meronteklehaymanotgebru/climate-challenge-week0

🌍 Climate Challenge Week 0 - 10 Academy AI Mastery | African Climate Trend Analysis for COP32 | Exploratory data analysis of temperature, precipitation, and extreme weather patterns across Ethiopia, Kenya, Sudan, Tanzania, and Nigeria (2015-2026) | NASA POWER satellite data | Evidence-backed climate insights for Ethiopia's COP32 position paper # 🌍 African Climate Trend Analysis for COP32 ## 10 Academy - Artificial Intelligence Mastery | Week 0 Challenge ### 📊 Project Overview This repository contains exploratory climate data analysis for five African nations (Ethiopia, Kenya, Sudan, Tanzania, and Nigeria) using NASA POWER satellite-derived measurements from 2015-2026. The analysis supports EthioClimate Analytics in preparing evidence-backed insights for Ethiopia's hosting of COP32 in Addis Ababa (2027). ### 🎯 Business Objective Position Ethiopia as a credible, data-informed host for COP32 by surfacing key climate trends, seasonal patterns, and anomalies that amplify Africa's voice in global climate negotiations. ### 📈 Key Findings - Comprehensive climate vulnerability ranking across 5 African nations - Temperature anomaly analysis against 1991-2020 baseline - Extreme event frequency assessment (heatwaves, droughts, floods) - Cross-country precipitation variability comparison - Actionable policy recommendations for COP32 negotiations ### 🛠️ Technical Stack - **Language:** Python 3.10+ - **Data Processing:** Pandas, NumPy - **Visualization:** Matplotlib, Seaborn, Plotly - **Dashboard:** Streamlit - **CI/CD:** GitHub Actions - **Version Control:** Git with Conventional Commits ### 📁 Repository Structure ``` climate-challenge-week0/ ├── .github/workflows/ │ └── ci.yml # CI pipeline configuration ├── notebooks/ │ ├── ethiopia_eda.ipynb # Ethiopia EDA │ ├── kenya_eda.ipynb # Kenya EDA │ ├── sudan_eda.ipynb # Sudan EDA │ ├── tanzania_eda.ipynb # Tanzania EDA │ ├── nigeria_eda.ipynb # Nigeria EDA │ └── compare_countries.ipynb # Cross-country comparison ├── app/ │ ├── main.py # Streamlit dashboard │ └── utils.py # Helper functions ├── scripts/ │ └── data_loader.py # Data loading utilities ├── tests/ │ └── test_data_quality.py # Unit tests ├── requirements.txt ├── .gitignore └── README.md ``` ### 🚀 Quick Start #### 1. Clone the Repository ```bash git clone github.com …