Building Data Apps with R and Shiny: Essential Training [Repost]

Shiny allows R data science teams to build interactive data-driven web apps without needing to learn HTML, CSS, or JavaScript. It is a powerful and versatile tool that is often used for R&D, data analysis, and even external marketing purposes. If you have a good understanding of the R language and know how to separate client-side code from server-side, you are ready to dive into this course and build a Shiny app. Charlie Hadley covers organizing single and split-file apps, managing data tables, using APIs to get data into an app, adding data controls, deploying an app, and more.

Learning objectives

• Building a Shiny data app
• Single vs. split-file apps
• Static tables vs. interactive tables
• renderTable and kableExtra and DT tables
• Connecting to an API
• Populating pull-down menus from data
• Using interdependent filter controls
• Collecting data using rhandsontable
• Printing to the R console in Shiny apps
• Debugging Shiny apps
• shinyjs::runcodeUI, reactlog
• Deploying apps