Kernel Density Estimation
Learn how to add kernel density estimation to an Altair chart.
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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 ...