It Consists of an interactive web-based application developped using R and Shiny .
It tracks daily covid situation developement including :
- New case
- Recovered
- Death
- Vaccination information
I track covid situtations on daily basis , sometimes even hourly . And one day I thought, I am a data scientist and can have access live public data, why not providing a useful solution .
The application relies fully on Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) data, available in the following link : https://data.humdata.org/dataset/novel-coronavirus-2019-ncov-cases
The dashboard diplays a bunch of infromation on a country level with a possibility to visualize on different aggretions .
https://fair-analytics.shinyapps.io/covidfairanalytics/
Several packages were involved to make this project a real dashboard, below are the elements : shiny/shindashboard/shindashboardPlus : without them the UI would look like a R file . Tidyverse Family and purrr : my favourite packages to make every complex dataset look like "mtcars" . * golem : as sexy as that you would not find, it enables to organize the dashboard as a software and package and gives it an entreprise framework.
In order to run the app in your local machine, follow the steps below :
Then simply install the Covid Dashboard as a package .
Successfully installed ? run the following command line in your IDE :
If you encounter any issue for installation or running the dashboard itself , please report them here:
https://github.com/fairanalytics/CovidDashboard2021/issues
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