Visualise the value of data values

Visualise all of the values in the data on a 0 to 1 scale. Only works on numeric data - see examples for how to subset to only numeric data.

Usage

vis_value(data, na_colour = "grey90", viridis_option = "D")

Arguments

data

a data.frame

na_colour

a character vector of length one describing what colour you want the NA values to be. Default is "grey90"

viridis_option

A character string indicating the colormap option to use. Four options are available: "magma" (or "A"), "inferno" (or "B"), "plasma" (or "C"), "viridis" (or "D", the default option) and "cividis" (or "E").

Value

a ggplot plot of the values

Examples

vis_value(airquality)

vis_value(airquality, viridis_option = "A")

vis_value(airquality, viridis_option = "B")

vis_value(airquality, viridis_option = "C")

vis_value(airquality, viridis_option = "E")

if (FALSE) {
library(dplyr)
diamonds %>%
  select_if(is.numeric) %>%
  vis_value()
}