https://github.com/yeshunit/hr-analytics-on-attrition
This project aims to analyze employee attrition using Power BI to provide HR insights into the factors contributing to employees leaving the company. The analysis includes data cleaning, visualization, and dashboard creation to display key metrics and trends. By understanding these factors, HR can implement strategies to improve employee retention.
https://github.com/yeshunit/hr-analytics-on-attrition
Last synced: 3 months ago
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This project aims to analyze employee attrition using Power BI to provide HR insights into the factors contributing to employees leaving the company. The analysis includes data cleaning, visualization, and dashboard creation to display key metrics and trends. By understanding these factors, HR can implement strategies to improve employee retention.
- Host: GitHub
- URL: https://github.com/yeshunit/hr-analytics-on-attrition
- Owner: Yeshunit
- Created: 2024-07-31T08:00:19.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-09-16T07:38:34.000Z (almost 2 years ago)
- Last Synced: 2025-03-05T01:41:58.282Z (over 1 year ago)
- Homepage:
- Size: 525 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
**Features**:
- **Data Cleaning**: Processed raw data from a CSV file to ensure accuracy and consistency.
- **Dashboard**: Created an interactive dashboard in Power BI to visualize attrition data.
- **Key Metrics**: Displayed critical factors influencing attrition, such as:
- **Attrition by Education**: Analyzed the impact of different education levels on attrition rates.
- **Attrition by Age**: Identified trends in attrition across various age groups.
- **Attrition by Job Role**: Examined which job roles have higher attrition rates.
- **Attrition by Salary Slab**: Investigated the relationship between salary ranges and attrition.
- **Attrition by Years at Company**: Analyzed how tenure at the company affects attrition.
- **Attrition by Department**: Compared attrition rates across different departments.
- **Insights**: Provided actionable insights to HR for improving employee retention strategies.
**Technologies Used**:
- **Power BI**: For data visualization and dashboard creation.
- **CSV**: For data storage and initial data handling.
**How to Use**:
1. **Download** the project files.
2. **Open** the Power BI file (.pbix) to view the dashboard.
3. **Explore** the various charts and insights provided.
**Conclusion**:
This project highlights the importance of understanding employee attrition and provides a comprehensive tool for HR departments to identify and address key issues affecting employee retention. By leveraging the insights from this analysis, companies can create more effective strategies to retain their valuable employees and reduce turnover rates.
**Future Work**:
- Incorporate additional data sources for a more comprehensive analysis.
- Develop predictive models to forecast attrition based on various factors.
- Continuously update the dashboard with new data to monitor trends over time.
**Contributions**:
Contributions are welcome! If you have any suggestions or improvements, feel free to create a pull request or open an issue.
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