visdat (version 0.5.3)

vis_dat: Visualises a data.frame to tell you what it contains.

Description

vis_dat gives you an at-a-glance ggplot object of what is inside a dataframe. Cells are coloured according to what class they are and whether the values are missing. As vis_dat returns a ggplot object, it is very easy to customize and change labels, and customize the plot

Usage

vis_dat(x, sort_type = TRUE, palette = "default",
  warn_large_data = TRUE, large_data_size = 9e+05)

Value

ggplot2 object displaying the type of values in the data frame and the position of any missing values.

Arguments

x

a data.frame object

sort_type

logical TRUE/FALSE. When TRUE (default), it sorts by the type in the column to make it easier to see what is in the data

palette

character "default", "qual" or "cb_safe". "default" (the default) provides the stock ggplot scale for separating the colours. "qual" uses an experimental qualitative colour scheme for providing distinct colours for each Type. "cb_safe" is a set of colours that are appropriate for those with colourblindness. "qual" and "cb_safe" are drawn from http://colorbrewer2.org/.

warn_large_data

logical - warn if there is large data? Default is TRUE see note for more details

large_data_size

integer default is 900000, this can be changed. See note for more details

See Also

vis_miss() vis_guess() vis_expect() vis_cor() vis_compare()

Examples

vis_dat(airquality)

if (FALSE) {
# experimental colourblind safe palette
vis_dat(airquality, palette = "cb_safe")
vis_dat(airquality, palette = "qual")

# if you have a large dataset, you might want to try downsampling:
library(nycflight13)
library(dplyr)
flights %>%
  sample_n(1000) %>%
  vis_dat()

flights %>%
  slice(1:1000) %>%
  vis_dat()

}