Interactive Visualisation in R
|Royal Statistical Society|
20/04/2021 - 21/04/2021
12 Errol Street
View in Google Maps (EC1Y 8LX)
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.
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.
A working knowledge of R is assumed. For inexperienced users you’re recommended to study the free Intro to R course here: https://campus.datacamp.com/courses/free-introduction-to-r/chapter-1-intro-to-basics-1
The RSS also runs a two-day foundation level R course called 'Introduction to R and Regression Modelling in R.'
Intermediate (some prior knowledge)
£588 - £816 (inc VAT)
Website and registration
Qualitative Data Handling and Data Analysis, Python, Interactive Visualisation , RMarkdown , htmlwidgets , Shiny
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