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Article originally posted on Data Science Central. Visit Data Science Central
This article was posted by Dean Attali. Dean is currently an R-Shiny consultant.
You can do quite a lot with Shiny: think of it as an easy way to make an interactive web page, and that web page can seamlessly interact with R and display R objects (plots, tables, of anything else you do in R). To get a sense of the wide range of things you can do with Shiny, you can visit my Shiny server, which hosts some of my own Shiny apps.
This tutorial is a hands-on activity complement to a set of presentation slides for learning how to build Shiny apps. In this activity, we’ll walk through all the steps of building a Shiny app using a dataset that lets you explore the products available at the BC Liquor Store. The final version of the app, including a few extra features that are left as exercises for the reader, can be seen here (see screenshot below.) Any activity deemed as an exercise throughout this tutorial is not mandatory for building our app, but they are good for getting more practice with Shiny.
This tutorial should take approximately an hour to complete. If you want even more practice, another great tutorial is the official Shiny tutorial. RStudio also provides a handy cheatsheet to remember all the little details after you already learned the basics.
Table of contents
- Before we begin
- Shiny app basics
- Create an empty Shiny app
- Load the dataset
- Build the basic UI
- Add inputs to the UI
- Add placeholders for outputs
- Checkpoint: what our app looks like after implementing the UI
- Implement server logic to create outputs
- Reactivity 101
- Using uiOutput() to create UI elements dynamically
- Final Shiny app code
- Share your app with the world
- More Shiny features to check out
- Awesome add-on packages to Shiny
- Ideas to improve our app
To check out all this information, click here.
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