Dr. Ramnath Vaidyanathan of McGill University gave an excellent presentation at a joint Data Visualization DC/Statistical Programming DC event on Monday, August 19 at nclud, on two R projects he leads — slidify and rCharts. After the evening, all I can say is, Wow!! It’s truly impressive to see what can be achieved in presentation and information-rich graphics directly from R. Again, wow!! (I think many of the attendees shared this sentiment)
Slidify is a R package that
helps create, customize and share elegant, dynamic and interactive HTML5 documents through R Markdown.
We have blogged about slidify, but it was great to get an overview of slidify directly from the creator. Dr. Vaidyanathan explained that the underlying principle in developing slidify is the separation of the content and the appearance and behavior of the final product. He achieves this using HTML5 frameworks, layouts and widgets which are customizable (though he provides several here and through his
slidifyExamples R package).
You start with a modified R Markdown file as seen here. This file can have chunks of R code in it. It is then processed to a pure Markdown file, interlacing the output of R code into the file. This is then split-apply-combined to produce the final HTML5 document. This document can be shared using GitHub, Dropbox or RPubs directly from R. Dr. Vaidyanathan gave examples of how slidify can even be used to create interactive quizzes or even interactive documents utilizing slidify and Shiny.
One really neat feature he demonstrated is the ability to embed an interactive R console within a slidify presentation. He explained that this used a Shiny server backend locally, or an OpenCPU backend if published online. This feature changes how presentations can be delivered, by not forcing the presenter to bounce around between windows but actually demonstrate within the presentations.
an R package to create, customize and share interactive visualizations, using a lattice-like formula interface
Again, we have blogged about rCharts, but there have been several advances in the short time since then, both in rCharts and interactive documents that Dr. Vaidyanathan has developed.
Dr. Vaidyanathan quickly demonstrated a basic process of how to map points on a city map, how to change their appearance and how to add additional meta-data to each point, that will appear as a pop-up when clicked.
You can see the full project and how Dr. Vaidyanathan developed this application here.
Interactive learning environments
Finally, Dr. Vaidyanathan showed a new application he is developing using slidify, rCharts, and other open-source technologies like OpenCPU and PopcornJS. This application allows him to author a lesson in R Markdown, integrate interactive components including interactive R consoles, record the lesson as a screencast, sync the screencast with the slides, and publish it. This seems to me to be one possible future for presenting massive online courses. An example presentation is available here, and the project is hosted here
Stay tuned for an interview I did with Dr. Vaidyanathan earlier, which will be published here shortly.
Have fun using these fantastic tools in the R ecosystem to make really cool, informative presentations of your data projects. See you next time!!!
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