Air Quality Analysis Workflows

Abstract

1. Introduction

Repo for the Fall 2021 Senior Design Group.

2. Objective

Repo for the Fall 2021 Senior Design Group.

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/mi3nts/AirQualityAnalysisWorkflows.git
cd AirQualityAnalysisWorkflows

1. Navigate to /influxdb. Copy .example.env to .env and edit the file with appropriate paths for your machine and desired settings. Contact John Waczak or Lakitha Wijeratne to obtain the necessary credentials files.
2. Build the container via docker compose up --build. If you want the container to remain on in the background, instead run docker compose up --build -d.
3. To turn of the containers, run docker compose down

podman container ls
podman stop 3398e22269ba
podman rm 3398e22269ba
podman stop 45364f8f8a64
podman rm 45364f8f8a64
podman-compose up --build -d

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 mi3nts 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.