IBM Employee Attrition: HR Analytics Data on Employee Retention

A dataset of employee records from IBM, sourced from Kaggle and available via GitHub. It contains metrics on employee retention, including education level, job satisfaction, and commute distance. The dataset is licensed under the Open Database License (ODbL-1.0).

Use Cases

• Predict employee attrition risk based on job satisfaction metrics mentioned in the description.
• Analyze the relationship between commute distance and employee retention.
• Model the impact of education level on career longevity within the company.

Strengths

• Includes specific HR metrics such as education level, job satisfaction, and commute distance.
• Sourced from a known corporate entity (IBM) and a major data science platform (Kaggle).
• Available under a clear open license (ODbL-1.0).

Limitations

• Row count and file size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Kaggle, originally from IBM's GitHub repository (employee-attrition-aif360).

Collection Method

Supplied by Kaggle; likely collected from internal HR systems.