Online Program

TA(s): Amanda Gadrow, Rstudio and Jennifer Thompson, Vanderbilt University Medical Center

Shiny is an R package that makes it easy to build interactive web apps straight from R. With Shiny, you can create standalone apps, embed them in R Markdown documents, build dashboards, and much more. This course will introduce you to the basics of building web applications and dashboards with Shiny, essentials of reactive programming, and how to customize and deploy your apps for others to use. If you want to take a fresh, interactive approach to telling your data story, let users interact with your data and your analysis, and do it all with R, this workshop is for you! Please bring a laptop with you to the course.

Target Audience

Some experience with R is assumed, however no experience with Shiny is necessary.

Outline & Objectives

- Design a Shiny app from scratch
- Understand the essentials of reactive programming in Shiny
- Customize reactive objects in your app for better performance
- Customize the user interface of your app
- Build interactive dashboards
- Explore deployment options for sharing your app with an audience

About the Instructor

Mine Çetinkaya-Rundel is the Director of Undergraduate Studies and Associate Professor of the Practice in the Department of Statistical Science at Duke University as well as a Professional Educator at RStudio. Mine’s work focuses on innovation in statistics pedagogy, with an emphasis on computation, reproducible research, student-centered learning, and open-source education. Mine works on integrating computation into the undergraduate statistics curriculum, using reproducible research methodologies and analysis of real and complex datasets. She also organizes ASA DataFest, works on the OpenIntro project, and teaches the popular Statistics with R MOOC on Coursera as well as numerous courses on DataCamp. In 2016 Mine received the ASA Waller Education Award. She is also the recipient of the 2015 JSM Best Paper Award in the Section on Teaching Statistics in the Health Sciences and the 2014 Duke University David and Janet Vaughan Brooks Award for Teaching Excellence. Mine is also the Chair-elect of the ASA's Section on Statistical Education.