Customising colour palettes in visdat

In visdat: Preliminary Visualisation of Data

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

library(visdat)

How to provide your own colour palette?

This vignette shoes you how to provide your own colour palette with visdat.

A visdat plot is a ggplot object - so we can use the tools from ggplot to tinker with colours. In this case, that is the scale_fill_manual function.

A "standard" visdat plot might be like so:

vis_dat(typical_data)

You can name the colours yourself like so (after first loading the ggplot package.

library(ggplot2)
vis_dat(typical_data) +
  scale_fill_manual(
    values = c(
      "character" = "red",
      "factor" = "blue",
      "logical" = "green",
      "numeric" = "purple",
      "NA" = "gray"
  ))

This is a pretty, uh, "popping" set of colours? You can also use some hex colours instead.

Say, taken from palette():

palette()

vis_dat(typical_data) +
  scale_fill_manual(
    values = c(
      "character" = "#61D04F",
      "factor" = "#2297E6",
      "logical" = "#28E2E5",
      "numeric" = "#CD0BBC",
      "NA" = "#F5C710"
  ))

How can we get nicer ones?

Well, you can use any of ggplot's scale_fill_* functions from inside ggplot2

For example:

vis_dat(typical_data) +
  scale_fill_brewer()

vis_dat(typical_data) +
  scale_fill_viridis_d()

Happy colour palette exploring! You might want to take a look at some of the following colour palettes from other packages:

• scico
• colorspace
• wesanderson

visdat documentation built on Feb. 16, 2023, 5:53 p.m.