About This Repository

This is the repository for a COVID-19 dashboard that has been deployed as a Shiny App. The code is written in R, and has been developed with the intent of providing the codebase for anybody who wants to make interactive dashboards that allow a user to select the countries and dates to observe the trends in COVID-19 cases. The dashboard uses data compiled by Johns Hopkins University for their COVID-19 Dashboard.

Folders in this Repository

The following is a brief description of the main folders in this repository

(P.S. apologies for the subpar documentation for this repo, I will be improving and expanding on it over the next few days).

NOTE -

I have updated the code base so that it doesnt use the scripts folder anymore. To download the data, in the dashboard.rmd file, uncomment the following command: devtools::install_github("ottoman91/covid19") . This will install the covid19 package from my github repo(I have submitted this package to CRAN and will update the code base once it gets approved). The covid19 package provides a cleaner tidy tibble of the JHU data.

• scripts : This folder contains the R scripts that download the data and store it as an RDS object. I am no longer using these files, and am instead using the covid19 package that I wrote for downloading the data(refer to instructions above).

• eda - This folder contains the time_series_analysis.rmd file, which contains a few animated visualizations of the trends in cases over time. It also contains the dashboad.rmd file, which has been knitted and deployed on a shiny app. Folks interested in running the dashboard on their local machine can knit this file in Rstudio and deploy it locally.

Acknowledgements

This code base builds up on the amazing work that is being done by the following:

• Johns Hopkins University

• Our World in Data