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

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

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 default is TRUE

large_data_size

integer default is 900000, this can be changed.

Value

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

See also

vis_miss()

Examples

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