...

/

Kernel Density Estimation

Kernel Density Estimation

Learn how to add kernel density estimation to an Altair chart.

Kernel density estimation (KDE) is a statistical method used to estimate the probability density function of a random variable based on a set of observed data points. In simpler terms, KDE creates a smooth curve approximating the distribution of a dataset, which can help us better understand ...