Learning R for Data Visualization (Video 31)

This video tutorial guides viewers through deploying a Shiny website on the internet. It covers splitting UI and server scripts, setting up a Shiny Apps account, and deploying the app online. The course concludes with a summary of key learnings, including data import, plot creation, and building interactive websites.

What is the first step before deploying a Shiny app on the internet?

• Registering on shinyapps.io

• Splitting UI and server into separate scripts

• Installing RStudio

• Creating a GitHub account

Why is it necessary to separate UI and server scripts for deployment?

• To enable offline access

• To reduce file size

• To improve code readability

• To meet deployment requirements

Which library must be loaded to ensure Shiny can create plots?

• shiny

• dplyr

• tidyr

• ggplot2

What is the maximum number of servers you can upload with a free shinyapps.io account?

• Unlimited

• 3

• 5

• 10

What is the function used to deploy a Shiny app on shinyapps.io?

• deployApp

• startApp

• runApp

• launchApp

What was one of the key skills learned in the course?

• Creating static plots

• Using Python for data analysis

• Developing mobile apps

• Building interactive websites

What can users do with the Shiny website created in the course?

• Edit HTML code

• Access a database

• Send emails

• Upload data and create plots