In the context of this lesson, what is each type of plot in Seaborn used for?
KDE plots are used to get the probability density of a random variable. Like histograms, they are used to show us the distribution of a dataset. However, they provide a smoother visualization than histograms. The area under any two points in a KDE plot is the probability that a value falls between those two points.
Box plots tell us how a dataset is distributed. They show us the range of all the values in the dataset, and provide us a clear visualization of the five number summary, by including the first quartile, median, third quartile, outliers and the minimum and maximum, which may or may not be outliers.
These are similar to box plots, but also show the KDE of the dataset on the plots, in addition to the interquartile range and median, within a 95% confidence interval. Because these show a lot of information, violin plots are used quite often.