COVID-19 Data Analysis in R

Overview

This project analyzes U.S. COVID-19 time series data from the Johns Hopkins University Center for Systems Science and Engineering (CSSE) to better understand the factors contributing to COVID-19 deaths. It also incorporates vaccination data from the GovEx repository to enhance predictive modeling.

As of March 10, 2023, the Johns Hopkins Coronavirus Resource Center ceased collection and reporting of global COVID-19 data, making this analysis a retrospective look at pandemic trends.

Goals

• Explore trends in COVID-19 cases and deaths across U.S. states.
• Build linear regression models to understand the relationship between case counts and mortality.
• Incorporate vaccination data to assess its impact on COVID-19 outcomes.
• Identify bias and limitations in the available data.

Data Sources

• COVID-19 Time Series (Cases & Deaths)
  Source: Johns Hopkins CSSE GitHub

• Vaccination Data
  Source: GovEx GitHub

How to Run the Analysis

1. Clone the repository (or download the project folder):

   git clone https://github.com/redswimmer/covid-data-analysis.git

2. Open RStudio and load the project folder.

3. Install required packages (if not already installed):

   install.packages(c(
     "lubridate",
     "corrplot",
     "tidyverse"
   ))

4. Run the R Markdown file.