Level: Intermediate (I)
This virtual course will introduce how to create interactive dashboards and web applications using R and Shiny.
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
- 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.
R, Data Visualisation, Shiny, Data Presentation and Exploratory Data Analysis
Familiarity with the R language is required as a number of fairly complicated concepts will be introduced in this course:
Charlie Hadley is currently a Research Technology Specialist at Oxford University specialising in data visualisation, as well as being a content creator for Lynda.com. Her background is in biophysics and statistical computing, completing her MPhys at University of Leeds and a short research post at University of Birmingham on biomineralisation.
Charlie was a senior technology consultant at Wolfram Research for 3 years working primarily on finance and HR projects, in addition to consulting for the Estonian ComputerBasedMath.org project.
At Oxford University, Charlie is helping to launch a data visualisation service for researchers. Initially this service exclusively provides Shiny consultative support, but further technologies will be added in the future as the team grows.
30 May 2021
30 May 2021
RSS CStat/Gradstat also MIS & FIS