Data Science Projects & Visualizations
Explore data visualizations from real-world datasets and analysis projects using Python
Air Quality Index Analysis
Explore Air Quality Index (AQI) patterns across cities using pollutants data having CO, PM10, NH3, SO2 through Python-based data analysis and visualizations.
Station Location Analysis
Visual analysis of pollutant concentration trends across multiple monitoring stations to understand real-time air quality levels and city-wise pollution patterns.
Distribution Analysis
Box plot visualizing pollutant concentration distributions across cities — identifying outliers and spread.
Top 10 Most Polluted Cities
City-wise AQI bar plot highlighting the most polluted urban areas based on average AQI values.
Key Insights
Major Pollutants
PM10 and CO identified as key contributors to poor air quality across cities.
High AQI Zones
Top 10 cities recorded AQI levels above national safe limits, indicating critical pollution.