Teal: An R Shiny Framework to Unlock the Power of Interactive Data Exploration

Summary
Chendi Liao, Principal Statistical Programmer Analyst, Roche Canada, and Dony Unardi, Principal Data Scientist, Genentech, presented and gave a demo on Teal.

Teal is an open-source framework for building interactive data exploration applications in R. Developed at Roche, Teal allows users to quickly and easily create dynamic visualizations and tabulations of their data. It provides a range of pre-built, customizable modules and enables users to interact with their data in real-time. This allows users to quickly and easily explore their data, thus enabling fast insights generation. Some of the key features of Teal include a filter panel for easy data filtering, the “Show R Code” functionality which allows users to reproduce the displays from the app in a new R session and the reporter functionality which allows users to build custom reports based on the visualizations created in the app and export them in various formats such as PDF. Overall, Teal is a powerful tool for data scientists, clinicians, and drug safety specialists looking to gain insights from their clinical trial data.
#rstats #opensource #rprogramming

Main Sections

0:00 Speaker introductions
3:50 Teal presentation begins
5:14 Product development data sciences
8:59 Improve efficiency in the way we work
11:48 Building scalable exploratory apps with {teal}
12:27 What is {teal}? How does {teal} work?
15:50 Application of {teal}
18:19 Using {teal} as a data scientist 1,2, and 3
23:18 Teal app demo begins
24:56 Anatomy of a teal app
27:46 Live demo starts: Exploring teal features and creating a teal app
51:25 {teal} playground
53:11 Example apps
54:56 {teal} universe products map
58:25 Additional resources
59:41 Collaboration on {teal} and acknowledgments
1:01:30 Q&A session
1:20:53 Wrap up and thanks!

More Resources

Teal webinar page with slide deck: https://www.r-consortium.org/r-adopti...
Main Site: https://www.r-consortium.org/
News: https://www.r-consortium.org/news
Blog: https://www.r-consortium.org/news/blog
Join: https://www.r-consortium.org/about/join
Twitter:   / rconsortium  
LinkedIn:   / r-consortium