Name: IBM Employee Dataset
Creator: Kaggle
License: https://www.gnu.org/licenses/gpl.html

About this Dataset

IBM Employee Dataset

Context

Watson Analytics Sample Data

Uncover the factors that lead to employee attrition and explore important questions such as ‘show me a breakdown of distance from home by job role and attrition’ or ‘compare average monthly income by education and attrition’. This is a fictional data set created by IBM data scientists

Content

This the data about the employee on various factor influencing the attrition from the company.
Predict the Attrition of an employee based on the various factor given

Acknowledgements

IBM Blog on employee attrition

Inspiration

Predict the Attrition of an employee based on the various factor given

About Dataset

Education

'Below College'
'College'
'Bachelor'
'Master'
'Doctor'

EnvironmentSatisfaction

'Low'
'Medium'
'High'
'Very High'

JobInvolvement

'Low'
'Medium'
'High'
'Very High'

JobSatisfaction

'Low'
'Medium'
'High'
'Very High'

PerformanceRating

'Low'
'Good'
'Excellent'
'Outstanding'

RelationshipSatisfaction

'Low'
'Medium'
'High'
'Very High'

WorkLifeBalance

'Bad'
'Good'
'Better'
'Best'

Tables

Test

@kaggle.rohitsahoo_employee.test

39.53 kB
412 rows
34 columns

CREATE TABLE test (
  "age" BIGINT,
  "businesstravel" VARCHAR,
  "dailyrate" BIGINT,
  "department" VARCHAR,
  "distancefromhome" BIGINT,
  "education" BIGINT,
  "educationfield" VARCHAR,
  "employeecount" BIGINT,
  "employeenumber" BIGINT,
  "environmentsatisfaction" BIGINT,
  "gender" VARCHAR,
  "hourlyrate" BIGINT,
  "jobinvolvement" BIGINT,
  "joblevel" BIGINT,
  "jobrole" VARCHAR,
  "jobsatisfaction" BIGINT,
  "maritalstatus" VARCHAR,
  "monthlyincome" BIGINT,
  "monthlyrate" BIGINT,
  "numcompaniesworked" BIGINT,
  "over18" VARCHAR,
  "overtime" VARCHAR,
  "percentsalaryhike" BIGINT,
  "performancerating" BIGINT,
  "relationshipsatisfaction" BIGINT,
  "standardhours" BIGINT,
  "stockoptionlevel" BIGINT,
  "totalworkingyears" BIGINT,
  "trainingtimeslastyear" BIGINT,
  "worklifebalance" BIGINT,
  "yearsatcompany" BIGINT,
  "yearsincurrentrole" BIGINT,
  "yearssincelastpromotion" BIGINT,
  "yearswithcurrmanager" BIGINT
);

Train

@kaggle.rohitsahoo_employee.train

60.6 kB
1,058 rows
35 columns

CREATE TABLE train (
  "age" BIGINT,
  "attrition" BIGINT,
  "businesstravel" VARCHAR,
  "dailyrate" BIGINT,
  "department" VARCHAR,
  "distancefromhome" BIGINT,
  "education" BIGINT,
  "educationfield" VARCHAR,
  "employeecount" BIGINT,
  "employeenumber" BIGINT,
  "environmentsatisfaction" BIGINT,
  "gender" VARCHAR,
  "hourlyrate" BIGINT,
  "jobinvolvement" BIGINT,
  "joblevel" BIGINT,
  "jobrole" VARCHAR,
  "jobsatisfaction" BIGINT,
  "maritalstatus" VARCHAR,
  "monthlyincome" BIGINT,
  "monthlyrate" BIGINT,
  "numcompaniesworked" BIGINT,
  "over18" VARCHAR,
  "overtime" VARCHAR,
  "percentsalaryhike" BIGINT,
  "performancerating" BIGINT,
  "relationshipsatisfaction" BIGINT,
  "standardhours" BIGINT,
  "stockoptionlevel" BIGINT,
  "totalworkingyears" BIGINT,
  "trainingtimeslastyear" BIGINT,
  "worklifebalance" BIGINT,
  "yearsatcompany" BIGINT,
  "yearsincurrentrole" BIGINT,
  "yearssincelastpromotion" BIGINT,
  "yearswithcurrmanager" BIGINT
);