d3heatmap | A D3.js-based heatmap htmlwidget for R | Data Visualization library

by talgalili HTML Version: Current License: Non-SPDX

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

kandi X-RAY | d3heatmap Summary

d3heatmap is a HTML library typically used in Analytics, Data Visualization applications. d3heatmap has no bugs, it has no vulnerabilities and it has low support. However d3heatmap has a Non-SPDX License. You can download it from GitHub.

A D3.js-based heatmap htmlwidget for R

Support

Quality

Security

License

Reuse

Support

d3heatmap has a low active ecosystem.

It has 239 star(s) with 95 fork(s). There are 32 watchers for this library.

It had no major release in the last 6 months.

There are 43 open issues and 24 have been closed. On average issues are closed in 331 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of d3heatmap is current.

Quality

d3heatmap has 0 bugs and 0 code smells.

Security

d3heatmap has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

d3heatmap code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

d3heatmap 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

d3heatmap releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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d3heatmap Key Features

No Key Features are available at this moment for d3heatmap.

d3heatmap Examples and Code Snippets

No Code Snippets are available at this moment for d3heatmap.

Community Discussions

Trending Discussions on d3heatmap

Improve performance of ggplotly when plotting time-series heatmap

echarts4r: zoom like in d3heatmap

QUESTION

Improve performance of ggplotly when plotting time-series heatmap

Asked 2020-Mar-23 at 20:32

I'm building an interactive time-series heatmap in R using Plotly and Shiny. As part of this process, I'm re-coding heatmap values from continuous to ordinal format - so I have a heatmap where six colours represent specific count categories, and those categories are created from aggregated count values. However, this causes a major performance issue with the speed of the creation of heatmap using ggplotly(). I've traced it to the tooltip() function from Plotly which renders interactive boxes. Labels data from my heatmap somehow overload this function in a way that it performs very slowly, even if I just add a single label component to the tooltip(). I'm using a processed subset of COVID-19 outbreak data from Johns Hopkins CSSE repository. Here is a simplified heatmap code, which also uses The Simpsons colour theme from ggsci:

...

ANSWER

Answered 2020-Mar-23 at 20:32

If you rewrite it as "pure" plotly (without the ggplotly conversion), it will be much faster. Around 3000 times even. Here's the result of a very small benchmark:

Source https://stackoverflow.com/questions/60763006

QUESTION

echarts4r: zoom like in d3heatmap

Asked 2020-Feb-24 at 15:35

Is there a way to zoom heatmaps in echarts4r similar to d3heatmap? (https://github.com/rstudio/d3heatmap). The purpose is to use the callbacks in echarts4r to trigger events when clicking and hovering over on the heatmap which d3heatmap doesn't have (that I know of).

This code is copied from (https://echarts4r.john-coene.com/articles/chart_types.html#heatmap) with the addition of the brush. The brush shows and can select a zoom window, however the chart doesn't zoom.

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ANSWER

Answered 2020-Feb-24 at 15:35

The brush and the zoom are two different things in echarts: use e_datazoom instead.

Source https://stackoverflow.com/questions/59655677

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

Vulnerabilities

No vulnerabilities reported

Install d3heatmap

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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