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 Duration 14 hours

Course Outline

Introduction to Shiny

  • Overview of Shiny and its operational mechanics.
  • Installation processes and basic configuration.
  • Reviewing Shiny examples and the application gallery.

UI and Server Architecture

  • Understanding the roles of ui.R and server.R components.
  • Utilizing fluidPage(), sidebarLayout(), and various layout functions.
  • Designing input controls and output displays.

Reactivity and Dynamic Interactions

  • Working with reactive expressions and observers.
  • Controlling application behavior through reactive inputs.
  • Debugging common reactivity issues.

Data Visualization and Reporting

  • Integrating ggplot2 and plotly within Shiny apps.
  • Creating reactive tables using DT or reactable.
  • Generating downloadable reports with rmarkdown.

Advanced UI and Customization

  • Incorporating tabs, conditional panels, and modals.
  • Applying custom CSS and themes.
  • Leveraging Shiny modules for code reusability.

Deployment and Hosting

  • Deploying applications to Posit Cloud or Shinyapps.io.
  • Running apps locally and on Shiny Server.
  • Managing dependencies and version control.

Case Study and Application Design

  • Constructing a comprehensive dashboard from the ground up.
  • Implementing interactive filters and user-driven insights.
  • Best practices for performance, security, and scalability.

Summary and Next Steps

Requirements

  • A solid understanding of R programming.
  • Experience in data analysis or visualization.
  • Basic familiarity with HTML and CSS is beneficial, though not mandatory.

Target Audience

  • Data analysts and scientists.
  • R developers aiming to build interactive dashboards.
  • Researchers and educators who need to visualize data for internal or public audiences.

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