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 Duration 14 hours

Course Outline

Introduction to Shiny

  • Overview of Shiny and its underlying mechanisms
  • Installation and initial configuration
  • Reviewing Shiny examples and the application gallery

UI and Server Architecture

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

Reactivity and Dynamic Interactions

  • Reactive expressions and observers
  • Regulating app behavior through reactive inputs
  • Troubleshooting reactivity-related issues

Data Visualization and Reporting

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

  • Releasing apps to Posit Cloud or Shinyapps.io
  • Operating apps locally or 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 foundational understanding of R programming
  • Practical experience in data analysis or visualization
  • Knowledge of HTML and CSS is advantageous but not mandatory

Audience

  • Data analysts and scientists
  • R developers interested in creating interactive dashboards
  • Researchers and educators visualizing 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

2026-11-16 10:00
14 hours
Seoul - Gran Seoul
₩ 5000000 (Online)
₩ 10000000 (Classroom)

Shiny App Web Development with R

2026-11-30 10:00
14 hours
Seoul Center 1
₩ 5000000 (Online)
₩ 10000000 (Classroom)

Shiny App Web Development with R

2026-12-14 10:00
14 hours
Jungang-Dong Center
₩ 5000000 (Online)
₩ 10000000 (Classroom)

Shiny App Web Development with R

2026-12-28 10:00
14 hours
Seoul - Gran Seoul
₩ 5000000 (Online)
₩ 10000000 (Classroom)

Shiny App Web Development with R

2027-01-11 10:00
14 hours
Seoul Center 1
₩ 5000000 (Online)
₩ 10000000 (Classroom)

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