HR Analytics Dataset

Tasks to Perform:

Data Cleaning:

• Remove irrelevant columns
• Rename columns for clarity
• Eliminate duplicates
• Clean specific columns
• Address missing values
• Apply relevant data transformations

Data Visualization Insights:

• Correlation heatmap of numeric variables
• Analysis of Overtime, Marital Status, Job Role, Gender, Education Field, and Department
• Investigate Business Travel and its relationship to employee turnover
• Explore how Overtime impacts Age
• Visualize relationships between Total Working Years, Education Level, Number of Companies Worked, and Distance from Home
• Perform deeper analysis on work-life balance and its impact on job satisfaction

Additional Considerations:

• Incorporate advanced visualizations like box plots and time series analysis for employee tenure.
• Introduce machine learning models like decision trees or logistic regression to predict attrition based on historical data.

This dataset is ideal for organizations seeking to improve employee retention and build a data-driven HR strategy.