Count number of observation in rectangular bins.


stat_bin2d(mapping = NULL, data = NULL, geom = NULL, position = "identity", bins = 30,
  drop = TRUE, ...)


numeric vector giving number of bins in both vertical and horizontal directions. Set to 30 by default.
if TRUE removes all cells with 0 counts.
The aesthetic mapping, usually constructed with aes or aes_string. Only needs to be set at the layer level if you are overriding the plot defaults.
A layer specific dataset - only needed if you want to override the plot defaults.
The geometric object to use display the data
The position adjustment to use for overlappling points on this layer
other arguments passed on to layer. This can include aesthetics whose values you want to set, not map. See layer for more details.


Count number of observation in rectangular bins.


stat_bin2d understands the following aesthetics (required aesthetics are in bold):

  • x
  • y
  • fill


d <- ggplot(diamonds, aes(carat, price)) d + stat_bin2d()

# You can control the size of the bins by specifying the number of # bins in each direction: d + stat_bin2d(bins = 10)

d + stat_bin2d(bins = 30)

# Or by specifying the width of the bins d + stat_bin2d(binwidth = c(1, 1000))

d + stat_bin2d(binwidth = c(.1, 500))

# Or with a list of breaks x <- seq(min(diamonds$carat), max(diamonds$carat), by = 0.1) y <- seq(min(diamonds$price), max(diamonds$price), length = 50) d + stat_bin2d(breaks = list(x = x, y = y))

# With qplot qplot(x, y, data = diamonds, geom="bin2d", xlim = c(4, 10), ylim = c(4, 10))

qplot(x, y, data = diamonds, geom="bin2d", binwidth = c(0.1, 0.1), xlim = c(4, 10), ylim = c(4, 10))

See also

stat_binhex for hexagonal binning