ULCA DataFest2020: COVID-19 Data Analysis

Exploring the relation between the pandemic and air quality

This is the public repository for UCLA DataFest 2020.

Author: Kaixin Wang (Team R++)

There are two main sections in this repository:

• Datasets: containing the downloaded datasets as well as the IPython notebook for preprocessing the PM2.5 datasets.
• Main: containing the main.ipynb, which contains the main analysis of the project.

Updated May 2020 by Kaixin Wang.