WariaraM/CO2-Emissions-Africa-Data-Pipeline

End-to-end data pipeline project analyzing CO₂ emissions across African countries using Python, SQL, and data ethics principles. # CO₂ Emissions in Africa – Full Data Pipeline Project 🌍 This project involves designing a complete data pipeline to ingest, clean, store, and analyze CO₂ emissions data from various African countries over time. The pipeline demonstrates each stage of the data life cycle and delivers insights into key emission trends, regional disparities, and policy implications. --- ## 📌 Objectives - Apply the full data life cycle from ingestion to analysis - Develop Python scripts for data cleaning and transformation - Store and model data using a relational database (e.g. SQLite or MySQL) - Analyze trends and patterns in emissions data (2000–2020) - Reflect on data ethics, quality, and transparency in environmental datasets --- ## 🛠 Tools & Technologies - Python (Pandas, NumPy) - SQL (SQLite) - Jupyter Notebook - Data Visualization (Matplotlib, Seaborn) - Data Transformation (MinMaxScaler) - CSV file: `co2 Emission Africa.csv` --- ## 📈 Key Insights - A small number of countries (like South Africa and Nigeria) have **disproportionately high emissions**, while most African countries have **low carbon footprints**. - **Total CO₂ emissions increased steadily** from 2000 to 2019, with a dip in 2020 likely due to COVID-19. - **South Africa** leads in emissions from **energy, electricity, manufacturing**, and **industry**. - **GDP does not correlate strongly** with per-person emissions across the continent. - Emissions drivers vary by country: **energy use** (South Africa), **land use change** (Nigeria). --- ## 🎯 Recommendations - **Target emissions reduction efforts in South Africa and Nigeria** for the highest impact. - Invest in **renewable energy infrastructure** (solar, wind, hydro) in Southern Africa. - Address **land use emissions** in Nigeria with **reforestation and agroforestry** policies. - Support **open-data and monitoring systems** to improve emission tracking and transparency across Africa. --- ## 📂 Project Structure CO2-Emissions-Africa-Data-Pipeline/ │ …