To analyze attrition effectively, focus on these common data categories: Age, Gender, Marital Status.

Attrition datasets are usually imbalanced (more people stay than leave). Use techniques like SMOTE (Synthetic Minority Over-sampling Technique) to balance the classes. Algorithm Selection: Logistic Regression: Good for baseline interpretability.

Job Role, Department, Job Level, Business Travel frequency.

Years at Company, Years in Current Role, Performance Rating, Training Times Last Year.