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.
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.
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!
We are excited to announce real-time collaborative editing on RStudio Cloud. Users can join the same project, edit code, and immediately see each other’s changes.
In this series, we walk through lesser-known tips and tricks to help you work more effectively and efficiently in R Markdown. This third post focuses on features that save you time and trouble.