rbokeh | R interface to Bokeh http : //hafen.github.io/rbokeh/ | Data Visualization library

by bokeh R Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | rbokeh Summary

rbokeh is a R library typically used in Analytics, Data Visualization applications. rbokeh has no bugs, it has no vulnerabilities and it has low support. However rbokeh has a Non-SPDX License. You can download it from GitHub.

A native R plotting library that provides a flexible declarative interface for creating interactive web-based graphics, backed by the Bokeh visualization library.

Support

Quality

Security

License

Reuse

Support

rbokeh has a low active ecosystem.

It has 289 star(s) with 65 fork(s). There are 36 watchers for this library.

It had no major release in the last 6 months.

There are 70 open issues and 96 have been closed. On average issues are closed in 46 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of rbokeh is current.

Quality

rbokeh has 0 bugs and 0 code smells.

Security

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

rbokeh code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

rbokeh has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

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

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

It has 17667 lines of code, 0 functions and 104 files.

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

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rbokeh Key Features

No Key Features are available at this moment for rbokeh.

rbokeh Examples and Code Snippets

No Code Snippets are available at this moment for rbokeh.

Community Discussions

Trending Discussions on rbokeh

How to add lines segments to a google map

R: Dealing with "yaml" Parser Errors

How to create a Box-plot of nested/grouped categories in rbokeh?

QUESTION

How to add lines segments to a google map

Asked 2021-Jun-08 at 18:56

How can I add lines segments between two points in a gmap using the rbokeh package.

For example, the code below draw the points but doesn't add the segments.

...

ANSWER

Answered 2021-Jun-08 at 18:56

You have to use ly_lines() to add lines to your plot. Add ly_lines(x=lng, y=lat, data=pts) %>% befor your ly_points.

Source https://stackoverflow.com/questions/67885564

QUESTION

R: Dealing with "yaml" Parser Errors

Asked 2021-Mar-14 at 21:10

I am working with the R programming language. I am trying to replicate the interactive "dashboard" from this website here: https://beta.rstudioconnect.com/jjallaire/htmlwidgets-rbokeh-iris/htmlwidgets-rbokeh-iris.html

First, I ran this code to access the "flexdashboard template maker" :

...

ANSWER

Answered 2021-Mar-14 at 21:10

I think I was able to figure out the problem. I copy and pasted this code into the RMD editor and the dashboard works!

Source https://stackoverflow.com/questions/66628978

QUESTION

How to create a Box-plot of nested/grouped categories in rbokeh?

Asked 2020-Mar-11 at 05:12

I need to create a nested category box-plot where the x-axis is a combination of 2 factor(category) groups. In ly_boxplot(), the x argument can either be a numeric vector or a factor. Is there a way that it will accept a combined factor, say, of 2 or more factors?

The picture below is taken from this link.

How can I create such a plot using rbokeh library in R?

...

ANSWER

Answered 2020-Mar-11 at 05:12

Use the interaction function.

Source https://stackoverflow.com/questions/60628330

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

Vulnerabilities

No vulnerabilities reported

Install rbokeh

You can download it from GitHub.

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 .

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