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 Duration 14 hours

Course Outline

Introduction to Shiny

  • Overview of Shiny and its operational principles
  • Installation and initial configuration
  • Browsing Shiny examples and the gallery

UI and Server Architecture

  • Comprehending ui.R and server.R components
  • Utilizing fluidPage(), sidebarLayout(), and other layout functions
  • Structuring inputs and outputs

Reactivity and Dynamic Interactions

  • Reactive expressions and observers
  • Regulating app behavior via reactive inputs
  • Troubleshooting reactivity issues

Data Visualization and Reporting

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

Advanced UI and Customization

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

Deployment and Hosting

  • Publishing apps to Posit Cloud or Shinyapps.io
  • Executing apps locally and on Shiny Server
  • Managing dependencies and version control

Case Study and Application Design

  • Assembling a comprehensive dashboard from the ground up
  • Implementing interactive filters and user-driven insights
  • Strategies for performance, security, and scalability

Summary and Future Directions

Requirements

  • Proficiency in R programming
  • Experience in data analysis or visualization
  • Familiarity with HTML and CSS is beneficial but not mandatory

Target Audience

  • Data analysts and scientists
  • R developers looking to create interactive dashboards
  • Researchers and educators presenting data for public or internal audiences

Number of participants


Price per participant

Open Training Courses require 5+ participants.

Testimonials (3)

a multitude of points

Joanna - Instytut Ekonomiki Rolnictwa i Gospodarki Zywnosciowej-PIB
Course - Statistical Analysis with Stata and R

knowledge of the trainer, tailor based, all topics covered

eleni - EUAA
Course - Forecasting with R

The real life applications using Statcan and CER as examples.

Matthew - Natural Resources Canada
Course - Data Analytics With R

Upcoming Courses

Shiny App Web Development with R

2026-11-06 09:30
14 hours
Oslo
3000 EUR (Online)
3400 EUR (Classroom)

Shiny App Web Development with R

2026-11-20 09:30
14 hours
Oslo
3000 EUR (Online)
3400 EUR (Classroom)

Shiny App Web Development with R

2026-12-04 09:30
14 hours
Oslo
3000 EUR (Online)
3400 EUR (Classroom)

Shiny App Web Development with R

2026-12-18 09:30
14 hours
Oslo
3000 EUR (Online)
3400 EUR (Classroom)

Shiny App Web Development with R

2027-01-01 09:30
14 hours
Oslo
3000 EUR (Online)
3400 EUR (Classroom)

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