Site icon R-bloggers

Interactive Visualizations from R using rCharts

[This article was first published on Data Science Los Angeles » R, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

At useR! 2014 Ramnath Vaidyanathan gave a tutorial and a presentation on one of his current project, rCharts. This R package allows you to create, customize and share interactive visualizations straight from R. rCharts leverages several existing javascript visualization libraries such as polychart, MorrisJS, NVD3, xCharts, HighCharts, leaflet, and Rickshaw, providing R users a fantastic array of new features and visualization styles.

rCharts also provides a convenient method to share these charts, either in standalone mode, by using a Shiny application, or even in a blog post using knitR! Continuing with the theme of the conference of R as an interface, Ramnath has succeeded in creating a powerful system to smoothly move between the familiar lattice plotting interface and the best available visualization libraries.

In this talk, Ramnath provides a high level overview of rCharts, as well as providing a deep dive into the kinds of visualizations possible with this tool – including the interactive visualizations now at your fingertips. From barcharts to mapping, from static to interactive, Ramnath covers many common use cases with this package, and we encourage you to follow along with the video below using his provided slides from the original talk. Enjoy!

To leave a comment for the author, please follow the link and comment on their blog: Data Science Los Angeles » R.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.