d3Network | Tools for creating D3 JavaScript network graphs from R

 by   christophergandrud R Version: Current License: No License

kandi X-RAY | d3Network Summary

kandi X-RAY | d3Network Summary

d3Network is a R library. d3Network has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Tools for creating D3 JavaScript network, tree, dendrogram, and Sankey graphs from R. Version: 0.5.2
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              d3Network has a low active ecosystem.
              It has 171 star(s) with 56 fork(s). There are 23 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 11 open issues and 18 have been closed. On average issues are closed in 50 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of d3Network is current.

            kandi-Quality Quality

              d3Network has 0 bugs and 0 code smells.

            kandi-Security Security

              d3Network has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              d3Network code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              d3Network does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              d3Network releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of d3Network
            Get all kandi verified functions for this library.

            d3Network Key Features

            No Key Features are available at this moment for d3Network.

            d3Network Examples and Code Snippets

            No Code Snippets are available at this moment for d3Network.

            Community Discussions

            QUESTION

            R shiny D3 network graph with NodeSize
            Asked 2019-Feb-04 at 18:47

            I am using D3Network library for plotting graph on web (using shiny).

            ...

            ANSWER

            Answered 2019-Feb-04 at 18:47

            You have to store the size in the node matrix. Here is a fully working example including a graph. Please note, that the node size is not directly taken but somehow recalculated by another function (radiusCalculation).

            Source https://stackoverflow.com/questions/54520385

            QUESTION

            Understanding Les Miserables Co-occurrence data
            Asked 2018-Dec-17 at 21:38

            Working with the Les Miserables Co-occurrence data, I did some research (including Les Miserables Co-occurrence) but still hoping someone can help to confirm my understanding.

            For example, the data is in json format, here: https://raw.githubusercontent.com/christophergandrud/d3Network/master/JSONdata/miserables.json

            Screenshots:

            This is how I see it:

            Nodes:

            There are 77 names, in 11 groups (from 0 to 10). The grouping is fixed. Seems these names have corresponding codes but not being indicated anywhere.

            Links:

            Source and Targets, are represented by codes 0 ~ 76 (so 77 in total).

            Value here, refers to the number of times occurred. for example, {"source":2,"target":0,"value":8} refers to Mlle.Baptistine to Myriel occurred 8 times (if the names are coded in sequence?)

            Am I getting them right? What's the full explanation of this data? Thank you.

            ...

            ANSWER

            Answered 2018-Dec-17 at 21:38

            I guess you're right, the link {"source":1,"target":0,"value":1} (the first one) means that Myriel and Napoleon were cited together in the same chapter; and the link {"source":2,"target":0,"value":8} (the second one) means that Mlle.Baptistine and Myriel were cited together in 8 (distinct) chapters.

            So you're also right regarding to the nodes : they don't have explicit id, but the links refer to them using their indexes in the nodes array.

            The group id is a cluster id, obtained from some community-detection algorithm.

            Source https://stackoverflow.com/questions/53810800

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

            Vulnerabilities

            No vulnerabilities reported

            Install d3Network

            You can install d3Network using the [devtools](https://github.com/hadley/devtools) package and the following code:.

            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:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            CLONE
          • HTTPS

            https://github.com/christophergandrud/d3Network.git

          • CLI

            gh repo clone christophergandrud/d3Network

          • sshUrl

            git@github.com:christophergandrud/d3Network.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link

            Consider Popular R Libraries

            ggplot2

            by tidyverse

            awesome-R

            by qinwf

            shiny

            by rstudio

            dplyr

            by tidyverse

            swirl_courses

            by swirldev

            Try Top Libraries by christophergandrud

            networkD3

            by christophergandrudR

            dpmr

            by christophergandrudR

            DataCombine

            by christophergandrudR

            imfr

            by christophergandrudR

            repmis

            by christophergandrudR