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Interactive DataViz with R plus Javascript with Dr. Vaidyanathan (Demo,Hands-On)

Dr. Ramnath Vaidyanathan is an Assistant Professor of Operations Management at McGill University in Montreal. He has developed two R packages, Slidify and rCharts, both aimed at simplifying the creation and sharing of interactive web-based content with R; and also rNotebook.  This event will focus mostly on rCharts.  Dr. Vaidyanathan holds a PhD in Operations Management from the Wharton School, and has worked at McKinsey and Company. 


The $4 is both for (1) a "thank you" to Dr. Vaidyanathan as he will be traveling to us from Montreal (i.e. help cover travel expenses!), and (2) to crowdfund pizza.

On the packages and event - Dr. Vaidyanathan has created:

• Slidify, which allows the creation of HTML5-based presentations using Markdown and R

• rNotebook, an enhanced version of the KnitR Notebook, which allows you to see your Rmarkdown document and the formatted HTML instantaneously side-by-side

• rCharts, which allows the creation of dynamic graphical content using a variety of Javascript graphing libraries like d3.js, Highcharts, Leaflet, Rickshaw and others, directly from R using the familiar R syntax conventions

• Please see the rCharts Gallery for many examples and code

• Please see the rCharts Playground to try a handful of examples 

• rCharts is available through GitHub.  To install rCharts.

# first install devtools if you don't already have it already installed

install.packages('devtools')

library(devtools)

install_github('rCharts', 'ramnathv', ref = 'dev')

library(rCharts)


Examples from the rCharts site: 

## Example 1 Facetted Scatterplot 

names(iris) = gsub("\\.", "", names(iris)) 

rPlot(SepalLength ~ SepalWidth | Species, data = iris, color = 'Species', type = 'point')


## Example 2 Facetted Barplot 

hair_eye = as.data.frame(HairEyeColor) 

rPlot(Freq ~ Hair | Eye, color = 'Eye', data = hair_eye, type = 'bar')

Join or login to comment.

  • Sharon M.

    Enjoyed this presentation. Among the things I learned: Even without using a server, you can add interactive filters to rCharts graphs using a single line of code something like r1$addControls("x", "wt", names(mtcars))

    January 24, 2014

  • A former member
    A former member

    Good - looking forward to reviewing materials, hands-on

    January 24, 2014

  • William S H.

    Great meet up - rCharts is very nice. Learned a lot about how R, Javascript charting tools, AngularJS, OpenCPU and Slidy all work together.

    January 24, 2014

  • Michael B

    Great presentation. rChart is slick. OpenCPU was a real eye-opener too.

    January 23, 2014

  • David B.

    great stuff!

    January 23, 2014

  • Sharon M.

    Other links of possible interest:

    60+ Resources to improve your R data skills:
    http://cwrld.us/RGuideList

    Beginner's Guide to R:
    http://cwrld.us/RGuideIntro

    January 23, 2014

  • Sharon M.

    This tutorial I did for Computerworld might be of interest: How to turn CSV data into interactive visualizations with R and rCharts http://www.computerworld.com/slideshow/detail/106897

    January 23, 2014

  • Jim T.

    Late change in plans, I wont be able to attend this session.

    January 23, 2014

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