Introduction to Shiny Apps
Build interactive web applications in R to share data insights with stakeholders.
Introduction to Shiny Apps is a free R Academy lesson on CoddyKit — lesson 2 of 3. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the R Academy learning path, one of 3 lessons in the course, and your progress syncs across the web and the CoddyKit app.
1
Introduction to Shiny Apps
Shiny is an R package that allows you to build interactive web applications directly from R. It is widely used for data visualization and reporting.

2
Installing and Loading Shiny
Before using Shiny, install and load the package.
install.packages('shiny')
library(shiny)3
Basic Structure of a Shiny App
A Shiny app consists of two main parts:
- UI (User Interface): Defines the layout and appearance.
- Server: Contains the logic and computations.
4
Creating a Simple Shiny App
Use shinyApp() to create a basic interactive application.
library(shiny)
ui <- fluidPage(
titlePanel('Hello Shiny!'),
sidebarLayout(
sidebarPanel(sliderInput('num', 'Choose a number:', 1, 100, 50)),
mainPanel(textOutput('value'))
)
)
server <- function(input, output) {
output$value <- renderText({ paste('You selected:', input$num) })
}
shinyApp(ui = ui, server = server)5
Adding Reactive Elements
Reactive expressions update automatically when inputs change.
server <- function(input, output) {
reactive_text <- reactive({ paste('Your number squared is:', input$num^2) })
output$value <- renderText({ reactive_text() })
}6
Creating Interactive Plots
Use renderPlot() to display interactive plots.
server <- function(input, output) {
output$plot <- renderPlot({
hist(rnorm(input$num), col='blue', main='Random Histogram')
})
}7
Running a Shiny App
Save your script as app.R and run it using shiny::runApp().
8
9
Deploying a Shiny App
Shiny apps can be deployed online using shinyapps.io or hosted on a Shiny server.
10
Summary
In this lesson, you learned:
- How to create and structure a Shiny app.
- How to use reactive elements for interactivity.
- How to deploy a Shiny app online.

Frequently asked questions
Is the “Introduction to Shiny Apps” lesson free?
Yes — the full text of “Introduction to Shiny Apps” is free to read here on the web, and the R Academy course includes 3 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the R Academy course, upgrade to CoddyKit PRO.
What will I learn in “Introduction to Shiny Apps”?
Build interactive web applications in R to share data insights with stakeholders. You practise R Academy with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.
Do I need any experience to start R Academy?
No prior experience is required. R Academy on CoddyKit is structured for beginners through advanced learners; this is — lesson 2 of 3, so you can start here or from the beginning and move at your own pace.
How long does the “Introduction to Shiny Apps” lesson take?
Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.
Can I write and run code in this R Academy lesson?
Yes. Every R Academy lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.
All lessons in this course
- R Markdown Basics
- Introduction to Shiny Apps
- Deployment and Best Practices