covid19_dashboard | This is a dashboard , similar to the one from Johns Hopkins | Dashboard library

by chschoenenberger R Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | covid19_dashboard Summary

covid19_dashboard is a R library typically used in Analytics, Dashboard applications. covid19_dashboard has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This is a dashboard, similar to the one from Johns Hopkins using open source technology.

Support

Quality

Security

License

Reuse

Support

covid19_dashboard has a low active ecosystem.

It has 139 star(s) with 61 fork(s). There are 15 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 16 have been closed. On average issues are closed in 19 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of covid19_dashboard is current.

Quality

covid19_dashboard has no bugs reported.

Security

covid19_dashboard has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

covid19_dashboard is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

covid19_dashboard releases are not available. You will need to build from source code and install.

Installation instructions are available. Examples and code snippets are not available.

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covid19_dashboard Key Features

No Key Features are available at this moment for covid19_dashboard.

covid19_dashboard Examples and Code Snippets

No Code Snippets are available at this moment for covid19_dashboard.

Community Discussions

Trending Discussions on covid19_dashboard

How to change chart based on toggle checkbox in r shiny?

Issues in replicating a plot from rmarkdown to Shiny with selectInput based dynamic Parameter

QUESTION

How to change chart based on toggle checkbox in r shiny?

Asked 2021-Apr-14 at 13:22

I am new to shiny and trying to change chart variable based on toggle switch input but getting error.

I have used the toggleid inside the observe({}) but not sure if that's how it is done.

Based on condition I have stored the required variable name in Case_selected which I have tried to use with !!Case_selected to get the variable name out from it.

ui code:

...

ANSWER

Answered 2021-Apr-14 at 13:22

You need to define Case_selected as reactive so that you can use it throughout the app. Also use .data to refer to column name.

Source https://stackoverflow.com/questions/67091784

QUESTION

Issues in replicating a plot from rmarkdown to Shiny with selectInput based dynamic Parameter

Asked 2021-Apr-13 at 18:33

I created a plot in rmarkdown which I am trying to recreate it with dynamic Parameters in shiny by using selectInPut. I am facing some issues due to String & non string type I guess which I am not able to figure out.

data available at: https://raw.githubusercontent.com/johnsnow09/covid19-df_stack-code/main/vaccination_data.csv

rmarkdown code & plot:

...

ANSWER

Answered 2021-Apr-13 at 18:33

There are couple of places where the string should be changed to symbol and evaluated (!!)

Source https://stackoverflow.com/questions/67080209

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install covid19_dashboard

First install R and your favourite IDE on your machine (I suggest RStudio or IntelliJ Community Edition with R plugin). To run the dashboard on your own machine, clone the repository and install renv. Renv is a dependency management tool for R. After installing call renv::restore(). This will get all libraries in renv.lock and install them on your machine. Afterwards you should be able to run the dashboard by calling shiny::runApp().

Support

If you want to add any visualization or further information feel free to create a pull request. For major rework either fork the repository or create an issue so we can discuss it. PLEASE: Do not add any models or the likes if you are no expert in epidemiology or similar. This dashboard should only display validated research or information. Your pull request will not be accepted if you are not able to verify your expertise.

Find more information at: