https://github.com/visvav/hr-analytics-dashboard

https://github.com/visvav/hr-analytics-dashboard

Last synced: 4 months ago
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• Host: GitHub
• URL: https://github.com/visvav/hr-analytics-dashboard
• Owner: VisvaV
• Created: 2025-07-11T16:18:14.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2025-08-08T09:15:11.000Z (10 months ago)
• Last Synced: 2025-08-08T11:23:57.978Z (10 months ago)
• Size: 281 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# HR Analytics Dashboard (Power BI)

This project presents a **comprehensive and interactive HR Analytics Dashboard** built using **Power BI**, leveraging the `HRDataset_v14` dataset. The dashboard helps analyze employee attrition, department-wise distribution, salary trends, and hiring sources — enabling **data-driven decision-making** for HR professionals.

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## Dashboard Highlights

- **Total Headcount**: 135 employees  

- **Total Salary Paid**: ₹70.63K  

- **Total Attritions**: 44 employees  

- **Attrition Rate**: 32.59%  

- **Average Age**: 46.29 years  

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## Dataset Overview

**Dataset Used**: `HRDataset_v14`  

**Key Attributes**:

- `EmployeeID`

- `Department`

- `Position`

- `EmpStatus`

- `Gender`

- `DateofHire`

- `RecruitmentSource`

- `Salary`

- `Age`

- `Attrition`

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## Key Visuals

- **Headcount by Department**  

- **Headcount by Age Bucket & Marital Status with Gender**  

- **Attrition Trends by Date of Hire**  

- **Recruitment Source Analysis**  

- **Cumulative Hiring Curve**  

- **Attrition by Time Series**

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## Filters & Interactivity

The dashboard includes **interactive slicers** to drill down into the data:

- Department  

- Position  

- Employment Status  

- State  

- Gender  

These filters allow for customized, slice-and-dice analysis.

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## Insights Derived

-  **Production** has the highest headcount.  

-  **Age group 26–35** dominates the workforce.  

-  Majority of employees are **married males**.  

-  Most hiring happens via **LinkedIn and Indeed**.  

-  Hiring has steadily increased since **2010**, with some **attrition spikes** around certain years.  

These findings can guide **recruitment strategies**, **retention plans**, and **future workforce planning**.

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## Tools & Technologies Used

- **Power BI Desktop**

- **DAX Measures** & Calculated Fields  

- **Custom Visuals**

- **Color-Themed UI for Clean Layout**

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## How to Use

1. Clone or download this repo  

2. Open `HR-Analytics-Dashboard.pbix` in Power BI Desktop  

3. Ensure `HRDataset_v14.xlsx` is placed in the same directory  

4. Refresh the data → Explore the visuals and insights

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## Future Enhancements

- **Attrition Forecasting** with ML models  

- **Employee Sentiment Analysis** if satisfaction data is added  

- Integration with **Python/R scripts** in Power BI  

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