Performance • plotscaper

While performance wasn’t a number one concern for me when writing plotscaper, I found it can actually perform fairly well on moderately-sized data sets (thanks largely to the work of the very smart people who have optimized JavaScript engines like V8).

If you want to put plotscaper under a stress test, try creating a figure with the entire diamonds dataset from the ggplot2 package:

(the figure below might take a bit to load, please be patient)

library(plotscaper)

url <- "https://raw.githubusercontent.com/bartonicek/plotscape/master/datasets/diamonds.json"

create_schema(url) |>
  add_scatterplot(c("carat", "price")) |>
  add_barplot(c("color")) |>
  set_scale("plot1", "size", mult = 0.1) |>
  render()