Interactive dashboards & web apps using R & Shiny

Description:

Level: Intermediate (I)

This course will introduce how to create interactive dashboards and web applications using R and Shiny. The first day will focus on the core components of a Shiny app; inputs, outputs and how to send data between the client and server. It will also cover how to design responsive webs applications that seamlessly work on mobile devices. By the end of the day you'll be able to design and deploy a Shiny app from your local machine to shinyapps.io.
The second day of the course will cover the following advanced topics:

• Using reactive expressions to control when and where a Shiny app updates
• Designing data-driven controls through the use of reactive expressions.
• Embedding interactive charts/maps/tables using the following htmlwidget libraries; leaflet, highcharter and DT.
• Allow users to download files/images from a Shiny app
• Advice and guidance on structuring large/complex Shiny apps

Learning Outcomes

• Confidently design user interfaces in Shiny with appropriately selected controls/inputs
• Understand reactivity to effectively update outputs based on specific inputs
• Design responsive Shiny apps that work on both desktop and mobile devices
• Confidently embed htmlwidgets into Shiny apps and extract user interactions (click/touch)
• Effectively structure your code in Shiny apps to simplify growing your app with additional content.

Topics Covered

R, Data Visualisation, Shiny, Data Presentation and Exploratory Data Analysis
 

Knowledge Assumed

Familiarity with the R language is required as a number of fairly complicated concepts will be introduced in this course:

• Reactive expressions

• Controlling how data moves between the client and server

• Deploying Shiny apps to the web

Cost:

Prices from £668.40 to £926.40 (inc.VAT)

Website and registration:

Region:

Greater London

Keywords:

Quantitative Data Handling and Data Analysis, Shiny, htmlwidget, R, Data Visualisation, Data Presentation, Exploratory Data Analysis

Related publications and presentations from our eprints archive:

Quantitative Data Handling and Data Analysis

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