Building Web Applications in R with Shiny
Build interactive web apps straight from R with shiny!
- 4 hours
- 17 Videos
- 55 Exercises
- 26,470 Participants
- 4,350 XP
Create Your Free Account
By pressing Continue you accept the Terms of Use and Privacy Policy. You also accept that you are aware that your data will be stored outside of the EU and that you are above the age of 16.
Loved by learners at thousands of top companies:
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
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.
-
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.
-
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.
-
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
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
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
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
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?
“I've used other sites, but DataCamp's been the one that I've stuck with.”
Devon Edwards Joseph
Lloyd's Banking Group
“DataCamp is the top resource I recommend for learning data science.”
Louis Maiden
Harvard Business School
“DataCamp is by far my favorite website to learn from.”
Ronald Bowers
Decision Science Analytics @ USAA
Team RStudio
Instructor
Collaborators
-
Nick Carchedi
-
Nick Solomon