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📊 HR Analytics Dashboard

A Tableau dashboard that analyzes employee attrition trends by department, gender, age, and job satisfaction. This project helps HR teams understand workforce turnover and make data-driven decisions to improve retention.

📌 Live Demo: View on Tableau Public


🧰 Tools & Technologies

  • Tableau Desktop
  • Canva (for background design)
  • Sample HR CSV data (public dataset)

💡 Key Features

  • KPI Cards: Attrition Rate, Total Employees, Average Age
  • Interactive charts by Department, Gender, and Age
  • Job Satisfaction breakdown
  • Clean, professional dashboard layout with custom background

🔄 Workflow / Steps Followed

  1. Data Cleaning

    • Used pre-cleaned HR dataset with fields like Age, Department, Gender, Job Satisfaction, etc.
  2. Design Planning

    • Created dashboard layout in Canva (1280x720 resolution)
    • Chose color scheme and icon placement
  3. Tableau Dashboard Build

    • Set fixed dashboard size (1280 x 720)
    • Added background image as floating layout
    • Placed KPI cards and visualizations using Layout pane (X/Y/W/H)
    • Added hover tooltips and filters for interactivity
  4. Publishing

    • Uploaded final dashboard to Tableau Public
    • Tested for responsiveness and layout integrity

🖼️ Preview

![Dashboard Preview](Screenshot 2025-07-06 165855 )


📁 Repository Structure

HR-Analytics-Dashboard/ ├── Dashboard.twbx # Tableau packaged workbook ├── README.md # Project documentation ├── images/ # Screenshots and preview ├── data/ # Dataset (CSV) └── assets/ # Background image and design files


📌 How to Use

  • Hover over charts for more detail
  • Use department/gender filters to drill down
  • View KPIs at the top for quick summary insights

👤 Author

Created by [Bishakha Kapur] — Data Analyst | Tableau Developer
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📄 License

This project is open for educational use. Attribution appreciated.

About

This project presents an interactive Tableau dashboard that analyzes employee attrition trends across various dimensions such as department, gender, age, and job satisfaction. The goal is to help HR teams identify patterns in workforce turnover and support data-driven decision-making to improve employee retention.

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