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Getting started with Shiny [Video]

More Information
  • Understand the different types of Shiny content and how to write them
  • Know how to put together a real application using the build in widgets
  • Use and control reactive programming in Shiny
  • Handle errors and perform debugging
  • Explore animation, data tables, and controlling graphics
  • Understand reactivity and control reactivity within Shiny

Shiny is a user contributed package for R that allows interactive web interfaces to easily be delivered through a web browser using only R code. No JavaScript is required. It’s simple to use R code to build user interfaces. There is also a lot of power and flexibility within the Shiny package, and its functionality can be expanded using user-contributed packages, as well as HTML, CSS, and JavaScript.

In this video course, you’ll start off by installing R, R Studio, and Shiny. Moving on, you’ll learn about Code files and how to build a simple application in Shiny. You’ll explore an RMarkdown document to understand how Shiny can be embedded straight into a document.

Moving on, you’ll learn about the Shiny input and output widgets and how to put them together into a larger application. Further we’ll present several features of Shiny, such as animation, data tables, downloading and uploading data, and how to produce attractive and interactive data tables. We’ll also include a toy example.

Finally, you will learn about reactive programming in Shiny and how to control reactivity in your programs. We’ll use a full-featured application to explore the ggplot2movies dataset. Moving on we’ll show you in detail how reactivity works, how it can be controlled. We’ll conclude the course by learning how to handle errors, debugging, and rate control in Shiny applications.

Style and Approach

In a step-by-step way, this video teaches you the basics of Shiny and shows you how to build a full application through examples.

  • Build useful web applications with only a few lines of code—no JavaScript required.
  • A highly customizable slider widget with built-in support for animation.
  • Uses a reactive programming model that eliminates messy event handling code, so you can focus on the code that really matters.
Course Length 1 hour 40 minutes
Date Of Publication 28 Sep 2017


Chris Beeley

Chris Beeley has been using R and other open source software for ten years to better capture, analyze, and visualize data in the healthcare sector in the UK. He is the author of Web Application Development with R Using Shiny. He works full-time, developing software to store, collate, and present questionnaire data using open technologies (MySQL, PHP, R, and Shiny), with a particular emphasis on using the web and Shiny to produce simple and attractive data summaries. Chris is working hard to increase the use of R and Shiny, both within his own organization and throughout the rest of the healthcare sector, as well to enable his organization to better use a variety of other data science tools. Chris has also delivered talks about Shiny all over the country.