Introducing Shiny App Stories

[This article was first published on RStudio Blog, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Today we’re introducing App Stories to the Shiny website. If you’ve spent any time learning about Shiny, there’s a good chance you’ve already seen our Shiny User Showcase. These are applications that Shiny users around the world have allowed us to share, and it’s an excellent place to get ideas about what you can do with Shiny.

App Stories are a bit different from the User Showcase: an App Story will center around a Shiny application, but the application will be designed specifically to show off specific features, and it will also include explanations of how to use those features.

We’re kicking off App Stories with an application for exploring weather patterns in US cities. This story shows off some of Shiny 1.6.0’s new features, and it has two parts: About the app describing the application’s functionality and motivation, and Using bindCache() to speed up an app which shows how Shiny’s new bindCache() function can be used to easily speed up your apps with very little code.

Screenshot of the weather explorer app

Both posts for the weather explorer go deeper into motivations and real-use-case scenarios than traditional documentation, and they provide insight into the development process of a nice-looking and high-performance Shiny app.

Screenshot of sections in caching article Articles are written trying to explain why in addition to how to use new features in Shiny

Going forward we will continue to add new applications along with posts about those applications. We’re experimenting with this kind of documentation, so we welcome feedback about what topics you would like explored or what could be improved. Feel free to tweet at us (Winston: @winston_chang, Nick: @NicholasStrayer) with your thoughts and ideas. Happy app making!

To leave a comment for the author, please follow the link and comment on their blog: RStudio Blog. offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)