📊 GitHub Developer Analytics Dashboard

🚀 Overview

This project is an interactive GitHub Developer Analytics Dashboard built using Power BI. It analyzes repository performance, developer contributions, and project health to provide meaningful insights into open-source activity.

The dashboard is designed with a multi-page, app-like interface including navigation, tooltips, and dynamic filtering, making it similar to real-world industry dashboards.

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🎯 Objectives

• Analyze repository popularity using stars and forks
• Track development activity using issues and pull requests
• Identify high-performing and under-maintained repositories
• Provide interactive insights for better decision-making

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📊 Features

🔹 Overview Page

• KPI Cards (Stars, Forks, Issues, Contributions)
• Language Distribution (Donut Chart)
• Stars vs Forks (Scatter Plot)

🔹 Analysis Page

• Issues vs Pull Requests
• Productivity Score (custom metric using DAX)
• Contributions by Language

🔹 Details Page

• Top Repositories (dynamic ranking)
• Repository Health Status (Healthy vs Needs Attention)

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🧠 Advanced Features

• ✅ Multi-page navigation (app-like experience)
• ✅ Tooltip page (hover-based detailed insights)
• ✅ Drill-down functionality (Language → Repository)
• ✅ Dynamic title (changes based on filters)
• ✅ Smart insight card (auto-detects issues in repos)
• ✅ Custom DAX measures (Productivity Score, Ranking)
• ✅ Interactive slicers (filters across all pages)

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🛠️ Tools & Technologies

• Power BI Desktop
• DAX (Data Analysis Expressions)
• Data Cleaning using Power Query

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📸 Screenshots

Overview

Chart Analysis

Graph

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🔍 Key Insights

• High-star repositories tend to have higher fork counts
• Some repositories show high issues but low pull requests → indicating low maintenance
• Popular languages dominate contribution activity
• Productivity score helps identify efficient repositories

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📌 How to Use

1. Download the .pbix file
2. Open in Power BI Desktop
3. Interact using filters and navigation buttons
4. Explore insights across multiple pages

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💡 Future Improvements

• Integration with GitHub API for real-time data
• Adding predictive analytics (ML models)
• Enhanced UI/UX with custom themes

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🤝 Contributing

Feel free to fork this repository and improve the dashboard or add new features.

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📬 Contact

If you have any feedback or suggestions, feel free to connect!

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⭐ If you like this project, consider giving it a star!