Here is a small preview of what you will get :
- The visual guide gives a list of features and examples.
- The sample shiny app allows to live test the package features and its shiny integration.
Install latest stable release from CRAN :
Or from Github for the latest, bleeding edge, full of bugs 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.
Like every R HTML widget, shiny integration is straightforward. But as a D3
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.
scatterD3 provides some additional handlers and callback hooks
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 has been made possible by :