Dataset: IBM HR Employee Attrition Analysis

About this Dataset

IBM HR Employee Attrition Analysis

This project explores and analyzes employee attrition using IBM HR Analytics Employee Attrition & Performance dataset. The goal is to uncover patterns, identify key factors contributing to attrition, and insights related to employee turnover through visualization and statistical techniques using Python (for Data Exploration, Preprocessing, and Analyzing) and Power BI (for Interactive Report and Visual Storytelling).

Employee attrition is a critical concern for organizations, impacting productivity and morale. By analyzing historical HR data, we aim to identify key factors contributing to employee departures, enabling proactive retention strategies.

Tables

Ibm Hr Employee Attrition Data

@kaggle.nibeditasahu_ibm_hr_employee_attrition_analysis.ibm_hr_employee_attrition_data

71.25 KB
1470 rows
35 columns


CREATE TABLE ibm_hr_employee_attrition_data (
  "age" BIGINT,
  "attrition" VARCHAR,
  "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
);