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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 :


Or from Github for the latest development version :



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.

Shiny integration

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.

Development notes

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 :


If you want to ship a minimized production version, use :



This package has been made possible by :