Covid-19 Dashboard with R Shiny

This project is to built a dashboard to show figures of the covid-19 crisis, and render it on a map.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

You will need to install R and an IDE (RStudio for example) by clicking to the links below.

Installing and launching the app

After installing the softwares, you can clone the repository. Then, you may click on the project to open it (week_X_Covid_19_with_R - Shortcut.Rproj).

Finally, you may try the app:

shiny::run_app()

The data used by the app are in the input folder, but it is used from the repository of John Hopkins university. There are no special need to add data for the first try of the app.

Running the tests

Run the files in the folder tests. Have to be finalised.

Break down into end to end tests

There are two type of test :

• Unit test for functions
• Functional test for the whole app

And coding style tests

For both type of test, I fixed the maximum date of the data to the value '2020-03-01' in order to have always same figures. For the unit test, some test are written and render a value True or False.

# Test for function df_max_date
source("../Covid_19_R/codes/functions/df_max_date.R",encoding = "UTF-8")
df2 <- df_max_date(df = df$df_grp_all_country, max_date = df$max_date)
max(df2$date) == df$max_date
max(df2$date) == "2020-03-01"

For the functional test, I proceeded twice. The first one was a code to save a picture of the app to compare later with other pictures when the app have been changed. The second way is to write a test text file with several cases.Then, I just try the app ad check the results. Theses tests are in the specification file.

Deployment

There are several ways to deploy this dashboard :

• use shinyapps.io
• use shiny server
• use shiny shortcut

You may find the production version at :

• on Shinyapps.io
• on my blog
• The shortcut in the production folder.

Built With

• R - Language used
• RStudio - IDE used

Contributing

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

Versioning

We use SemVer for versioning. For the versions available, see the tags on this repository.

Lifecycle

Authors

• Quentin Mouton - Initial work - Dataiscoming

See also the list of contributors who participated in this project.

License

This project is licensed under the MIT License - see the LICENSE.md file for details.

Acknowledgments

This app is inspired from two dashboards :

• the John Hopkins university dashboard
• the Sebastian Wolf dashboard