Pollution Analysis using India
This project analyzes real-world air pollution data using Python. It focuses on understanding pollutant trends, identifying seasonal patterns, and detecting anomalies to derive meaningful environmental insights.
- 🧹 Clean and preprocess raw pollution data
- 📊 Visualize pollutant levels (e.g., PM2.5, NO₂, SO₂) over time
- 🧭 Analyze trends and peak pollution periods
- 🕵️ Detect anomalies and irregularities in air quality
- 📝 Generate insights for environmental awareness and decision-making
| Tool | Description |
|---|---|
| 🐍 Python | Core programming language |
| 📦 Pandas | Data manipulation and cleaning |
| 📈 Matplotlib | Static data visualization |
| 🧮 NumPy | Numerical operations |
| 📊 Seaborn | Statistical data visualization |
✅ Outcomes Extracted and cleaned air pollution data
Visualized temporal and spatial trends of pollutants
Gained actionable insights on pollution patterns
Built a reusable Python pipeline for environmental data analysis
🙌 Contributions Contributions, issues, and suggestions are welcome! Let's work together for a cleaner planet 🌱