ET-SPARK/solar-challenge-week0

This data analysis project focuses on evaluating the solar energy potential in three West African countries — Benin, Sierra Leone, and Togo. The full report is available at the link below. # ☀️ Solar Challenge - Week 0 Welcome to the **Solar Challenge - Week 0** repository! This project is designed to help you get started with Python-based **solar data analysis**, **interactive dashboards**, and **automation using CI/CD workflows**. --- ## 🚀 Quick Setup Get started with the project on your local machine: ```bash # Clone the repository git clone github.com # Navigate into the project directory cd solar-challenge-week0 # Create and activate a virtual environment python3 -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate # Install dependencies pip install -r requirements.txt ``` --- ## 📊 Streamlit Dashboard We’ve built an interactive dashboard using Streamlit to explore and visualize solar data in a user-friendly web interface. ### ▶️ Run the dashboard locally ```bash streamlit run app/main.py ``` This will launch the app in your default browser. ### 🖼 Dashboard Screenshots Preview what the dashboard looks like! Screenshots are available in the `dashboard_screenshots` branch. **Highlights include:** - Solar output over time (line charts, bar graphs) - Wind direction visualizations (windrose plots) - Summary stats and regional comparisons --- ## 🗂 Project Structure ```bash solar-challenge-week0/ ├── .vscode/ # Editor settings │ └── settings.json ├── .github/ # GitHub Actions workflows │ └── workflows/ │ └── ci.yml ├── app/ # Streamlit dashboard application │ └── main.py ├── src/ # Source code (e.g., utils, processing) ├── notebooks/ # Jupyter notebooks for exploration │ ├── __init__.py │ └── README.md ├── scripts/ # Helper scripts │ ├── __init__.py │ └── README.md ├── tests/ # Unit tests │ └── __init__.py ├── requirements.txt # Python dependencies ├── .gitignore # Ignored files └── README.md # Project overview ( …