Introduction to Shiny

• Introduction to Shiny
• Benefits of using Shiny
• Building your first Shiny app
• Components of a Shiny app
• Inputs and outputs
• Reactive programming
• Customising the UI with HTML and themes
• Alternative page layouts and {shinydashboard}

Session 1:

By the end of session 1, participants will…

• understand the benefits of using Shiny.
• be able to create a Shiny app.
• understand the construction of a Shiny app from ui.R, server.R and app.R files.
• have experience running Shiny apps.
• understand the inputs and outputs of the user interface elements using the render() functions.
• be able to apply the different render methods such as renderText(), renderPlot(), renderTable() and more.

Session 2:

By the end of session 2, participants will…

• have a basic understanding of reactivity and how it is used in Shiny.
• evaluate which input widgets are most appropriate to use in different scenarios.
• create reactive expressions using the reactive() function.
• render tables and plots using HTML widgets.
• be able to add HTML elements to the user interface and customise the page layout.
• have an understanding of the {shinydashboard} package.
• develop a Shiny app.

This course does not include:

• Interactive charts with {plotly}.
• Interactive embedded maps and spatial visualisation with {leaflet}.
• Validating user-inputted values.
• Action buttons and event bindings for reactive() and observe() events.
• Using Shiny modules.
• Creating tests for your Shiny app.

Participants should be comfortable using R and basic graphics with {ggplot2}