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17 1
72 1
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@Jatapiaro
Jatapiaro / list_of_words.txt
Last active June 4, 2026 20:02
list_of_words.txt
appel, af_NA
boom, af_NA
water, af_NA
lug, af_NA
son, af_NA
appel, af_ZA
boom, af_ZA
water, af_ZA
lug, af_ZA
son, af_ZA
ticker name
NVAX Novavax
SIRI Sirius XM
QQQ Invesco QQQ
AAPL Apple
MSFT Microsoft
FB Facebook
MU Micron
NVDA NVIDIA
INTC Intel
file class
image_0001.jpg 0
image_0002.jpg 0
image_0003.jpg 0
image_0004.jpg 0
image_0005.jpg 0
image_0006.jpg 0
image_0007.jpg 0
image_0008.jpg 0
image_0009.jpg 0
class name
0 daffodil
1 snowdrop
2 lilyvalley
3 bluebell
4 crocus
5 iris
6 tigerlily
7 tulip
8 fritillary
image_0001.jpg
image_0002.jpg
image_0003.jpg
image_0004.jpg
image_0005.jpg
image_0006.jpg
image_0007.jpg
image_0008.jpg
image_0009.jpg
image_0010.jpg
Date Month Day DayWeek WeekDay Hour CO NO NO2 NOX O3 PM10 PM2.5 PRS RAINF RH SR TOUT WSR WDV
01-ene-15 1 1 jue 5 1 2.51 10.2 12.9 23.1 10 139 80 725.4 0.01 96 0 3.91 7.2 344
01-ene-15 1 1 jue 5 2 2.41 9.2 11.6 20.8 7 42 29 725 0.02 96 0 3.81 6.3 341
01-ene-15 1 1 jue 5 3 2.39 8.1 11.8 19.9 7 23 9 724.4 0 96 0 3.85 5.2 346
01-ene-15 1 1 jue 5 5 2.26 5.3 8.9 14.2 7 23 14 724 0.01 96 0 3.79 5.6 336
01-ene-15 1 1 jue 5 8 2.25 7.2 10.2 17.4 5 15 8 724.3 0 96 0.023 3.93 4.8 354
01-ene-15 1 1 jue 5 9 2.21 5.8 8.2 14 7 16 6 724.3 0 96 0.052 4.13 4.2 15
01-ene-15 1 1 jue 5 12 2.38 10 10.1 20.1 10 22 17 722.6 0 96 0.127 6.6 3.2 29
01-ene-15 1 1 jue 5 13 2.51 11.5 12.3 23.8 12 32 16 721.7 0 95 0.15 6.89 4.8 2
01-ene-15 1 1 jue 5 14 2.55 12 13.5 25.5 14 31 19 721 0 94 0.175 7.43 4.6 47
We can make this file beautiful and searchable if this error is corrected: It looks like row 5 should actually have 35 columns, instead of 8 in line 4.
Age,Attrition,BusinessTravel,DailyRate,Department,DistanceFromHome,Education,EducationField,EmployeeCount,EmployeeNumber,EnvironmentSatisfaction,Gender,HourlyRate,JobInvolvement,JobLevel,JobRole,JobSatisfaction,MaritalStatus,MonthlyIncome,MonthlyRate,NumCompaniesWorked,Over18,OverTime,PercentSalaryHike,PerformanceRating,RelationshipSatisfaction,StandardHours,StockOptionLevel,TotalWorkingYears,TrainingTimesLastYear,WorkLifeBalance,YearsAtCompany,YearsInCurrentRole,YearsSinceLastPromotion,YearsWithCurrManager
41,Yes,Travel_Rarely,1102,Sales,1,2,Life Sciences,1,1,2,Female,94,3,2,Sales Executive,4,Single,5993,19479,8,Y,Yes,11,3,1,80,0,8,0,1,6,4,0,5
49,No,Travel_Frequently,279,Research & Development,8,1,Life Sciences,1,2,3,Male,61,2,2,Research Scientist,2,Married,5130,24907,1,Y,No,23,4,4,80,1,10,3,3,10,7,1,7
37,Yes,Travel_Rarely,1373,Research & Development,2,2,Other,1,4,4,Male,92,2,1,Laboratory Technician,3,Single,2090,2396,6,Y,Yes,15,3,2,80,0,7,3,3,0,0,0,0
33,No,Travel_Frequently,1392,Research & Development,3,4,L
We can't make this file beautiful and searchable because it's too large.
Age,Education_Level,Time_of_service,Time_since_promotion,growth_rate,Travel_Rate,Post_Level,Pay_Scale,Work_Life_balance,VAR1,VAR2,VAR3,VAR4,VAR5,VAR6,VAR7,Compensation_and_Benefits_type2,Compensation_and_Benefits_type3,Decision_skill_possess_Behavioral,Decision_skill_possess_Conceptual,Decision_skill_possess_Directive,Gender_M,Hometown_Franklin,Hometown_Lebanon,Hometown_Springfield,Hometown_Washington,Relationship_Status_Single,Unit_IT,Unit_Logistics,Unit_Operations,Unit_Purchasing,Unit_R&D,Unit_Sales,Unit_Support_Units,Attrition_rate
42,4,4,4,33,1,1,7,3,4,0,1.8688,2,4,5,3,1,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0.1841
24,3,5,4,36,0,3,6,4,3,0,-0.4537,2,3,5,3,1,0,0,0,0,1,0,0,1,0,1,0,1,0,0,0,0,0,0.067
58,3,27,3,51,0,2,8,1,4,0,-0.4537,3,3,8,3,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0.0851
26,3,4,3,56,1,3,8,1,3,-1,-0.4537,2,3,7,3,1,0,1,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0.0668
31,1,5,4,62,1,3,2,3,1,0,-0.4537,2,2,8,2,0,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0.1827
54,3,19,1,21,2,5,9,1,3,-1,1.8688,2,2,8,3,1,0,0,1,0,1,0,1,0,0,0,0,0,0
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