🌍🚀 Wikipedia Edits Analysis 📊🔥

Wikipedia Edits Analysis 🌐💡 is an advanced data-driven project designed to analyze and visualize Wikipedia edit patterns across different languages. It provides insights into the role of geography in online content creation and access. 📈✨

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🚀 Table of Contents

• 🔍 Overview
• 🎯 Features
• 📊 Data Sources
• 🛠 Technologies Used
• ⚙️ Installation & Setup
• 🚀 Usage
• 📈 Visualizations & Insights
• 🔮 Future Enhancements
• 🤝 Contributing
• 📜 License
• 📬 Contact

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🔍 Overview

Wikipedia is one of the most edited online resources, with users contributing across different regions and languages. This project explores:

• 🌎 Geographical distribution of Wikipedia edits
• 📆 Time-based edit patterns
• 🗣️ Language-wise edit analysis
• 📊 Interactive visualizations for better understanding

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🎯 Features

• 📌 Analyze Wikipedia edits across different languages
• 🗺️ Geospatial visualization of edit patterns
• 📅 Time series analysis of Wikipedia edit trends
• 📊 Interactive charts and graphs for insights
• 🔥 Data pre-processing and transformation for efficient analysis

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📊 Data Sources

This project leverages:

• 🌐 Wikipedia’s public API for retrieving edit histories
• 📂 Open datasets on global Wikipedia contributions
• 🏆 Python libraries for processing and analyzing edits

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🛠 Technologies Used

• 🐍 Python - Core programming language
• 🗃 Pandas & NumPy - Data processing and analysis
• 📈 Matplotlib & Seaborn - Data visualization
• 🌍 Geopandas & Folium - Mapping and spatial analysis
• 🔗 Wikipedia API - Extracting edit history

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⚙️ Installation & Setup

Follow these steps to set up the project:

1. 📥 Clone the Repository:

   git clone https://github.com/pranjaykumar926/Wikipedia-Edits-Analysis.git
   cd Wikipedia-Edits-Analysis

2. 📦 Create a Virtual Environment (Optional but Recommended):

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. ⚡ Install Dependencies:

   pip install -r requirements.txt

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🚀 Usage

1. ▶️ Run the Analysis Script:

   python analyze_edits.py

2. 📊 View Visualizations: The generated charts and graphs will be saved in the output/ directory.

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📈 Visualizations & Insights

Check out some interactive insights:

🌎 Geographical Distribution of Edits 🕒 Time-Based Trends in Wikipedia Edits 📊 Most Edited Wikipedia Pages by Language

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🔮 Future Enhancements

• 🌟 Enhanced NLP Processing for Content Analysis
• 📡 Live Dashboard for Real-Time Wikipedia Edits
• 📊 More Interactive and Animated Visualizations
• 📌 Machine Learning-Based Anomaly Detection in Edits

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🤝 Contributing

💡 Contributions are welcome! To contribute:

1. Fork the repository
2. Create a new branch (feature/your-feature)
3. Commit your changes
4. Open a pull request 🚀

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📜 License

This project is currently not licensed. Contact the repository owner for permissions.

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📬 Contact

For inquiries or collaborations, reach out:

• GitHub: pranjaykumar926 🏗️
• 📧 Email: pranjaykumar926@gmail.com 📩

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✨ Uncovering the hidden trends in Wikipedia edits, one dataset at a time! 🌍🚀