Keywords: visualization, interactive
Webpages:
https://CRAN.R-project.org/package=ggiraph,
https://davidgohel.github.io/ggiraph/ With rise of data visualisation,
ggplot2 and
D3.js tools have become very popular these last years. The first is providing an high level library for data visualisation whereas the latter is providing a low level library for binding graphical elements in a web context.
The
ggiraph package combines both tools. From a user point of view, it enables the production of interactive graphics from
ggplot2 objects by using their extension mechanism. It provides useful interactive capabilities such as tooltips and zoom/pan. Last but not least, graphical elements can be selected when a ggiraph object is embedded in a Shiny app: selection will be available as a reactive value. The interface is simple, flexible and does not requires effort to be integrated in R Markdown documents or Shiny applications.
In this talk I will introduce
ggiraph and show examples of using it as a data visualisation tools in RStudio, Shiny applications and R Markdown documents.
