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 :
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.
The sample scatterD3 shiny app allows you to see the different features described here. You can check its source code on GitHub 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 :
npm install
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()
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