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nombre 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
31d62e03fcf3544648c02155014546809dac0229a3b0815cd1eb63e06cb85aba 1005 915.0 975.0 945.0
3841bcb9343a6d167496a18266ded7c753e8fb19a4649a82331e1a9f7d23eaad 1020 1085.0 1125.0 1125.0 1170.0 1100.0 1045.0 1170.0 1200.0
74ca3313dd1c3afc682cfa7f77504a1c534cb3df8c69a302b9181dc7adab27a0 510 550.0
f8eea3c6bd34bf2e817886df1ed3a763b79452b1d56a7225ce1a4360565f2495 1065 1040.0 1115.0 1060.0
ef3bd5a253a7a92803475f039278330325979b69b7b4f8542284c1ec20f28be9 960 990.0 980.0 1030.0
480804347f232c94198f5c70b791fc43c9470f32b3fd5605f873fdc63898e8b6 1365 1300.0 1230.0
18f47dd9ccb35c140067b7e9d0431e542a0c53c194b4a0bccd5c2d73e6f861ff 1155 1195.0 1155.0 1190.0
e719cb65ccdf9933481d491b0a27a6e9f836b93f2fe82d9e9b8b1ee8c15b10ff 1065 1110.0 1145.0
afd20f8f6d14e16663052ededd0295ef13e275891d9d029eb8661d28d937bd63 1425 1605.0 1495.0 1515.0
tiempo_completo id_personal mes mes_id sku_id ventas_totales ingresos_anio_pasado calificacion_servicio comentarios_adicionales fecha_contratacion
si 1 enero 1 1 18 28800 Regular lento servicial amigable 27/06/2012
si 1 febrero 2 1 6 9600 Excelente servicial 27/06/2012
si 1 marzo 3 1 16 25600 Excelente atento 27/06/2012
si 1 abril 4 1 1 1600 Excelente amable servicial 27/06/2012
si 1 mayo 5 1 6 9600 Excelente servicial 27/06/2012
si 1 junio 6 1 1 1600 Excelente atento 27/06/2012
si 1 julio 7 1 16 25600 Excelente amable servicial 27/06/2012
si 1 agosto 8 1 19 30400 Excelente servicial 27/06/2012
si 1 septiembre 9 1 1 1600 Excelente atento 27/06/2012
pdv_id mes mes_id sku_id ventas_totales ventas_totales_en_tienda_de_cada_mes ventas_totales_1_mes_pasado promedio_ventas_totales_por_sku_en_cada_mes
1 enero 1 1 2 23 2
1 2 1 0 27 2
1 marzo 3 1 1 28 0
1 abril 4 1 0 31 1
1 mayo 1 0 37 0
1 junio 6 1 0 12 0
1 julio 7 1 0 38 0
1 agosto 8 1 0 43 0
1 septiembre 9 1 0 32 0
We can't make this file beautiful and searchable because it's too large.
Employee_ID,Gender,Age,Education_Level,Relationship_Status,Hometown,Unit,Decision_skill_possess,Time_of_service,Time_since_promotion,growth_rate,Travel_Rate,Post_Level,Pay_Scale,Compensation_and_Benefits,Work_Life_balance,Attrition_rate
EID_23371,F,42,4,Married,Franklin,IT,Conceptual,4,4,33,1,1,7,type2,3,0.1841
EID_18000,M,24,3,Single,Springfield,Logistics,Analytical,5,4,36,0,3,6,type2,4,0.067
EID_3891,F,58,3,Married,Clinton,Quality,Conceptual,27,3,51,0,2,8,type2,1,0.0851
EID_17492,F,26,3,Single,Lebanon,Human Resource Management,Behavioral,4,3,56,1,3,8,type2,1,0.0668
EID_22534,F,31,1,Married,Springfield,Logistics,Conceptual,5,4,62,1,3,2,type3,3,0.1827
EID_2278,M,54,3,Married,Lebanon,Purchasing,Conceptual,19,1,21,2,5,9,type2,1,0.7613
EID_18588,F,21,4,Married,Springfield,Purchasing,Directive,2,1,50,1,1,6,type2,2,0.2819
EID_1235,F,,3,Married,Springfield,Sales,Directive,34,4,23,1,4,6,type3,2,0.1169
EID_10197,M,40,4,Single,Springfield,Production,Analytical,13,1,49,0,1,9,type0,4,0.1968
ID Name CountryCode District Population
1 Kabul AFG Kabol 1780000
2 Qandahar AFG Qandahar 237500
3 Herat AFG Herat 186800
4 Mazar-e-Sharif AFG Balkh 127800
5 Amsterdam NLD Noord-Holland 731200
6 Rotterdam NLD Zuid-Holland 593321
7 Haag NLD Zuid-Holland 440900
8 Utrecht NLD Utrecht 234323
9 Eindhoven NLD Noord-Brabant 201843
We can make this file beautiful and searchable if this error is corrected: It looks like row 9 should actually have 13 columns, instead of 12 in line 8.
Code,Name,Continent,Region,SurfaceArea,IndepYear,Population,LifeExpectancy,GNP,GNPOld,LocalName,GovernmentForm,Capital
ABW,Aruba,North America,Caribbean,193,NULL,103000,78.4,828,793,Aruba,Nonmetropolitan Territory of The Netherlands,129
AFG,Afghanistan,Asia,Southern and Central Asia,652090,1919,22720000,45.9,5976,NULL,Afganistan/Afqanestan,Islamic Emirate,1
AGO,Angola,Africa,Central Africa,1246700,1975,12878000,38.3,6648,7984,Angola,Republic,56
AIA,Anguilla,North America,Caribbean,96,NULL,8000,76.1,63.2,NULL,Anguilla,Dependent Territory of the UK,62
ALB,Albania,Europe,Southern Europe,28748,1912,3401200,71.6,3205,2500,Shqipëria,Republic,34
AND,Andorra,Europe,Southern Europe,468,1278,78000,83.5,1630,NULL,Andorra,Parliamentary Coprincipality,55
ANT,Netherlands Antilles,North America,Caribbean,800,NULL,217000,74.7,1941,NULL,Nederlandse Antillen,Nonmetropolitan Territory of The Netherlands,33
ARE,United Arab Emirates,Asia,Middle East,83600,1971,2441000,74.1,37966,36846,Al-Imarat al-´Arabiya al-Muttahida,Emirate Fe
Employee_ID Computer_OS Computer_OS_version Computer_tickets Mobile_OS Mobile_OS_version Mobile_tickets
EID_18343 Windows 8 1 Android 9 0
EID_4861 Windows 7 2 Android 8 0
EID_16936 Windows 10 3 Android 10 0
EID_16384 Windows 10 1 Android 7 1
EID_10666 Windows 7 7 Android 10 4
EID_4059 Windows 10 0 Android 9 0
EID_11496 MacOS High Sierra 1 iOS 13 0
EID_11781 Windows 7 0 Android 8 0
EID_24552 Windows 10 0 0
We can't make this file beautiful and searchable because it's too large.
Employee_ID,Gender,Age,Education_Level,Relationship_Status,Hometown,Unit,Decision_skill_possess,Time_of_service,Time_since_promotion,growth_rate,Travel_Rate,Post_Level,Pay_Scale,Compensation_and_Benefits,Work_Life_balance,VAR1,VAR2,VAR3,VAR4,VAR5,VAR6,VAR7,Attrition_rate
EID_23371,F,42.0,4,Married,Franklin,IT,Conceptual,4.0,4,33,1,1,7.0,type2,3.0,4,0.7516,1.8688,2.0,4,5,3,0.1841
EID_18000,M,24.0,3,Single,Springfield,Logistics,Analytical,5.0,4,36,0,3,6.0,type2,4.0,3,-0.9612,-0.4537,2.0,3,5,3,0.067
EID_3891,F,58.0,3,Married,Clinton,Quality,Conceptual,27.0,3,51,0,2,8.0,type2,1.0,4,-0.9612,-0.4537,3.0,3,8,3,0.0851
EID_17492,F,26.0,3,Single,Lebanon,Human Resource Management,Behavioral,4.0,3,56,1,3,8.0,type2,1.0,3,-1.8176,-0.4537,,3,7,3,0.0668
EID_22534,F,31.0,1,Married,Springfield,Logistics,Conceptual,5.0,4,62,1,3,2.0,type3,3.0,1,0.7516,-0.4537,2.0,2,8,2,0.1827
EID_2278,M,54.0,3,Married,Lebanon,Purchasing,Conceptual,19.0,1,21,2,5,9.0,type2,1.0,3,-1.8176,1.8688,2.0,2,8,3,0.7613
EID_18588,F,21.0,4,Married,Springfiel
Employee_ID Computer_OS Computer_OS_version Computer_tickets Mobile_OS Mobile_OS_version Mobile_tickets
EID_19108 Windows 10 2 Android 8 0
EID_13997 Windows 10 12 Android 10 1
EID_10789 MacOS Catalina 0 iOS 12 0
EID_1833 Windows 10 9 Android 7 0
EID_8825 Windows 8 3 Android 9 2
EID_15641 MacOS Catalina 0 iOS 11 0
EID_6090 MacOS High Sierra 0 iOS 13 0
EID_25331 Windows 10 0 Android 8 0
EID_19424 MacOS Mojave 0 iOS 13 1
We can make this file beautiful and searchable if this error is corrected: It looks like row 9 should actually have 23 columns, instead of 5 in line 8.
Employee_ID,Gender,Age,Education_Level,Relationship_Status,Hometown,Unit,Decision_skill_possess,Time_of_service,Time_since_promotion,growth_rate,Travel_Rate,Post_Level,Pay_Scale,Compensation_and_Benefits,Work_Life_balance,VAR1,VAR2,VAR3,VAR4,VAR5,VAR6,VAR7
EID_22713,F,32.0,5,Single,Springfield,R&D,Conceptual,7.0,4,30,1,5,4.0,type2,1.0,3,-0.9612,-0.4537,2.0,1,8,4
EID_9658,M,65.0,2,Single,Lebanon,IT,Directive,41.0,2,72,1,1,1.0,type2,1.0,4,-0.9612,0.7075,1.0,2,8,2
EID_22203,M,52.0,3,Married,Springfield,Sales,Directive,21.0,3,25,0,1,8.0,type3,1.0,4,-0.1048,0.7075,2.0,1,9,3
EID_7652,M,50.0,5,Single,Washington,Marketing,Analytical,11.0,4,28,1,1,2.0,type0,4.0,3,-0.1048,0.7075,2.0,2,8,3
EID_6516,F,44.0,3,Married,Franklin,R&D,Conceptual,12.0,4,47,1,3,2.0,type2,4.0,4,1.6081,0.7075,2.0,2,7,4
EID_20283,F,22.0,4,Married,Franklin,IT,Behavioral,3.0,1,53,0,3,6.0,type2,1.0,3,,-0.4537,2.0,3,8,3
EID_21014,M,42.0,3,Married,Washington,Purchasing,Analytical,6.0,4,35,1,3,4.0,type2,1.0,3,0.7516,1.8688,2.0,3,7,3
EID_7693,F,41.0,2,Mar