R generate 2D histogram from raw data

Question

I have some raw data in 2D, x, y as given below. I want to generate a 2D histogram from the data. Typically, dividing the x,y values into bins of size 0.5, and count the number

Answer 1

Bivariate density estimates can be done with MASS::kde2d, or KernSmooth::bkde2D (both supplied with the base R distribution). The latter uses an algorithm based on the fast Fourier transform over a grid of points, and is very fast. The result can be plotted with contour or persp or similar functions in other graphing packages.

Using your data:

require(KernSmooth)
z <- bkde2D(df, .5)
persp(z$fhat)