"ID1334","2012-05-29T16:49:44",275000,275000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4897.177089046706},"TL WFM","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4897.177089046706}]
[null,"ID1034","2012-05-28T13:01:42","PK RS 456000",456000,"PKR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4840.0244548604041},"Strategic Planning Executive","Manager","Pakistan",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Pakistan"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4840.0244548604041}]
[null,"ID1860","2012-06-15T15:43:42",270000,270000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4808.137505609493},"Team Lead","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4808.137505609493}]
[null,"ID0742","2012-05-26T15:56:57","4800 $",4800,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4800},"Data Analysis","Analyst","Bhutan",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Bhutan"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4800}]
[null,"ID1212","2012-05-29T00:25:46",800,4800,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4800},"Financial Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4800}]
[null,"ID1819","2012-06-12T21:58:21",4800,4800,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4800},"Sr Executive","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4800}]
[null,"ID0684","2012-05-26T13:11:01","Rs. 260000",260000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4630.058338735068},"Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4630.058338735068}]
[null,"ID1745","2012-06-08T02:28:45","Rs. 21500",258000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4594.4425053601826},"Senior Data Associate","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4594.4425053601826}]
[null,"ID0324","2012-05-26T01:29:32","US$ 4.545",4545,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4545},"Supply Processes Analyst","Analyst","Brasil",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Brazil"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4545}]
[null,"ID0872","2012-05-27T08:54:28",4500,4500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4500},"senior associate","Analyst","indonesia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Indonesia"},"2 to 3 hours per day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4500}]
[null,"ID1591","2012-06-01T14:50:41",4500,4500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4500},"Assistant Manger Service Quality Assurance","Analyst","Pakistan",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Pakistan"},"4 to 6 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4500}]
[null,"ID1048","2012-05-28T13:46:17",252000,252000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4487.5950052355274},"Accounts Exec","Accountant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4487.5950052355274}]
[null,"ID1123","2012-05-28T17:22:19","252000 INR",252000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4487.5950052355274},"Inventory Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",16,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4487.5950052355274}]
[null,"ID0886","2012-05-27T13:27:19","Rs. 35000",420000,"PKR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4457.9172610556352},"Assistant Manager","Manager","Pakistan",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Pakistan"},"All the 8 hours baby, all the 8!",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4457.9172610556352}]
[null,"ID0678","2012-05-26T13:01:53","2.5lakh",250000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4451.9791718606421},"ASM","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4451.9791718606421}]
[null,"ID0696","2012-05-26T13:29:35","250000 rupees",250000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4451.9791718606421},"MIS executive","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4451.9791718606421}]
[null,"ID0726","2012-05-26T15:01:41","Rs. 250000",250000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4451.9791718606421},"Asst. Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4451.9791718606421}]
[null,"ID1078","2012-05-28T15:29:24","INR 2.5 Lakh",250000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4451.9791718606421},"SR. MIS ","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",3.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4451.9791718606421}]
[null,"ID1090","2012-05-28T15:49:54","Rs. 250000",250000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4451.9791718606421},"MIS Executive","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4451.9791718606421}]
[null,"ID1207","2012-05-29T00:07:00",250000,250000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4451.9791718606421},"Officer Production","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4451.9791718606421}]
[null,"ID1360","2012-05-29T19:06:14","2.5 per lacks",250000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4451.9791718606421},"Credit Executive","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4451.9791718606421}]
[null,"ID1390","2012-05-29T21:50:45","Rs 250000",250000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4451.9791718606421},"Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4451.9791718606421}]
[null,"ID1464","2012-05-30T14:19:07","Rs.2,50,000.00",250000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4451.9791718606421},"Manager Commercial","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4451.9791718606421}]
[null,"ID1590","2012-06-01T14:32:41",250000,250000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4451.9791718606421},"Analytics engineer","Engineer","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",2.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4451.9791718606421}]
[null,"ID1903","2012-06-19T15:15:38",250000,250000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4451.9791718606421},"MIS EXECUTIVE","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4451.9791718606421}]
[null,"ID1916","2012-06-20T01:20:49",250000,250000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4451.9791718606421},"research associate","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"Excel ?!? What Excel?",1.6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4451.9791718606421}]
[null,"ID1221","2012-05-29T01:06:44",4400,4400,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4400},"Manager Corporate Finance","Manager","Latin America",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Latin America"},"2 to 3 hours per day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4400}]
[null,"ID1447","2012-05-30T11:38:53",363,4356,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4356},"Business Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4356}]
[null,"ID0054","2012-05-25T06:10:18",4320,4320,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4320},"Financial Planner","Accountant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4320}]
[null,"ID1124","2012-05-28T17:34:16",242304,242304,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4314.929445034084},"accountant","Accountant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4314.929445034084}]
[null,"ID0576","2012-05-26T07:06:50","USD 4285.00",4285,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4285},"Assistant","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4285}]
[null,"ID0427","2012-05-26T02:25:10","20000 RS",240000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4273.9000049862161},"WFM Team Lead","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4273.9000049862161}]
[null,"ID0603","2012-05-26T08:58:55","Rs. 20000",240000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4273.9000049862161},"Talati","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4273.9000049862161}]
[null,"ID0754","2012-05-26T16:34:18","INR240000",240000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4273.9000049862161},"SR. ACCOUNTS EXECUTIVE","Accountant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4273.9000049862161}]
[null,"ID0760","2012-05-26T17:03:26","INR 20000",240000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4273.9000049862161},"EXECUTIVE","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4273.9000049862161}]
[null,"ID0787","2012-05-26T19:34:12",240000,240000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4273.9000049862161},"Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4273.9000049862161}]
[null,"ID0813","2012-05-26T22:08:56","Rs 20000",240000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4273.9000049862161},"MANAGER","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4273.9000049862161}]
[null,"ID1089","2012-05-28T15:49:22",240000,240000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4273.9000049862161},"Executive","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4273.9000049862161}]
[null,"ID1099","2012-05-28T16:10:52","Rs. 20000",240000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4273.9000049862161},"Accountant","Accountant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",20,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4273.9000049862161}]
[null,"ID1660","2012-06-04T14:25:45","240000 INR",240000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4273.9000049862161},"Exicutive TQM","Controller","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4273.9000049862161}]
[null,"ID0629","2012-05-26T11:09:27",4200,4200,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4200},"MIS Executive","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4200}]
[null,"ID0197","2012-05-26T00:52:30",233000,233000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4149.2445881741187},"Asst. Manager (MIS)","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4149.2445881741187}]
[null,"ID0668","2012-05-26T12:48:19","230000 INR",230000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4095.8208381117906},"MIS Executive","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4095.8208381117906}]
[null,"ID1474","2012-05-30T17:01:10",230000,230000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4095.8208381117906},"Process Assocaite","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",1.6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4095.8208381117906}]
[null,"ID1645","2012-06-03T14:27:29",4019,4019,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4019},"Clinical Intake Specialist","Specialist","Philippines",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Philippines"},"2 to 3 hours per day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4019}]
[null,"ID0758","2012-05-26T17:02:46","Rs. 225000",225000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4006.7812546745777},"MIS Executive","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",5.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4006.7812546745777}]
[null,"ID0625","2012-05-26T11:03:48",4000,4000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4000},"MIS Executive","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4000}]
[null,"ID0647","2012-05-26T11:55:17",4000,4000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4000},"MIS Executive","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4000}]
[null,"ID0653","2012-05-26T12:19:53",4000,4000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4000},"Coordinator","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4000}]
[null,"ID1479","2012-05-30T18:15:28",4000,4000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4000},"M I S Executive","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4000}]
[null,"ID1902","2012-06-19T12:39:16",4000,4000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":4000},"operator","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":4000}]
[null,"ID0901","2012-05-27T15:01:02","PhP168000",168000,"PHP",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3982.448779308334},"Clerk","Analyst","Philippines",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Philippines"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3982.448779308334}]
[null,"ID0682","2012-05-26T13:05:03","220000 in INR",220000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3917.7416712373652},"Accounts Payable Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3917.7416712373652}]
[null,"ID0775","2012-05-26T18:19:49","2.2 lakhs per annum",220000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3917.7416712373652},"Associate Software Engineer","Engineer","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3917.7416712373652}]
[null,"ID0347","2012-05-26T01:39:37","3.8 k",3800,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3800},"MIS EXCUTIVE","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3800}]
[null,"ID1036","2012-05-28T13:05:39",210000,210000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3739.6625043629392},"MIS executive","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",3.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3739.6625043629392}]
[null,"ID1125","2012-05-28T17:38:46",210000,210000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3739.6625043629392},"information Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3739.6625043629392}]
[null,"ID1311","2012-05-29T14:55:29","210000 per annum",210000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3739.6625043629392},"MIS cum Purchase Executive","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",4.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3739.6625043629392}]
[null,"ID0771","2012-05-26T17:47:00",205000,205000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3650.6229209257262},"BRANCH ACCOUNTANT","Accountant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3650.6229209257262}]
[null,"ID0998","2012-05-28T09:41:04",204000,204000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3632.815004238284},"Retired Government Officer, having knowledge in excel.","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",0,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3632.815004238284}]
[null,"ID1330","2012-05-29T16:26:15","17000 Rs",204000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3632.815004238284},"MIS Associate","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3632.815004238284}]
[null,"ID1795","2012-06-11T21:29:29",300,3600,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3600},"Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3600}]
[null,"ID0230","2012-05-26T00:58:56",200000,200000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3561.5833374885137},"medical biller","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3561.5833374885137}]
[null,"ID0420","2012-05-26T02:19:12","INR 200000",200000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3561.5833374885137},"Consultant","Consultant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3561.5833374885137}]
[null,"ID0497","2012-05-26T03:49:21","200000 Rupees",200000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3561.5833374885137},"chemist","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3561.5833374885137}]
[null,"ID0636","2012-05-26T11:36:04","Rs. 200000",200000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3561.5833374885137},"Auditor","Accountant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3561.5833374885137}]
[null,"ID0665","2012-05-26T12:35:42","INR 2 l;acks",200000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3561.5833374885137},"MIS EXECUTIVE","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3561.5833374885137}]
[null,"ID0846","2012-05-27T00:53:20","2 lac",200000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3561.5833374885137},"Bio-Statiscian","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3561.5833374885137}]
[null,"ID0848","2012-05-27T01:22:06","INR 2,00,000",200000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3561.5833374885137},"Sales Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3561.5833374885137}]
[null,"ID1046","2012-05-28T13:42:35","2,00,000 INR",200000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3561.5833374885137},"Monitoring & evaluation officer","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3561.5833374885137}]
[null,"ID1065","2012-05-28T14:44:26","Rs 200000",200000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3561.5833374885137},"Business Development Executive","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3561.5833374885137}]
[null,"ID1066","2012-05-28T14:45:04","2LAKHS",200000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3561.5833374885137},"MIS Executive","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3561.5833374885137}]
[null,"ID1142","2012-05-28T19:05:22","200000 rupees",200000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3561.5833374885137},"MIS Sr. Executive","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3561.5833374885137}]
[null,"ID1178","2012-05-28T22:48:32","INR 20 Lakhs p.a.",200000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3561.5833374885137},"Associate","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3561.5833374885137}]
[null,"ID1313","2012-05-29T15:02:56","2 LPA",200000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3561.5833374885137},"MIS","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3561.5833374885137}]
[null,"ID1469","2012-05-30T16:12:34","Rs. 200000",200000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3561.5833374885137},"Executive","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",11,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3561.5833374885137}]
[null,"ID1536","2012-05-31T11:08:38","Rs. 200000/-",200000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3561.5833374885137},"Accounts Executive","Accountant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3561.5833374885137}]
[null,"ID1687","2012-06-05T18:31:59","200000 INR",200000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3561.5833374885137},"Executive","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",16,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3561.5833374885137}]
[null,"ID1105","2012-05-28T16:28:25",3500,3500,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3500},"OFFICER","Manager","PAKISTAN",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Pakistan"},"4 to 6 hours a day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3500}]
[null,"ID0939","2012-05-27T23:43:21",290,3480,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3480},"Reconciliation Manager in Textile Mill","Manager","Pakistan",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Pakistan"},"All the 8 hours baby, all the 8!",6,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3480}]
[null,"ID0202","2012-05-26T00:53:18","INR 16000",192000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3419.1200039889732},"Administrative","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3419.1200039889732}]
[null,"ID1683","2012-06-05T07:05:12","Rs 16000",192000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3419.1200039889732},"Sr Associate","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3419.1200039889732}]
[null,"ID1652","2012-06-04T02:03:53","280$/ month",3360,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3360},"service executive","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3360}]
[null,"ID0172","2012-05-26T00:48:48",180000,180000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3205.4250037396623},"Sr. Associate","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3205.4250037396623}]
[null,"ID0178","2012-05-26T00:49:35",180000,180000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3205.4250037396623},"Sr. Associate","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3205.4250037396623}]
[null,"ID0297","2012-05-26T01:19:37","Rs.1.8 lakhs ",180000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3205.4250037396623},"Administrative Officer","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3205.4250037396623}]
[null,"ID0699","2012-05-26T13:42:21",180000,180000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3205.4250037396623},"accounts","Accountant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",14,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3205.4250037396623}]
[null,"ID0719","2012-05-26T14:41:00","Rs 15000",180000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3205.4250037396623},"Import & Export Documentation Executive","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3205.4250037396623}]
[null,"ID0733","2012-05-26T15:21:41",180000,180000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3205.4250037396623},"Accountant","Accountant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3205.4250037396623}]
[null,"ID0904","2012-05-27T15:26:34","180000 INR",180000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3205.4250037396623},"Executive","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",3.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3205.4250037396623}]
[null,"ID0924","2012-05-27T20:51:55",180000,180000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3205.4250037396623},"MIS TEAM MEMBER","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",8,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3205.4250037396623}]
[null,"ID1005","2012-05-28T10:27:48",180000,180000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3205.4250037396623},"Audit executive","Analyst","INDIA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3205.4250037396623}]
[null,"ID1047","2012-05-28T13:43:01",1.8,180000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3205.4250037396623},"MIS EXCUTIVE","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3205.4250037396623}]
[null,"ID1112","2012-05-28T16:53:13","Rs. 15000",180000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3205.4250037396623},"Logistics Operation Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3205.4250037396623}]
[null,"ID1547","2012-05-31T17:34:34","Rs. 180000",180000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3205.4250037396623},"Asst Store Manager","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3205.4250037396623}]
[null,"ID1753","2012-06-08T13:55:44","15000inr",180000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3205.4250037396623},"mis","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3205.4250037396623}]
[null,"ID1924","2012-06-20T12:53:56",180000,180000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3205.4250037396623},"Customer Resolution","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3205.4250037396623}]
[null,"ID1481","2012-05-30T18:47:17","US $ 3200",3200,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3200},"Regional Business Manager ","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",19,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3200}]
[null,"ID1026","2012-05-28T12:32:12",300000,300000,"PKR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3184.2266150397395},"Banker","Manager","Pakistan",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Pakistan"},"4 to 6 hours a day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3184.2266150397395}]
[null,"ID0809","2012-05-26T21:56:36",170000,170000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3027.3458368652364},"Sr. Executive MIS","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3027.3458368652364}]
[null,"ID1792","2012-06-11T19:40:47","3000 $",3000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3000},"executive","Analyst","Bangladesh",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Bangladesh"},"1 or 2 hours a day",12,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3000}]
[null,"ID0695","2012-05-26T13:29:12","3000 $",3000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3000},"Call Centre Consultant","Consultant","Cambodia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Cambodia"},"2 to 3 hours per day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3000}]
[null,"ID0859","2012-05-27T03:37:32","3000 $",3000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3000},"Statistical Analyst","Analyst","Pakistan",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Pakistan"},"2 to 3 hours per day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3000}]
[null,"ID1317","2012-05-29T15:18:45",250,3000,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":3000},"FANANCE","Accountant","SRI LANKA",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Sri Lanka"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":3000}]
[null,"ID1904","2012-06-19T17:01:38","52,224.00ETB",52224,"ETB",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":2953.8461538461538},"Project Costing &Dashboard reporting","Reporting","Ethiopia",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Ethiopia"},"4 to 6 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":2953.8461538461538}]
[null,"ID0661","2012-05-26T12:28:11","INR 165000",165000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":2938.3062534280239},"Co-operative bank","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",11,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":2938.3062534280239}]
[null,"ID0621","2012-05-26T10:59:39","1 lakh 60 thousand INR/Year",160000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":2849.2666699908109},"MIS Executive","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":2849.2666699908109}]
[null,"ID1132","2012-05-28T18:05:13",150252,150252,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":2675.675098121621},"KEY","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":2675.675098121621}]
[null,"ID0649","2012-05-26T12:05:35",150000,150000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":2671.1875031163854},"Executive","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":2671.1875031163854}]
[null,"ID0697","2012-05-26T13:31:20","Rs. 150000",150000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":2671.1875031163854},"Oprations head","CXO or Top Mgmt.","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",4.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":2671.1875031163854}]
[null,"ID0794","2012-05-26T20:31:30","ONE LACK FIFTY THOUSAND(INR)",150000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":2671.1875031163854},"WORKING WITH PRODUCT TEAM OF MAKEMYTRIP.COM","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":2671.1875031163854}]
[null,"ID1721","2012-06-06T20:07:43","1.5 LINR",150000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":2671.1875031163854},"MIS Executive","Reporting","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":2671.1875031163854}]
[null,"ID1785","2012-06-11T03:11:39",150000,150000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":2671.1875031163854},"ENGINEER","Engineer","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":2671.1875031163854}]
[null,"ID0093","2012-05-26T00:39:54","Rs. 12,000/-",144000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":2564.3400029917298},"Financial Consultant","Consultant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":2564.3400029917298}]
[null,"ID0687","2012-05-26T13:17:36","Rs. 144000",144000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":2564.3400029917298},"Team Leader","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":2564.3400029917298}]
[null,"ID0818","2012-05-26T22:29:21",144000,144000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":2564.3400029917298},"BPO information process enabler","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"All the 8 hours baby, all the 8!",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":2564.3400029917298}]
[null,"ID0879","2012-05-27T12:03:51",144000,144000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":2564.3400029917298},"Cost Trainee","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",1,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":2564.3400029917298}]
[null,"ID0923","2012-05-27T20:43:13","Rs. 144000",144000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":2564.3400029917298},"operation supervisor","Controller","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":2564.3400029917298}]
[null,"ID1082","2012-05-28T15:34:12",140000,140000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":2493.1083362419595},"Accountant","Accountant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":2493.1083362419595}]
[null,"ID1773","2012-06-10T00:50:26","1.40 lac",140000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":2493.1083362419595},"magic","Misc.","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":2493.1083362419595}]
[null,"ID1791","2012-06-11T17:54:22",200,2400,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":2400},"computer operator","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":2400}]
[null,"ID1050","2012-05-28T14:00:56",194,2400,"USD",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":2400},"Accounts Officer","Accountant","Pakistan",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Pakistan"},"2 to 3 hours per day",15,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":2400}]
[null,"ID0469","2012-05-26T03:13:13",125000,125000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":2225.989585930321},"clerk","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day","Unknown",{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":2225.989585930321}]
[null,"ID1649","2012-06-03T17:39:14","Rs. 125000",125000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":2225.989585930321},"No","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",4,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":2225.989585930321}]
[null,"ID0723","2012-05-26T14:57:45","PKR 17000",204000,"PKR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":2165.2740982270229},"Accounts Manager","Manager","Pakistan",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Pakistan"},"All the 8 hours baby, all the 8!",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":2165.2740982270229}]
[null,"ID0685","2012-05-26T13:12:48","1,20,000 INR",120000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":2136.9500024931081},"Data Analyst","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":2136.9500024931081}]
[null,"ID0708","2012-05-26T14:04:35","Rs 10000",120000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":2136.9500024931081},"Intern","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"1 or 2 hours a day",0,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":2136.9500024931081}]
[null,"ID0766","2012-05-26T17:10:20",120000,120000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":2136.9500024931081},"ACCOUNTANT","Accountant","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":2136.9500024931081}]
[null,"ID0897","2012-05-27T14:47:21",120000,120000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":2136.9500024931081},"co ordinator","Manager","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"4 to 6 hours a day",5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":2136.9500024931081}]
[null,"ID1029","2012-05-28T12:47:20",120000,120000,"INR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":2136.9500024931081},"Audit Assistant","Analyst","India",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"India"},"2 to 3 hours per day",3.5,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":2136.9500024931081}]
[null,"ID0659","2012-05-26T12:27:20",200000,200000,"PKR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":2122.8177433598262},"Accounts Officer","Accountant","Pakistan",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Pakistan"},"2 to 3 hours per day",2,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":2122.8177433598262}]
[null,"ID0783","2012-05-26T19:13:39","180000 PKR",180000,"PKR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":1910.5359690238436},"S&D Reporting & Analysis Team Leader","Reporting","Pakistan",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Pakistan"},"All the 8 hours baby, all the 8!",7,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":1910.5359690238436}]
[null,"ID1014","2012-05-28T11:37:17","LKR 240000",240000,"LKR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":1805.7739622442759},"Management Trainee","Manager","Sri Lanka",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Sri Lanka"},"4 to 6 hours a day",3,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":1805.7739622442759}]
[null,"ID1154","2012-05-28T20:43:31",168000,168000,"PKR",{"$f":"tblSalaries[[#This Row],[clean Salary (in local currency)]]*VLOOKUP(tblSalaries[[#This Row],[Currency]],mapping!D:E,2,FALSE)","v":1783.166904422254},"Accounts Assistant","Accountant","Pakistan",{"$f":"VLOOKUP(tblSalaries[[#This Row],[Where do you work]],tblCountries[[Actual]:[Mapping]],2,FALSE)","v":"Pakistan"},"4 to 6 hours a day",10,{"$f":"VLOOKUP(IF(FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)>19,19,FLOOR(tblSalaries[[#This Row],[Salary in USD]]/salary_step,1)),tblCountries4[#All],2,0)","v":"00 | 0 - 12500"},{"$f":"IF(VALUE(max_scatterplot)=0,tblSalaries[[#This Row],[Salary in USD]],IF(AND(tblSalaries[[#This Row],[Salary in USD]]>=VALUE(min_scatterplot),tblSalaries[[#This Row],[Salary in USD]]<=VALUE(max_scatterplot)),tblSalaries[[#This Row],[Salary in USD]],selection_false))","v":1783.166904422254}]

{"sheet":"Rules & Help","index":5,"n_rows":33,"n_cols":3,"rows_kept":33,"cut":false,"hidden":false,"merged":[]}
[]
[null,"Goals for analysis:"]
[null,"●","While you are free to analyze the data in any way, your output must meet these goals"]
[null,"●","Help us understand how much Excel professionals make all over the world"]
[null,"●","Help us understand relationship between salary and role, experience, country & hours of Excel work."]
[]
[null,"The Rules"]
[null,"●","You can make a dashboard or 1 page report"]
[null,"●","You can make several individual charts (or tables) too as long as they all fit in to one window."]
[null,"●","You can make interactive or static charts"]
[null,"●","You can also use VBA to add interaction to the charts."]
[null,"●","Even though you can use add-ins to make your report, user should be able to view your output without installing any add-ins"]
[null,"●","You can use Excel 2010, 2007 or 2003. Please note that this contest requires use of Excel."]
[null,"●","You can submit more than one entry."]
[null,"●","Your files must be unlocked & any macros you use must have enough comments so that others can learn."]
[null,"●","You can add data to this dataset (for example, PPP adjusted salaries, established salary benchmarks from public sources like govt. databases or websites)"]
[]
[]
[]
[null,"Values & Data:"]
[null,"●","All salaries are shown in USD."]
[null,"●","Currency calculations are as of 06-21-2012 provided by Xrates and XE.com."]
[null,"●","Data has been provided by participants of the online survey conducted by Chandoo.org."]
[null,"●","Due to the large variety of countries and currencies. Total salaries may vary a lot although they are calculated back to USD."]
[null,"●","Using a 'Scatterplot' concluded me to exclude all salaries larger then $200,000.00. This can be adjusted at antytime in the Scatterplot graph."]
[]
[null,"Functions"]
[null,"●","Use the main data filters to filter the data the graphs on the right use. "]
[null,"●","Check the Auto Clear function to autoreset all filters when viewing the sheet again."]
[null,"●","Select different values to show within the graphs using the dropdow boxes."]
[null,"●","Use the calculator below to return an average salary acording to the filters you chose."]
[null,"●","Use the optionbuttons to switch between graphs."]
[null,"●","In the World map (at section Country Graph) click on any continent to see their country's and average salaries."]

{"sheet":"Map","index":6,"n_rows":40,"n_cols":98,"rows_kept":40,"cut":false,"hidden":false,"merged":[]}
[]
[]
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