Environmental Data Dashboard A Python-based application that fetches, caches, and displays environmental data from public APIs on an interactive dashboard. This project is designed to provide real-time insights into key environmental metrics like water quality and air pollution. 🚀 Features Real-Time Data: Fetches up-to-the-minute data from the USGS Water Services API. API Caching: Implements a local file cache to reduce redundant API calls, speeding up development and data loading. Interactive Visualizations: (Planned) Will use libraries like Plotly and Dash to create interactive charts and maps. Data Analysis: (Planned) Will incorporate Pandas for data manipulation and analysis. Extensible: Designed to be easily extended with new data sources (e.g., EPA AirNow). 🛠️ Installation & Setup Follow these steps to get the project running on your local machine.

1. Clone the Repository: git clone https://github.com/YOUR_USERNAME/environmental-dashboard.git cd environmental-dashboard

2. Create a Virtual Environment (Recommended):

For Windows

python -m venv venv .\venv\Scripts\activate

For macOS/Linux

python3 -m venv venv source venv/bin/activate

3. Install Dependencies: The required Python libraries are listed in requirements.txt. pip install -r requirements.txt

⚙️ Usage To run the main script and fetch the data, execute the following command in your terminal: python main.py

The first time you run the script, it will fetch data from the API and create a local cache file (e.g., usgs_data.json). Subsequent runs will load data directly from this cache. 📊 Data Sources This dashboard currently utilizes the following public APIs: USGS Water Services API: Provides real-time and historical data on water resources across the United States. 🤝 Contributing Contributions are welcome! If you have ideas for new features, data sources, or improvements, please follow these steps: Fork the repository. Create a new branch (git checkout -b feature/your-feature-name). Make your changes and commit them (git commit -m 'Add some amazing feature'). Push to the branch (git push origin feature/your-feature-name). Open a Pull Request. 📄 License This project is licensed under the MIT License - see the LICENSE.md file for details.