https://github.com/data-edd/hr-analytics-dashboard
https://github.com/data-edd/hr-analytics-dashboard
Last synced: 5 months ago
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- Host: GitHub
- URL: https://github.com/data-edd/hr-analytics-dashboard
- Owner: data-edd
- Created: 2025-01-18T13:12:10.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-09T17:51:46.000Z (over 1 year ago)
- Last Synced: 2025-02-09T18:35:24.515Z (over 1 year ago)
- Size: 2.19 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# HR Analytics Power BI Project
## Description
This project analyzes HR data to uncover trends related to employee performance, attrition, and workforce demographics using Power BI. The objective is to provide actionable insights for HR decision-making.
## Dataset Information
- **Source:** Internal HR database
- **Structure:** Excel / CSV
- **Key Attributes:**
- Employee ID: Unique identifier for each employee
- Age: Employee age
- Department: Employee department
- Salary: Employee salary details
- Attrition: Whether the employee left the company
- Job Satisfaction: Employee satisfaction score
- Performance Rating: Employee performance evaluation
## Installation & Requirements
To set up the environment, ensure you have the following dependencies installed:
### Required Tools:
- Power BI Desktop
- Data source connections (Excel, CSV)
## Usage
To run the analysis, follow these steps:
1. Clone the repository:
```bash
git clone https://github.com/data-edd/hr-analytics-dashboard.git
```
2. Open the `HR_ANALYTICS-DASHBOARD.pbix` file in Power BI Desktop.
3. Refresh the dataset to load the latest data.
4. Explore the HR dashboards and reports.
## Methodology
This project follows a structured analytical approach:
1. **Data Import & Transformation:** Cleaning, handling missing values, and transforming data using Power Query.
2. **Exploratory Data Analysis (EDA):** Identifying trends, correlations, and attrition patterns.
3. **Data Modeling:** Creating relationships and DAX measures for HR metrics.
4. **Visualization:** Presenting insights through Power BI dashboards.
## Results & Insights
Key findings from the analysis include:
- **Attrition Trends:** High turnover in specific departments.
- **Performance vs. Job Satisfaction:** Correlation between satisfaction and performance ratings.
- **Salary Disparities:** Insights into salary differences across roles and departments.
## Contributions
Contributions are welcome! Please follow these steps:
1. Fork the repository.
2. Create a new branch (`feature-branch-name`).
3. Commit your changes and push to the branch.
4. Submit a pull request.
For any inquiries, feel free to open an issue or contact [mr.armstrongedward@gmail.com].