Ruhama-Beshada/solar-challenge-week0

Data analysis and strategic insights on solar farm measurements from Benin, Sierra Leone, and Togo---part of the 10 Academy Week 0 Challenge. # 🌞 Solar Challenge Week 0 — Environment Setup & EDA Preparation ## 📘 Project Overview This repository contains the setup and exploratory data analysis (EDA) workflow for the **Solar Challenge Week 0**. The goal is to profile, clean, and explore solar datasets from **Benin (Malanville)**, **Togo (Dapaong)**, and **Sierra Leone (Bumbuna)** to prepare clean and comparable datasets for later analysis. --- ## ⚙️ Environment Setup ### 1. Clone the Repository bash git clone github.com cd solar-challenge-week0 # Create a virtual environment python -m venv venv # Activate environment # On Windows venv\Scripts\activate # On macOS/Linux source venv/bin/activate # instal Dependencies pip install -r requirements.txt # Repository Structure solar-challenge-week0/ │ ├── .github/workflows/ # CI/CD workflows for testing │ └── unittests.yml │ ├── notebooks/ # Jupyter notebooks for EDA │ ├── __init__.py │ ├── README.md │ ├── benin_eda.ipynb │ ├── togo_eda.ipynb │ └── sierra_leone_eda.ipynb │ ├── src/ # Source scripts and helpers │ ├── __init__.py │ └── utils.py │ ├── tests/ # Unit tests for validation │ └── __init__.py │ ├── data/ # (Git-ignored) raw & cleaned datasets │ └── *.csv │ ├── requirements.txt # Python dependencies ├── .gitignore # Files/folders excluded from Git ├── README.md # Project documentation └── interim_report.md # Week 0 interim report # Task 2 ## Data Analysis Workflow ## Task 2.1 — Data Loading & Inspection Load raw CSV files for Benin, Sierra Leone, and Togo. Inspect column types, missing values, and initial statistics. ## Task 2.2 — Country-Level EDA & Cleaning Cleaning: Impute missing values with median, remove outliers using Z-score threshold. ## Visualizations: Line plots: Solar irradiance (GHI, DNI, DHI) vs. Timestamp …