Working with the Seaborn library

A box plot, also called a whiskers chart, is a graph that uses simple dispersion and position indexes to describe the distribution of a sample. A box plot can be depicted either horizontally or vertically, by means of a rectangular partition divided by two segments. The rectangle (box) is delimited by the first quartile (the 25^th percentile) and the third quartile (the 75^th percentile), and is divided by the median (the 50^th percentile).

Getting ready

In this recipe, we will draw a box plot to show the distribution of the predictors contained in the Boston dataset, which we already used in the Estimating housing prices recipe in Chapter 1, The Realm of Supervised Learning.

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