Shiny App Web Development with R

• An understanding of R programming
• Experience working with data analysis or visualization
• Familiarity with HTML and CSS is helpful but not required

Audience

• Data analysts and scientists
• R developers seeking to build interactive dashboards
• Researchers and educators visualizing data for public or internal use

Shiny is an R package that enables users to build interactive and dynamic web applications directly from R, without requiring knowledge of JavaScript or complex web frameworks.

This instructor-led, live training (online or onsite) is aimed at intermediate-level R users who wish to build and deploy custom web applications using Shiny for data visualization, user interaction, and reporting.

By the end of this training, participants will be able to:

• Create interactive web applications using Shiny and R.
• Design user interfaces with reactive elements and dynamic inputs.
• Incorporate data visualizations and reporting features into Shiny apps.
• Deploy and share Shiny apps locally or online via Shiny Server or Posit Cloud.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to Shiny

• What is Shiny and how it works
• Installation and basic setup
• Exploring Shiny examples and gallery

UI and Server Architecture

• Understanding ui.R and server.R components
• Working with fluidPage(), sidebarLayout(), and layout functions
• Designing inputs and outputs

Reactivity and Dynamic Interactions

• Reactive expressions and observers
• Controlling app behavior with reactive inputs
• Debugging reactivity issues

Data Visualization and Reporting

• Integrating ggplot2 and plotly in Shiny apps
• Building reactive tables with DT or reactable
• Generating downloadable reports with rmarkdown

Advanced UI and Customization

• Adding tabs, conditional panels, and modals
• Incorporating custom CSS and themes
• Using Shiny modules for code reuse

Deployment and Hosting

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

Case Study and Application Design

• Building a full-featured dashboard from scratch
• Interactive filters and user-driven insights
• Tips for performance, security, and scalability

Summary and Next Steps