README.md

Covid Tracker Dashboard

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 image

Motivation :

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 .

Data source :

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

Dashboard :

The dashboard diplays a bunch of infromation on a country level with a possibility to visualize on different aggretions .

Live Demo :

https://fair-analytics.shinyapps.io/covidfairanalytics/

what makes it happen :

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.

Usage and Installation

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 :

Issues :

If you encounter any issue for installation or running the dashboard itself , please report them here:

https://github.com/fairanalytics/CovidDashboard2021/issues



fairanalytics/CovidDashboard2021 documentation built on Dec. 20, 2021, 7:41 a.m.