Interactive Case Study: Predict Employee Attrition

This dashboard demonstrates a predictive model trained on synthetic HR data. Use the dropdown to filter by department. Points are colored by overtime status and sized by monthly income.

*OverTime indicates whether an employee works overtime. Marker size represents monthly income.

*Importance values are derived from a logistic regression model (absolute coefficients).

Key Insight: Employees with frequent overtime and low job satisfaction have the highest attrition risk. Focusing on work-life balance initiatives could reduce turnover.