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 Duration 14 hours

Course Outline

Introduction to Shiny

  • Overview of Shiny and its operational mechanics
  • Installation procedures and initial configuration
  • Reviewing Shiny examples and the application gallery

UI and Server Architecture

  • Analyzing the ui.R and server.R components
  • Utilizing fluidPage(), sidebarLayout(), and various layout functions
  • Structuring input and output elements

Reactivity and Dynamic Interactions

  • Implementing reactive expressions and observers
  • Managing application behavior through reactive inputs
  • Troubleshooting reactivity-related issues

Data Visualization and Reporting

  • Embedding ggplot2 and plotly within Shiny applications
  • Creating reactive tables using DT or reactable
  • Producing downloadable reports via rmarkdown

Advanced UI and Customization

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

Deployment and Hosting

  • Publishing applications to Posit Cloud or Shinyapps.io
  • Executing applications locally or via Shiny Server
  • Overseeing 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

Conclusion and Future Directions

Requirements

  • A solid grasp of R programming
  • Practical experience in data analysis or visualization
  • Knowledge of HTML and CSS is advantageous but not mandatory

Target Audience

  • Data analysts and scientists
  • R developers aiming to create interactive dashboards
  • Researchers and educators who visualize data for public or internal stakeholders

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

2026-11-30 09:30
14 hours
Örebro, City Center
2000 EUR (Online)
2400 EUR (Classroom)

Shiny App Web Development with R

2026-12-14 09:30
14 hours
Linköping
2000 EUR (Online)
2400 EUR (Classroom)

Shiny App Web Development with R

2026-12-28 09:30
14 hours
Stockholm, Hötorget
2000 EUR (Online)
2400 EUR (Classroom)

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