Airborne is a data analysis tool for studying potential relationships between the COVID- 19 pandemic and air quality in the US. Using case data from The COVID Tracking Project and particulate matter (PM2.5) readings from OpenAQ, Airborne visualizes and evaluates associations between a US state's new daily cases and air quality in its most polluted city.
11 states are currently supported with data spanning a time frame of March 1st to June 30th, 2020.
Airborne is written in Python 3, so make sure to have a version of it installed! Airborne also relies on the following Python packages:
You can install these packages via pip using the following command:
pip install pandas plotly scipy
- Download the repository as a ZIP file and extract it to your desired location.
- Open a terminal window and navigate to the unzipped Airborne directory.
- Run the following command:
python3 airborne.py - Use the GUI to download and analyze data.
- Visualizations will open in your web browser.
- Regression analysis results are stored in
results.txt. - API data is stored in
airborne_database.db.You may use a program like DB Browser for SQLite to view the data.