covid19_dashboard | Create your own dashboard web app with free resources | Dashboard library

by Unicorndy Python 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 Python library typically used in Analytics, Dashboard, React applications. covid19_dashboard has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Create your own dashboard web app with free resources

Support

Quality

Security

License

Reuse

Support

covid19_dashboard has a low active ecosystem.

It has 182 star(s) with 64 fork(s). There are 15 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 3 have been closed. On average issues are closed in 21 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 0 bugs and 0 code smells.

Security

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

covid19_dashboard code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

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.

Build file is available. You can build the component from source.

covid19_dashboard saves you 542 person hours of effort in developing the same functionality from scratch.

It has 1269 lines of code, 14 functions and 2 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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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

You can download it from GitHub.
You can use covid19_dashboard like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: