MrEngineerET/solar-challenge-week1

Cross-country solar farm analysis for MoonLight Energy Solutions, analyzing environmental measurement data from Benin, Sierra Leone, and Togo to identify high-potential regions for solar installation. # Solar Data Discovery ## Overview Cross-country solar farm analysis for MoonLight Energy Solutions, analyzing environmental measurement data from Benin, Sierra Leone, and Togo to identify high-potential regions for solar installation. ## Business Objective Perform quick analysis of environmental measurements and translate observations into a strategy report focusing on identifying key trends and valuable insights that support data-driven recommendations for solar investments aligned with long-term sustainability goals. ## Dataset The data includes measurements for: - Solar radiation (GHI, DNI, DHI) - Temperature and humidity - Wind conditions - Sensor readings (ModA, ModB) - Cleaning events ## Setup ### Environment ```bash # Create and activate virtual environment python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate # Install dependencies pip install -r requirements.txt ``` ## Project Structure ``` ├── data/ # Solar radiation datasets ├── notebooks/ # Jupyter notebooks for analysis ├── tests/ # Unit tests └── requirements.txt # Python dependencies ```