How to boost R Markdown interactivity with runtime Shiny

The video tutorial explains how to enhance R Markdown documents with runtime Shiny to create interactive applications. It covers the basics of Shiny, including dynamic inputs and reactive expressions, and demonstrates how to build dynamic tables, plots, and maps. The tutorial also discusses deployment options for Shiny applications, such as using RStudio's Shiny server or cloud services like AWS.

What is the primary benefit of using Shiny with R Markdown?

• To create static documents

• To enhance interactivity in web applications

• To simplify data analysis

• To improve code readability

What change is made to the YAML header to convert an R Markdown document into a Shiny app?

• Add runtime: HTML

• Add runtime: shiny

• Add runtime: R

• Add runtime: interactive

Which function is used to create a dropdown list in a Shiny document?

• inputSelect

• dropdownMenu

• listInput

• selectInput

What must be done to a data frame to make it reactive in Shiny?

• Wrap it in a render function

• Wrap it in a reactive function

• Convert it to a matrix

• Use it as a global variable

Which function is used to render a data table in Shiny?

• renderDT

• renderPlot

• renderTable

• renderData

What is a key advantage of using Shiny's render functions?

• They reduce the need for server logic

• They simplify the code structure

• They automatically update outputs based on inputs

• They enhance the visual appearance

What is the purpose of the reactive function in Shiny?

• To simplify server logic

• To handle user inputs

• To manage dynamic data

• To create static content

What is a common error when starting with Shiny?

• Using too many render functions

• Forgetting to install RStudio

• Using regular R variables for dynamic content

• Not saving the document

What is required to run a Shiny application on a local system?

• A web browser

• RStudio and the Shiny package

• A cloud server

• A paid Shiny account

Which service offers a free option for hosting Shiny applications?

• Digital Ocean

• RStudio's Shinyapps.io

• Google Compute Engine

• AWS