tasnem-tech/global-air-quality-analysis

Real WHO air pollution data analysis: PM2.5 exposure across 87 countries, 2010–2019. Reveals 80.5% of countries still exceed WHO guidelines, China's 19% improvement, and a widening gap with Sub-Saharan Africa. Built with pandas, Matplotlib, and Jupyter. # 🌫️ Global Air Quality ### A Decade of PM2.5 Exposure Data Analysis (2010–2019) --- ## 📌 Project Overview This project analyzes nearly a **decade of real fine particulate matter (PM2.5) exposure data** for **87 countries**, sourced from the **World Health Organization's Global Health Observatory** via Our World in Data. It tracks who has the cleanest and dirtiest air on the planet, whether global air quality is improving or worsening, and which countries have made the most measurable progress — or regression — between **2010 and 2019**. > **The goal:** turn a real public-health dataset into a clear, honest, and visually engaging story about global air pollution — including the parts of the story that aren't encouraging. --- ## 🎯 What This Project Explores ``` Raw WHO Data ↓ Data Validation & Cleaning ↓ Country & Regional Ranking ↓ Decade-over-Decade Trend Analysis ↓ WHO Guideline Compliance Check ↓ Professional Data Visualisations ↓ Insight Communication ``` The project demonstrates: * 🧹 Real-world data cleaning and validation * 🌍 Cross-country comparative analysis * 📈 Time-series trend analysis * 🚦 Threshold / compliance analysis * 📊 Data visualisation * 🔍 Regional pattern investigation * 📝 Clear, honest communication of findings — including caveats --- # 📊 Key Findings | Metric | Result | | :-------------------------------------- | -------------------------------: | | 🌍 World Avg. PM2.5 — 2010 | **35.3 µg/m³** | | 🌍 World Avg. PM2.5 — 2019 | **31.7 µg/m³** | | 🚨 Most Polluted Country (2019) | **Kuwait — 64.1 µg/m³** | | ✅ Least Polluted Country (2019) | **Bahamas — 5.2 µg/m³** | | ⚠️ Countries Above WHO Guideline | **80.5%** | | 📉 Biggest Improvement | **China — −9.0 µg/m³ (−19%)** | | 📈 Biggest Worsening | **Angola …