Alki45/solar-data-discovery-Week0

Week 0 challenge submission for 10 Academy’s AI Mastery Program. Exploratory analysis and insights on solar radiation datasets from Benin, Sierra Leone, and Togo to support sustainable solar energy planning. # 🌞 Solar Data Discovery – Week 0 Challenge This repository contains my Week 0 challenge submission for the Artificial Intelligence Mastery Program by **10 Academy**. The challenge focuses on analyzing solar energy data from Benin, Sierra Leone, and Togo to uncover insights for sustainable solar energy development. --- ## 🧠 Objective To provide preliminary insights into solar power potential and environmental impacts through: - Data cleaning and profiling - Exploratory data analysis (EDA) - Comparative analytics between countries --- ## 📂 Dataset Overview Each CSV file contains time-series environmental and solar measurement data: - Global, Direct, and Diffuse Irradiance (W/m²) - Temperature (module and ambient) - Wind speed and barometric pressure - Cleaning events (impact analysis) --- ## ✅ Tasks Completed - [x] Data loading and cleaning - [x] Country-wise EDA (Benin, Sierra Leone, Togo) - [] Cross-country comparison --- ## 🛠️ Tools & Libraries - Python - Pandas, NumPy - Matplotlib, Seaborn - Jupyter Notebooks - Git & GitHub --- ## 🗓️ Submission Details - 📅 Challenge Duration: **15–22 May 2025** - 🧪 Submitted as part of Week 0 of 10 Academy’s AI Mastery Program --- ## 👨‍🎓 Author **ALi Kibret** AI Mastery Learner, 10 Academy – May 2025 Cohort --- ## 📜 License This project is licensed under the MIT License – see the LICENSE file for details.