Let us suppose that I have a set of N points described by x-y couples, i.e., I have a table such that, for example, table[[4]]={0.234,0.678}.
For every element of the table, both x and y are comprised between 0 and 1.
The points in the table are not uniformly distributed, but they are a lot, say 10^9, so that doing ListPlot[table] simply gives a graph that does not give any information about the actual distribution of the points since they amass.
What is the best way to obtain a numerical distribution graph based on the sample I have? I want to do an x-y colored graph in which the color of each point is linked to the probability of obtaining a random point around the point in the graph, preferably in the Log10 scale. If I could plot in this way the numerical Probability Density Function it would be the best thing.
Thank you all for the answers!
DensityHistogram? – march Feb 13 '20 at 16:40EmpiricalDistribution,HistogramDistribution,SmoothKernelDistribution, andFindDistribution– Bob Hanlon Feb 13 '20 at 18:45