RStudio provides the premiere open source and enterprise-ready professional software for R, including RStudio Desktop, RStudio Server, RStudio Connect, Shiny Server, and shinyapps.io. The tidyverse, shiny, ggplot, 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: September 27th
Time: 11:00 a.m. EDT

Description:

Shiny is an R package that makes it easy to build interactive web apps straight from R. This webinar will cover the basics of building and deploying a Shiny app, including essentials of reactive programming for building apps that are more efficient, robust, and correct. We will also discuss building interactive plots and creating interactive documents containing Shiny components.



Logistics:

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.

Introduction to Shiny Webinar Registration:


Presenter:

Mine Çetinkaya-Rundel Mine Çetinkaya-Rundel , Data Scientist and Professional Educator - Mine is Professional Educator at RStudio and Assistant Professor of the Practice at Duke University. Her work focuses on innovation in statistics pedagogy, with an emphasis on computation, reproducible research, open-source education, and student-centered learning. She is the author of three open-source introductory statistics textbooks as part of the OpenIntro project and teaches the popular Statistics with R MOOC on Coursera


Webinar Recordings:

We try to record every webinar we host and post all materials on our website.
http://www.rstudio.com/resources/webinars/

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.
https://github.com/rstudio/webinars


Live on September 27th at 11am EDT
Approximately 45 minutes of presentation followed by 15 Minutes of Q&A.