scatterD3
is an HTML R widget for interactive scatter plots visualization. It is based on the htmlwidgets R package and on the d3.js javascript library.
Here is a small preview of what you will get :
The visual guide gives a list of features and examples.
Install from CRAN :
install.packages("scatterD3")
Or from Github for the latest development version :
remotes::install_github("juba/scatterD3")
Quick example of the scatterD3
function based on the mtcars
dataset :
mtcars$names <- rownames(mtcars)
scatterD3(data = mtcars, x = wt, y = mpg, lab = names,
col_var = cyl, symbol_var = am,
xlab = "Weight", ylab = "Mpg", col_lab = "Cylinders",
symbol_lab = "Manual transmission")
See the visual guide for a step-by-step guide and details about the different function arguments.
scatterD3
provides a built-in SVG export of the current widget view. As an HTML widget, you can also include it in an Rmarkdown HTML document while keeping its interactive features.
Like every R HTML widget, shiny integration is straightforward. But as a D3 widget, scatterD3
is updatable : changes in settings or data can be displayed via smooth transitions instead of a complete chart redraw, which can provide interesting visual clues.
Furthermore, scatterD3
provides some additional handlers and callback hooks for a more complete JavaScript interactivity and integration.
You can check the sample scatterD3 shiny app and the visual guide for a better understanding of the different arguments.
This package uses packer to manage JavaScript source code and dependencies. If you want to modify it, you’ll need a working installation of Node.js.
After cloning this repository, run the following in a terminal at the project root :
Then, if you modify the JavaScript code in srcjs
, you’ll have to run the following command to bundle and update the widget JavaScript code :
packer::bundle_dev()
If you want to ship a minimized production version, use :
packer::bundle_prod()
This package has been made possible by :