krst plot

Kernel density estimation (KDE) is a non-parametric way to estimate the probability density function of a random variable. It is commonly used in data analysis and visualization to smooth out data and see underlying patterns more clearly.

Below are some software products that can be used for generating kernel density plots:

If you are looking for alternatives, here are some other software products for generating kernel density plots:

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krst plot