hermiMAB/African-Climate-Trend-Analysis

African Climate Trend Analysis (2015-2026) for EthioClimate Analytics and COP32 preparations. Week 0 project for 10 Academy AI Mastery. # COP32 African Climate Data Analysis (Week 0) ## Project Overview This project explores daily climate data for five African countries: **Ethiopia, Kenya, Nigeria, Sudan, and Tanzania**. The goal is to analyze temperature, rainfall, wind, and humidity patterns from 2015 to 2026 to help understand regional climate trends for the upcoming COP32 climate conference. ## Folder Structure * `data/`: Contains the raw and cleaned `.csv` data files. *(Note: CSV files are ignored by git to save space).* * `notebooks/`: Contains the Jupyter Notebooks for each country's Exploratory Data Analysis (EDA). * `src/`: (If applicable) Contains reusable Python scripts. * `README.md`: Project documentation. * `.gitignore`: Ensures large data files are not pushed to GitHub. ## Data Cleaning & Outlier Strategy We used data from the **NASA POWER** database. During the cleaning process: 1. **Missing Values:** NASA uses `-999.00` to mark missing data. We successfully found and replaced these with `NaN` (blank) values to keep our math accurate. 2. **Outliers (Z-Score):** We used a Z-score check to find extreme weather days. We discovered rare, massive rainstorms (like a 166mm drop in Nigeria) and extreme temperature swings. 3. **Decision:** We chose to **keep** all extreme weather outliers because they represent real, critical climate events (like tropical storms and desert flash floods) that are important for the COP32 report. ## Exploratory Data Analysis (EDA) Highlights For each of the five countries, we created four main visual reports: 1. **Temperature Timeline (Line Chart):** Shows the yearly wave of hot and cold seasons over 11 years. 2. **Rainfall Patterns (Bar Chart):** Identifies the peak rainy seasons and dry months for each region. 3. **Variable Links (Heatmap & Scatter Plots):** Shows how heat, humidity, and wind affect each other. 4. **Climate Recipe (Bubble Chart):** Combines temperature, humidity, and rain size into one chart to show exactly what weather mix creates a hea …