QMSS-G5063-2022 / Group_A_COVID-19_insights

QMSS G5063 - Data Visualization (Spring 2022) - Group A (COVID-19 insights)
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Group A (COVID-19 insights)

Final Project for QMSS G5063 - Data Visualization (Spring 2022)

Project Topic: Effects of COVID-19 on the working population in the U.S.

Webpage deployed by Shiny R

Project Proposal

Process Book

Project Group Presentation Video

Project Introduction

The COVID-19 pandemic has reshaped the U.S. job market more than any other event since at least the Great Recession of 2007-09, and the financial panic that followed. As the COVID-19 pandemic brought the economy to a sudden halt, the number of layoffs have increased sharply compared to the pre-COVID times. Most non-essential workers had to adapt from making their home their workplace, and this obviated the commute to and from work daily for a significant portion of the US population. Using the labor statistics data, movement range maps data, and tweets, we aim to explore how the COVID-19 has affected the working population of the United States. We address this question by examining the state trends in unemployment rate, differences in daily movement patterns of the population, and changes in wage and working hours in different industries. The data we collected are from the U.S. Bureau of Labor Statistics, Meta's Data for Good, and Twitter.

US Bureau of Labour Statistics

Twitter developer API

Data For Good at Meta

Group members:

Han, Shauna: shh2145@columbia.edu

Law, Toby: kl3343@columbia.edu

Li, Wenyi: wl2770@columbia.edu

Wang, Yu: yw3760@columbia.edu

Instructions to run this app locally:

NOTE: Some visualizations take a bit longer to run and generate! Please be patient :)