IBM Employee Attrition Data with Education and Job Satisfaction Metrics

IBM employee attrition data sourced from Kaggle contains HR analytics data of employees that stay and leave. Metrics likely include education level, job satisfaction, and commute distance. The dataset was obtained from IBM's AI Fairness 360 repository and is available under the Open Dataset License and the Database Content License.

Use Cases

• Predict employee attrition based on job satisfaction metrics mentioned in the description
• Analyze correlations between commute distance and employee retention
• Model workforce demographics using education level data

Strengths

• Dataset originates from IBM's AI Fairness 360 repository, suggesting a focus on ethical AI applications
• Description mentions specific HR metrics like education level, job satisfaction, and commute distance

Limitations

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

Provenance

Source

Kaggle, via IBM's employee-attrition-aif360 GitHub repository