Variable kernel density estimation

Variable kernel density estimation is a way to estimate the "shape" of a particular set of data points. It does this by using a "kernel," which is a mathematical formula that describes the data's behavior. Essentially, it chooses the best possible way of fitting the data points together. This is useful because it can give us an idea of how the data is distributed, and allow us to understand it a bit more.