ricaim16/african-climate-trend-analysis

# African Climate Trend Analysis This repository contains my interim project work for **B9W0: African Climate Trend Analysis**. It is designed to analyze long-term climate patterns across African countries using tabular climate data. ## Project Goal The goal of this project is to: - study temperature and rainfall trends across African countries - compare changes over time - generate summary tables and charts that support climate trend interpretation ## Repository Structure ```text african-climate-analysis/ ├── data/ │ ├── raw/ # Place your original dataset here │ └── processed/ # Generated summary files ├── outputs/ │ └── figures/ # Generated charts ├── reports/ │ └── interim_summary.md # Short write-up template ├── src/ │ └── climate_analysis.py # Main analysis script ├── .gitignore ├── README.md └── requirements.txt ``` ## Expected Dataset Format Add your dataset to `data/raw/` as a CSV file. The script expects these columns: - `country` - `year` - `temperature_c` - `rainfall_mm` Optional column: - `region` Example: ```csv country,year,temperature_c,rainfall_mm,region Kenya,2000,23.1,845.0,East Africa Kenya,2001,23.4,821.2,East Africa Ghana,2000,27.8,1182.5,West Africa ``` An example file is already included at `data/raw/example_climate_data.csv` so you can test the project immediately. Replace it or add your real dataset before final submission. ## Setup 1. Create or activate your virtual environment. 2. Install dependencies: ```bash pip install -r requirements.txt ``` ## Run The Analysis ### Simple Project Command If you want a short command similar to `npm run dev`, use: ```bash make run ``` That will use the default example dataset. You can also pass your own file: ```bash make run INPUT=data/raw/your_file_name.csv ``` ### Direct Python Command If your file is named `african_climate_data.csv`: ```bash python src/climate_analysis.py --input data/raw/african_climate_data.csv ``` You can al …