Map data categorical to Cartesian coordinates. Unlike Scale.x_continuous, each unique x value will be mapped to a equally spaced positions, regardless of value.
By default continuous scales are applied to numerical data. If data consists of numbers specifying categories, explicitly adding Scale.x_discrete is the easiest way to get that data to plot appropriately.
labels: Either a
nothing. When a function is given, values are formatted using this function. The function should map a value in
xto a string giving its label.
levels: If non-nothing, give values for the scale. Order will be respected and anything in the data that's not respresented in
levelswill be set to
order: If non-nothing, give a vector of integers giving a permutation of the values pool of the data.
Aesthetics Acted On
# Treat numerical x data as categories plot(x=rand(1:3, 20), y=rand(20), Scale.x_discrete)