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: May 20th 2015
Time: 11:00 AM EDT

Description:

Learning to use Shiny is easier than you may think. Many R users have already learned to use Shiny to create attractive, interactive data products. This webinar will help you do the same.

In this talk, Garrett Grolemund will show you how to start building your own Shiny apps. You'll learn how to create the basic ingredients of an app---a set of inputs, a set of outputs, an attractive layout, and a set of instructions that describe how your app will react. He will also demonstrate several helpful patterns that you can use in your apps.

Our webinar host, GoToWebinar, Now Supports Linux but ONLY for VIDEO.  You must dial in by Telephone to the conference for access to the audio.

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.


How to start with Shiny Webinar Registration:


Presenter:

Garrett Grolemund Garrett Grolemund, Data Scientist and Master Instructor - Garrett excels at teaching, statistics, and teaching statistics. He wrote the popular lubridate package and is the author of Hands On Programming with R and the upcoming book, Data Science with R, from O’Reilly Media. He holds a PhD in Statistics and specializes in Data Visualization. GitHub


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.

Live on May 20th at 11am EDT
Approximately 45 minutes of presentation followed by 15 Minutes of Q&A.