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 Duration 14 hours

Course Outline

Introduction to Shiny

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

UI and Server Architecture

  • Understanding the ui.R and server.R components
  • Utilising fluidPage(), sidebarLayout(), and other layout functions
  • Structuring inputs and outputs

Reactivity and Dynamic Interactions

  • Reactive expressions and observers
  • Managing application behaviour through reactive inputs
  • Diagnosing and resolving reactivity issues

Data Visualisation and Reporting

  • Integrating ggplot2 and plotly into Shiny apps
  • Constructing reactive tables using DT or reactable
  • Generating downloadable reports with rmarkdown

Advanced UI and Customisation

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

Deployment and Hosting

  • Deploying applications to Posit Cloud or Shinyapps.io
  • Running applications locally and on Shiny Server
  • Managing dependencies and version control

Case Study and Application Design

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

Target Audience

  • Data analysts and scientists
  • R developers looking to create interactive dashboards
  • Researchers and educators seeking to present 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

Provisional Upcoming Courses (Require 5+ participants)

Shiny App Web Development with R

2026-11-20 09:30
14 hours
Te Pou Toetoe Linwood
5480 NZD (Online)
12980 NZD (Classroom)

Shiny App Web Development with R

2026-12-04 09:30
14 hours
Auckland, ANZ Centre
5480 NZD (Online)
14280 NZD (Classroom)

Shiny App Web Development with R

2026-12-18 09:30
14 hours
Wellington, Plimmer Towers
5480 NZD (Online)
12980 NZD (Classroom)

Shiny App Web Development with R

2027-01-01 09:30
14 hours
Te Pou Toetoe Linwood
5480 NZD (Online)
12980 NZD (Classroom)

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