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 Duration 14 hours

Course Outline

Introduction to Shiny

  • Overview of Shiny and its operational principles
  • Installation processes and initial configuration
  • Reviewing Shiny examples and the community gallery

UI and Server Architecture

  • Analyzing the components of ui.R and server.R
  • Utilizing fluidPage(), sidebarLayout(), and other layout functions
  • Structuring input controls and output displays

Reactivity and Dynamic Interactions

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

Data Visualization and Reporting

  • Incorporating ggplot2 and plotly into Shiny apps
  • Creating responsive tables using DT or reactable
  • Producing downloadable reports with rmarkdown

Advanced UI and Customization

  • Implementing tabs, conditional panels, and modal dialogs
  • Applying custom CSS and theme adjustments
  • Utilizing Shiny modules to enhance code reusability

Deployment and Hosting

  • Releasing apps to Posit Cloud or Shinyapps.io
  • Executing apps locally and via Shiny Server
  • Handling package dependencies and version control

Case Study and Application Design

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

Summary and Next Steps

Requirements

  • Proficiency in R programming
  • Practical experience in data analysis or visualization
  • Knowledge of HTML and CSS is beneficial but not mandatory

Target Audience

  • Data analysts and scientific researchers
  • R developers aiming 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

2026-11-09 09:30
14 hours
Thessaloniki
608 EUR (Online)
608 EUR (Classroom)

Shiny App Web Development with R

2026-11-23 09:30
14 hours
Nicosia
608 EUR (Online)
608 EUR (Classroom)

Shiny App Web Development with R

2026-12-07 09:30
14 hours
Nicosia
608 EUR (Online)
1008 EUR (Classroom)

Shiny App Web Development with R

2026-12-21 09:30
14 hours
Athens
608 EUR (Online)
1008 EUR (Classroom)

Shiny App Web Development with R

2027-01-04 09:30
14 hours
Kaminia
608 EUR (Online)
1008 EUR (Classroom)

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