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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# GitHub Repo Metadata Analytics\n\nThis project performs data analysis on GitHub repository metadata using Python and libraries such as **pandas**, **matplotlib**, and **DuckDB**.\n\n## 📊 Overview\n\nThe goal of this analysis is to understand trends and patterns across open-source repositories, including:\n- Distribution of stars, forks, and issues\n- Popular programming languages\n- Relationship between activity indicators (commits, pull requests) and repository popularity\n\n## 🧪 Hypothesis Testing\n\n- **H₀ (Null Hypothesis):** Repository popularity (stars) is independent of activity indicators (commits, forks, pull requests).  \n- **H₁ (Alternative Hypothesis):** Repository popularity is influenced by these activity indicators.\n\nStatistical tests such as correlation and scatter plots were used to test this relationship.\n\n## 🛠️ Tools and Libraries\n\n- **Python 3.11**\n- **pandas**, **matplotlib**, **seaborn**, **scipy**\n- **DuckDB** for querying Parquet data\n- **Jupyter Notebook** for analysis and visualization\n\n## 🚀 How to Run\n\n1. Clone this repository:\n   ```bash\n   git clone https://github.com/syedabareehaali/GitHub-Repo-Metadata-Analytics.git\nOpen the notebook in Jupyter:\n\n2. Open the notebook in Jupyter: jupyter notebook\n\n3. Run all cells in order.\n\n## 🏷️ Hacktoberfest 2025\n\nThis repository is part of Hacktoberfest 2025.\nContributions are welcome — you can improve documentation, enhance analysis, or suggest visualizations!\n\n## 👩‍💻 Author\n\nSyeda Bareeha Ali\nMERN Stack Developer \u0026 Data Enthusiast\n📧 sbareeha19@mail.com\n🌐 https://github.com/syedabareehaali","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsyedabareehaali%2Fgithub-repo-metadata-analytics","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsyedabareehaali%2Fgithub-repo-metadata-analytics","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsyedabareehaali%2Fgithub-repo-metadata-analytics/lists"}