Interactive Course

Building Web Applications in R with Shiny

Build interactive web apps straight from R with shiny!

  • 4 hours
  • 17 Videos
  • 55 Exercises
  • 26,367 Participants
  • 4,350 XP

Loved by learners at thousands of top companies:

siemens-grey.svg
ikea-grey.svg
forrester-grey.svg
deloitte-grey.svg
whole-foods-grey.svg
mercedes-grey.svg

Course Description

Shiny is an R package that makes it easy to build interactive web apps straight from R. Shiny combines the computational power of R with the interactivity of the modern web. This course will take you from R programmer to Shiny developer. If you want to take a fresh, interactive approach to telling your data story, let users interact with your data and your analysis, and do it all with R, dive in!

  1. 2

    Inputs, outputs, and rendering functions

    In this chapter you'll learn how to take advantage of different input and output options in shiny. You'll learn the syntax for taking inputs from users and rendering different kinds of outputs, including text, plots, and tables.

  2. 4

    Customizing appearance

    In this chapter you'll learn how to customize the appearance of your apps using shiny's built in functions. This will give your apps the final polish they need to be professional interactive data products!

  1. 1

    Introduction and Shiny basics

    This chapter lays out the basic architecture of a shiny app. You'll learn how to create the user interface and the server function for your first shiny application.

  2. 2

    Inputs, outputs, and rendering functions

    In this chapter you'll learn how to take advantage of different input and output options in shiny. You'll learn the syntax for taking inputs from users and rendering different kinds of outputs, including text, plots, and tables.

  3. 3

    Reactive programming

    This chapter covers the basics of reactive programming. This allows you to create and reuse objects that update dynamically in response to the inputs from the user. Using reactive programming will make your apps more efficient and complex.

  4. 4

    Customizing appearance

    In this chapter you'll learn how to customize the appearance of your apps using shiny's built in functions. This will give your apps the final polish they need to be professional interactive data products!

What do other learners have to say?

Devon

“I've used other sites, but DataCamp's been the one that I've stuck with.”

Devon Edwards Joseph

Lloyd's Banking Group

Louis

“DataCamp is the top resource I recommend for learning data science.”

Louis Maiden

Harvard Business School

Ronbowers

“DataCamp is by far my favorite website to learn from.”

Ronald Bowers

Decision Science Analytics @ USAA

Team RStudio
Team RStudio

Instructor

Collaborators
  • Nick Carchedi

    Nick Carchedi

  • Nick Solomon

    Nick Solomon

Prerequisites
Icon Icon Icon professional info