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Statistics - Interactive Visualisation in R
Royal Statistical Society

11 & 12 May 2026 - Certificate of attendance included!

Summary

Price
£762 - £1,002 inc VAT
Study method
Online + live classes
Duration
2 days · Full-time
Qualification
No formal qualification
Certificates
  • Certificate of Attendance - Free
Additional info
  • Tutor is available to students

Overview

This course will introduce two technologies that will fundamentally change your use of R for data presentation on the web: htmlwidgets and Shiny. It will held on the11 & 12 May 2026

The first half of the course introduces RMarkdown and htmlwidgets, demonstrating how reports with interactive tables, maps and charts can be written and published to the web using RStudio. The second half of the course introduces the basics of Shiny, a web framework for creating sophisticated interactive applications using only the R language.

Certificates

Description

This course will introduce two technologies that will fundamentally change your use of R for data presentation on the web: htmlwidgets and Shiny. The first half of the course introduces RMarkdown and htmlwidgets, demonstrating how reports with interactive tables, maps and charts can be written and published to the web using RStudio. The second half of the course introduces the basics of Shiny, a web framework for creating sophisticated interactive applications using only the R language.

Htmlwidgets and Shiny are thoroughly underused in the R community. This course will show you it is almost trivial to build interactive charts/maps/data tables with htmlwidgets and only slightly trickier to build sophisticated interactive applications with Shiny.


Learning Outcomes

  • Recognise the benefits of analysis and visualisation design in RMarkdown document
  • Select appropriate htmlwidgets for data or analytical results and include them in RMarkdown documents
  • Publish RMarkdown reports to the web with RPubs or Github Pages
  • Produce basic Shiny apps incorporating htmlwidgets and publish them to shinyapps.io


Topics Covered

  • Overview of the RStudio and tidyverse ecosystem
  • Introducing interactive data visualisations with R via htmlwidgets and the pipe operator
  • Incorporating text with code and interactive output using RMarkdown
  • Publishing interactive RMarkdown reports to the web
  • Designing interactive applications in R using Shiny
  • Publishing Shiny applications to shinyapps.io

Who is this course for?

R users who want their audiences to interact and explore their data through interactive visualisations. Or those who wish to provide these interactive tools to others to supplement their analysis. Datasets will range from numerical observations, geolocations to colocation network data, and should therefore be interesting to anyone involved with social, physical or medical science, economics or computer science.

Requirements

A working knowledge of R is assumed.

The RSS also runs a two-day foundation level R course called 'Introduction to R and Regression Modelling in R.'

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Legal information

This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

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