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We conclude our multi-part series with RStudio software engineer Barret Schloerke with an in-depth look at the learnr package and how Shiny plays a huge role in powering the many features and extensibility available! Barret walks us through two showcases of learnr in action with the RStudio primer tutorials as well as the eye-catching naniar missing values tutorial by Allison Horst. Plus we get a preview of the great features coming up in the next release, and advice for Shiny developers looking to bring their skills to the next level.
Resources mentioned in the episode

• learnr
  • The learnr package makes it easy to turn any R Markdown document into an interactive tutorial. Tutorials consist of content along with interactive components for checking and reinforcing understanding.
  • Site: https://rstudio.github.io/learnr/
  • Demos:
  • RStudio Primers: https://rstudio.cloud/learn/primers
  • Allison Horst 
    • Post: https://education.rstudio.com/blog/2020/05/learnr-for-remote/
    • Demo: https://allisonhorst.shinyapps.io/missingexplorer/
    • Source: https://github.com/allisonhorst/explore-na
  • Sortable 
    • Site: https://rstudio.github.io/sortable/
    • Demo: https://rstudio.github.io/sortable/tutorials/tutorial_question_rank.html

Episode Timestamps
0:00- Episode Introduction
 0:48- Introduction to learnr
2:10- Examples of learnr tutorials, rstudio.com/learn/primers
5:26- A very nice learnr tutorial example from Alison Horst
7:10- Getting started with learnr
9:10- {sortable} for questions that require ranking/sorting questions.
12:40 - Working on multi-language support. Including SQL, Python, and more.
14:16 - Advice for Shiny users
18:34 - Episode wrap-up