MYGBM/solar-challenge-week0

Data profiling and Exploratory Data Analysis for the solar radiation measurement Data for Beni, Sierraleone and Togo # Solar Challenge — Week 0 Data profiling and exploratory data analysis (EDA) for solar radiation measurement data collected for Benin, Sierra Leone, and Togo. This repository contains the environment setup, data organization, notebooks, and supporting code used during Week 0 of the Solar Radiation Measurement Project. --- Table of contents - Project overview - What's included - Folder structure - Environment setup - How to run the notebooks - Data handling notes - Testing - CI / GitHub Actions - Contributing - License - Contact --- Project overview This project contains early-stage work to profile and explore solar radiation measurement datasets for three countries (Benin, Sierra Leone, and Togo). The focus in Week 0 was on setting up a reproducible development environment (Conda + requirements.txt), organizing raw and processed data, and producing EDA notebooks that summarize data quality, distributions, missingness, and basic time-series characteristics. What's included - A modular folder layout with clear separation of raw and processed data for each country. - Jupyter notebooks with EDA for each country. - A requirements.txt to reproduce the environment. - A GitHub Actions CI workflow that validates the environment and installs dependencies on pushes/PRs. Folder structure Environment setup (Task 1 — Git & Environment Setup) To ensure reproducible environments, a dedicated Conda environment was used and all dependencies are pinned in requirements.txt. 1. Create and activate the Conda environment (recommended) - conda create -n solar-challenge-week0 python=3.12 -y - conda activate solar-challenge-week0 2. Install dependencies - pip install -r requirements.txt (If you prefer an environment.yml, you can generate one from your conda environment: - conda env export --name solar-challenge-week0 --file environment.yml ) Running notebooks - Launch JupyterLab or Jupyter Notebook from the repo root: - jupyter lab - or - jupyter notebook - Open the notebook …