abrehamashebir/solar-challenge-week1

solar-challenge-week1: understanding, exploring, and analyzing solar farm data found in Benin, Sierra Leone, and Togo ## SOLAR-CHALLENGE-WEEK1 A solar radiation monitoring and analysis system for three solar radiation sites, leveraging data understanding, data analysis and visualization to choose the right solar radiation site exposure . The project processes environmental and temporal radiation data to provide actionable insights for solar precision farming. ### Development Environment Setup ### Project Structure ``` bash solar-challenge-week1 ├── app │ ├── __init__.py │ ├── main.py │ └── utils.py ├── data │ ├── benin_clean.csv │ ├── sierraleone_clean.csv │ └── togo_clean.csv ├── datasets │ └── combined.csv ├── figures ├── LICENSE ├── notebooks │ ├── bennin_eda.ipynb │ ├── compare_countries.ipynb │ ├── __init__ py │ ├── sierraleone.ipynb │ └── togo_eda.ipynb ├── README.md ├── requirements.txt ├── scripts │ └── __init__.py ├── src │ └── __init__.py └── tests └── __init__.py ``` ### Prerequisites - Python 3.8+ - Git ### 1. Clone the Repository ```bash git clone github.com cd solar-challenge-week1 ``` ### 2. Set Up Virtual Environment For Linux/macOS ```bash python -m venv venv source venv/bin/activate ``` For Windows ```bash python -m venv venv .\venv\Scripts\activate ``` ### 3. Install Python Dependencies ```bash pip install --upgrade pip pip install -r requirements.txt ``` ### 1. To run streamlit app ```bash cd /app streamlit run main.py ```