Interactive Dashboards with R Shiny

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Audience
Prerequisites
Topics
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Standard Course

£350 +VAT

per delegate

Course duration: 1 Day

After the course, attendees will have an extensive knowledge of the Shiny web application structure, be able to create interactive dashboards, customize the application’s look and deploy the finished Shiny application on a variety of platforms.

Who is it for?

R users who wish to build interactive web applications using Shiny.

Prerequisites

The course is designed for experienced R users with knowledge of the base R language, the Tidyverse packages, and the ggplot2 visualization package. Additionally, they should be comfortable with writing user functions and control flow statements such as for loops and if statements.

What you will learn

About R Shiny

Use case examples of R Shiny for different business scenarios
Structure of a Shiny web application
- What is server function and what is user interface (ui)
- Explain server function – ui interaction using examples
  - Text
  - Plot
  - Input options
Introducing course case study
- A dashboard that analyses stock data/pharma data (can be decided later)
- Create a basic dashboard with a header, text and a plot

Plan your dashboard

Dashboard Inputs

What is the input argument
Text input
Numeric inputs
Dates
Set lists and choices
File uploads

Dashboard Outputs

textOutput
plotOutput
tableOutput

Customize dashboard layout

fluidRow() and column()
What’s happening under the wraps (very basic explanation)

Deeper dive into the server function

What is the output argument

Dashboard Outputs

Render text
Render tables
Render plot

About reactive programming

reactive components in R Shiny

Plan a dashboard with reactive conductors

Creating reactive expressions with reactive() and reactiveValues()
Create reactive observers with observe(), observeEvent()
Create different action buttons:
- bindEvent()
- Observe() and reactiveEvent()
Controlling reactivity with isolate() and scheduled executions

Data masking and the use to Tidyverse packages in R Shiny

Downloading Dashboard contents

Embedding images

Referencing CSS style file

Common Add-on packages

Quick demo of the commonly used add-on packages for layout customization
- Shinydashboard and/or bs4Dash
- Fresh
- bslib
- Shinywidgets

Publishing on shonyapps.io
Publishing on Posit Connect
of ggplot2 and dplyr packages