{"id":15717751,"url":"https://github.com/uznetdev/global-statistics-dashboard","last_synced_at":"2025-05-13T00:45:57.913Z","repository":{"id":249200271,"uuid":"830752392","full_name":"UznetDev/Global-Statistics-Dashboard","owner":"UznetDev","description":"The Global Statistics Dashboard is a comprehensive tool designed to provide insights into various global statistics. 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This project includes data processing scripts, a web application interface, and modular components for loading and visualizing data.\n\n## Table of Contents\n\n- [Installation](#installation)\n- [Usage](#usage)\n- [Project Structure](#project-structure)\n- [Libraries Used](#libraries-used)\n- [License](#license)\n- [Contributing](#contributing)\n\n## \u003ci\u003eInstallation\u003c/i\u003e\n\n1. Clone the repository:\n   ```sh\n   git clone https://github.com/UznetDev/Global-Internet-users.git\n   ```\n2. Navigate to the project directory:\n   ```sh\n   cd Global-Internet-users\n   ```\n3. Create a virtual environment:\n   ```sh\n   python -m venv env\n   ```\n4. Activate the virtual environment:\n   - On Windows:\n     ```sh\n     env\\Scripts\\activate\n     ```\n   - On macOS and Linux:\n     ```sh\n     source env/bin/activate\n     ```\n5. Install the necessary libraries:\n   ```sh\n   pip install -r requirements.txt\n   ```\n## Usage\n\nTo run the dashboard, use the following command:\n```bash\nstreamlit run 🏠_Home.py\n```\n\nThis will start the application, and you can view it in your web browser by navigating to `http://localhost:5000` (or the specified port).\n\n## Project Structure\n\n- `.gitignore`: Specifies files and directories to be ignored by git.\n- `build_data.ipynb`: Jupyter Notebook for building, cleaning and processing the dataset.\n- `dataset/`: Directory containing the dataset files used for the dashboard.\n- `function.py`: Contains functions used across the project.\n- `🏠_Home.py`: The main script to run the web application.\n- `loader.py`: Script responsible for loading data into the application.\n- `pages/`: Directory containing the different pages of the web application.\n    - **1_🗺️Map.py**: This module contains the code for displaying a global map with various statistical overlays. It visualizes geographical data and provides interactive map features.\n    - **2_ 📊Statistics_by_country.py**: This module provides statistical data breakdowns by country. Users can select a country and view detailed statistics relevant to that country.\n    - **3_🎯_Future_Product.py**: This module is designed for future product implementations. It serves as a placeholder for features that are planned for future releases.\n    - **__init__.py**: This file indicates that the `pages` directory is a Python package.\n\n\n### Detailed Breakdown\n\n- **.gitignore**: Configuration file to specify untracked files that Git should ignore.\n- **build_data.ipynb**: Jupyter Notebook for data preprocessing. This includes steps to clean, transform, and prepare data for visualization.\n- **dataset/**: This folder holds raw and processed data files necessary for generating statistics.\n- **function.py**: This module contains reusable functions that are utilized in various parts of the project to ensure modularity and code reuse.\n- **🏠_Home.py**: The entry point for the web application. Running this script launches the dashboard.\n- **loader.py**: Handles data loading operations. This script ensures that the data from the `dataset` directory is correctly loaded and ready for use in the application.\n- **pages/**: Contains different page modules for the web application. Each page is a separate component/module that can be accessed through the dashboard interface.\n\n## Libraries Used\n\nThe following libraries are used in this project:\n\n- **pandas**: For data manipulation and analysis.\n- **numpy**: For numerical operations.\n- **plotly**: For creating interactive visualizations.\n- **streamlit**: For building the web application.\n- **Matplotlib**: For making Dashboard.\n- **jupyter**: For interactive computing and developing the `build_data.ipynb` notebook.\n\nThese libraries are listed in the `requirements.txt` file and can be installed using the installation instructions provided above.\n\n## License\n\nThis project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.\n\n## Contributing\n\nContributions are welcome! Please fork the repository and submit a pull request for any changes.\n\n1. **Fork the Repository**:\n    Click on the `Fork` button at the top right corner of this page to create a copy of this repository under your GitHub account.\n\n2. **Clone the Forked Repository**:\n    ```bash\n    git clone https://github.com/YOUR_USERNAME/Global-Statistics-Dashboard.git\n    cd Global-Statistics-Dashboard\n    ```\n\n3. **Create a New Branch**:\n    ```bash\n    git checkout -b feature/YourFeatureName\n    ```\n\n4. **Commit Your Changes**:\n    ```bash\n    git add .\n    git commit -m 'Add some feature'\n    ```\n\n5. **Push to the Branch**:\n    ```bash\n    git push origin feature/YourFeatureName\n    ```\n\n6. **Create a Pull Request**:\n    Open a pull request to the original repository.\n\n## \u003ci\u003eContact\u003c/i\u003e\n\nIf you have any questions or suggestions, please contact:\n- Email: uznetdev@example.com\n- GitHub Issues: [Issues section](https://github.com/UznetDev/Global-Statistics-Dashboard/issues)\n- GitHub Profile: [UznetDev](https://github.com/UznetDev/)\n- Telegram: [UZNet_Dev](https://t.me/UZNet_Dev)\n- Linkedin: [Abdurahmon Niyozaliev](https://www.linkedin.com/in/abdurakhmon-niyozaliyev-%F0%9F%87%B5%F0%9F%87%B8-66545222a/)\n\n\n### \u003ci\u003eThank you for your interest in the project!\u003c/i\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fuznetdev%2Fglobal-statistics-dashboard","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fuznetdev%2Fglobal-statistics-dashboard","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fuznetdev%2Fglobal-statistics-dashboard/lists"}