About

The IBM Employee Attrition and Performance dataset was synthesized by data scientists at IBM and contains variables related to income, demographics (age, gender, education, marital status), years worked, job satisfaction, job performance and attrition (whether or not an employee has left IBM). Learners will identify ways to predict if an employee will leave based on the employee’s characteristics.

Data

`hr.csv`

hr

Download hr.csv

Data Dictionary
variable	description
employee_number	Employee ID
age	Age
attrition	Has the employee left the company? (No, Yes)
business_travel	How often does the employee travel for their job? (Non-Travel, Travel_Frequently, Travel_Rarely)
department	Department within the company (HR, R&D, Sales)
distance_from_home	Distance from work to home (miles)
education	Level of education (No college, Some college, Bachelors, Masters, Doctorate)
education_field	Field of education (Human Resources, Life Sciences, Marketing, Medical, Other, Technical Degree)
environment_satisfaction	Level of satisfaction with working environment (Low, Medium, High, Very High)
gender	Gender (Female, Male)
job_involvement	Level of job involvement (Low, Medium, High, Very High)
job_role	Job role (Healthcare Representative, Human Resources, Laboratory Technician, Manager, Manufacturing Director, Research Director, Research Scientist, Sales Executive, Sales Representative)
job_satisfaction	Level of job satisfaction (Low, Medium, High, Very High)
marital_status	Martial atatus (Divorced, Married, Single)
monthly_income	Monthly income (USD)
num_companies_worked	Number of companies at which employee has previously worked
over_time	Does employee work overtime? (No, Yes)
percent_salary_hike	Percentage increase in salary since joining the company
performance_rating	Performance rating (Low, Good, Excellent, Outstanding)
relationship_satisfaction	Level of relationship satisfaction with coworkers (Low, Medium, High, Very High)
training_times_last_year	Number of hours employee has spent in mandatory training in the last year
work_life_balance	Level of work-life balance (Bad, Good, Better, Best)

`years.csv`

years

Download years.csv

Data Dictionary
variable	description
employee_number	Employee ID
total_working_years	Total years worked
years_at_company	Number of years at company
years_in_current_role	Number of years in current role
years_since_last_promotion	Number of years since last promotion
years_with_curr_manager	Number of years spent with current manager