Transform your data into an interactive web app with R Shiny

Orientation and Introduction to Shiny.

• Getting everyone up and running.
  • Overview of course procedures and expectations.
  • Demonstration of Shiny products.
  • Free publishing options with ShinyUI and RPub.

• A First Shiny App.
  • Basic components: User Interface and Server components.
  • Overview of available widgets (slider bars, pick lists, check boxes, etc.).
  • Build basic apps: Use simple published examples as a guide, transcribe the code to work with a new dataset.

Focus on the User Interface.

• Common applications of Shiny (more practice with widgets).
  • More practice with basic widgets to select parameters, subset data, etc.
  • Build a basic Shiny app for your own data (or a class sample dataset).

• Dashboard Design Tools and Options.
  • UI layout autoscaling vs. absolute position.
  • Tabs and navigation bars.
  • Conditional panels.
  • More hands-on practice with your own data (or a class sample dataset).

Focus on Shiny Server.

• Putting the right code in the right places.
  • What happens when you run Shiny? (and where are all your data objects?).
  • Where and when to load data, libraries, and functions.
  • Troubleshooting common problems.

• Reactive Programming.
  • Base reactivity on project selection, data subset selection, or parameter selection.
  • Use submit and isolate to manage conditional reactivity.
  • Add a reactive element and submit button to your Shiny app built on Tuesday.

More Reactivity and More Practice.

• Interactive Plots.
  • Use click, double click, hover, and brush to select data subsets from a plot.
  • Build interactive plot using base plot and ggplot with your own data (or a class sample dataset).
  • Build an interactive plot using ggplot with your own data (or a class sample dataset).
  • Add code to print results of an interactive session.
• Successfully complete at least one of five possible exercises to ensure understanding and practice troubleshooting.

Publishing Shiny Material.

• Simple Sharing.
  • Advice on file managemet for easy sharing.
  • Orientation to RStudio’s hosting service, Shinyapps.io.
  • Brief comments on other advanced sharing options (Shiny Server, GitHub, etc.).
  • Share one of your apps with a classmate using zipped folder or Shinyapps.io.
  • Shiny with R Markdown (Optional, or more practice building example apps).
    • Intergrating Shiny content into R Markdown documents.
    • Publishing results of reactive programming to an R Markdown report.