I'm quite new in R and I'm struggling overlaying a filled histogram divided in 6 classes and a KDE based on the whole distribution (not the individual distribut
I've generated a seaborn kdeplot using latitude and longitude of a crime dataset of Chicago and I want to stack it over a real map of the city, which python lib
I've generated a seaborn kdeplot using latitude and longitude of a crime dataset of Chicago and I want to stack it over a real map of the city, which python lib
I want to determine the X value that has the highest pick in the histogram. The code to print the histogram: fig=sns.displot(data=df, x='degrees', hue="TYPE", k
I am trying to calculate the kernel density estimate for a set of weighted bivariate data points. I am currently using KDEpy.FFTKDE. However, this does not prov