Air Quality Analysis In Lima

Abstract

1. Introduction

The Lima Air Quality project is designed to collect, process, store, and analyze air quality data in Lima, Peru. By leveraging AWS cloud services, the system ensures scalability, reliability, and real-time monitoring.

2. Objective

The Air Quality Analysis in Lima project aims to collect, analyze and visualize air quality data in the city of Lima, Peru. We will use API to obtain real-time data from https://waqi.info/

This project demonstrates how Python, AWS, AWS Lambda 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/haroldeustaquio/air-quality-analysis-in-lima.git
cd air-quality-analysis-in-lima

pip install -r requirements.txt

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 haroldeustaquio 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.