An analysis of overtime and attrition

Introduction

I’m working with data from an HR department provided by a company. The data records information about the company’s employees and their survey results. Each row is an employee, and each column describes something about the employee or specific survey.

Research Question

The statement I posed was, “Employees who work overtime are more likely to experience attrition.” Employee attrition is when a company’s workforce decreases over time due to employees leaving and not being replaced. I wanted to see if there was a relationship between employees who work overtime and their rate of attrition.

Process to Create Visualization

Select the “Over_Time” and “Attrition” columns with “Over_Time” as the x and use “Attrition” as the fill to make a stacked bar chart.

Analysis

The hypothesis appears to be justified by the data. The proportion of employees who left the company (Attrition = “Yes”) is higher than those who worked overtime compared to those who did not. Since the employees who did not work overtime had lower attrition rates, this suggests that employees working regular hours have better work-life balance and lower turnovers rates.