RStudio provides the premiere open source and enterprise-ready professional software for data scientists moving to R from less flexible, proprietary, and expensive analytic platforms. Shiny, ggvis, dplyr, knitr, R Markdown, and packrat are R packages from RStudio that every data scientist will want to enhance the value, reproducibility, and appearance of their work.

Date: December 14th
Time: 11:00 AM EDT


Shiny now supports bookmarking (as of this webinar)! Users can save the state of an application and get a URL that can be used to return to the application in that state. You can even share the URL so that others to get to the application in the bookmarked state. There are two kinds of bookmarks: the state can either be saved on the server, or the state can be encoded in a URL.

In this webinar you'll learn how Shiny bookmarking works and how to use it in your Shiny applications.


Only 1,000 live attendees are allowed in the Webinar on a first come first serve basis. It is typical for many people who register to not attend (which is why registration does not guarantee access.) If for any reason you cannot make the webinar or cannot get in we will provide links to the recording as well as all materials within 48 hours.

Introducing bookmarkable state for Shiny Webinar Registration:


Winston Chang Winston Chang, Software Engineer -  Winston is a software engineer at RStudio, and is a developer for the Shiny, ggplot2, and devtools packages. He holds a Ph.D. in psychology from Northwestern University and is the author of R Graphics Cookbook, published by O’Reilly Media.

Webinar Recordings:

We try to record every webinar we host and post all materials on our website.

Slides & Code:

We've started a Github repository with all webinar materials. Speakers for this webinar and all future webinars will add their materials to the repository.

Live on December 14th at 11am EDT
Approximately 45 minutes of presentation followed by 15 Minutes of Q&A.