India Air Quality Analysis

Abstract

1. Introduction

India has made it to the headlines when it comes to air pollution. The growing air pollution in the country has been one of the major concerns for both the government and the citizens.

Many actions have been taken by the government to control polution, but still the problem stands.

Air pollution is a major problem and should not be ignored. Most of the population is not even aware of the colossal harm caused by the air they breathe everyday.

2. Objective

The air quality data of various states in India is analyzed.

This project demonstrates how Python can be applied to a real-world Data Science problem.

4. Technology Stack

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

• Python 3.8 or later
• pip / virtualenv for dependencies
• VS Code, PyCharm or Jupyter Notebook
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/ShubhankarRawat/India---Air-Quality-Analysis.git
cd India---Air-Quality-Analysis

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

• Turn the analysis into an interactive dashboard
• Automate data refresh with a scheduled job
• Add a predictive model on top of the analysis

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

1. What is the source of the dataset and how was missing data handled?
2. Which exploratory analysis steps revealed the most useful insight?
3. Why were these particular charts chosen to present the data?
4. Which statistical or ML technique supports the conclusions?
5. How could the analysis be automated or refreshed with new data?

9. Source Code & License

This project is developed by ShubhankarRawat and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.