Poverty and COVID-19

MIDS W203: Introduction to Statistics for Data Science | Spring 2021 | Final Project

Authors: Toby Petty, Tilman Bayer, Kieran Berton, Ruilan Liu

Introduction

This repo contains my group's final project for the Introduction to Statistics for Data Science class (W203) in UC Berkeley's Masters in Data Science program, from the Spring 2021 semester.

Description

Using data from the New York Times' Coronavirus (COVID-19) Data in the United States and from the United States Census' American Community Survey, our report investigates the relationship between the poverty levels of a state and the impacts of the Coronavirus pandemic, using data from early 2020.

View the final report detailing the full methodology, regressions, and results: here.