WebGL vs SVG in R

Recent versions of the R package include the toWebGL() function, which converts any eligible SVG graph into a WebGL plot. With WebGL, we can render way more elements in the browser.

WebGL with 50,000 points

library(plotly)
p <- ggplot(data = diamonds, aes(x = carat, y = price, color = cut)) +
  geom_point(alpha = 0.01)
fig <- ggplotly(p)
fig <- fig %>% toWebGL()

fig

More examples

• Compare SVG performance to WebGL
• WebGL with 1 million points
• WebGL for time series ### What About Dash?

Dash for R is an open-source framework for building analytical applications, with no Javascript required, and it is tightly integrated with the Plotly graphing library.

Learn about how to install Dash for R at https://dashr.plot.ly/installation.

Everywhere in this page that you see fig, you can display the same figure in a Dash for R application by passing it to the figure argument of the Graph component from the built-in dashCoreComponents package like this:

library(plotly)

fig <- plot_ly() 
# fig <- fig %>% add_trace( ... )
# fig <- fig %>% layout( ... ) 

library(dash)
library(dashCoreComponents)
library(dashHtmlComponents)

app <- Dash$new()
app$layout(
    htmlDiv(
        list(
            dccGraph(figure=fig) 
        )
     )
)

app$run_server(debug=TRUE, dev_tools_hot_reload=FALSE)