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)
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. |
ggplot2
object displaying the type of values in the data frame and
the position of any missing values.
vis_dat(airquality)# experimental colourblind safe palette vis_dat(airquality, palette = "cb_safe")vis_dat(airquality, palette = "qual")