IBM Employee Attrition: HR Analytics Data on Employee Retention

IBM Employee Attrition Data contains HR analytics metrics for employees who stay and leave. The dataset includes features such as education level, job satisfaction, and commute distance. It was sourced from Kaggle and is available under the Open Database License.

Use Cases

• Predict employee attrition risk based on job satisfaction and commute distance.
• Analyze the relationship between education level and employee retention.
• Build HR dashboards to monitor workforce stability using the provided analytics metrics.

Strengths

• Includes specific HR metrics like education level and job satisfaction.
• Sourced from a known platform (Kaggle) and linked to an IBM GitHub repository.

Limitations

• Row count and dataset 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, via IBM's GitHub repository (employee-attrition-aif360).

Collection Method

Supplied for a code pattern; likely gathered from an internal or synthetic HR source.