Introducing StatsPlots

Before describing different statistical plots, let’s introduce the main Julia package we will use in this chapter: the StatsPlots package. It defines plotting recipes to create statistical plots using the Plots package. It also adds the @df macro to support the DataFrames package. Furthermore, the StatsPlots package offers type recipes for some of the types defined on packages from the JuliaStats organization. Among those, we can find the Clustering, Distributions, and MultivariateStats packages. For example, we can call the plot function on a Cauchy object from the Distributions package to plot our Cauchy distribution. We will learn more about type recipes in Chapter 14, Designing Your Own Plots – Plot Recipes.  Let’s explore the syntax and basic features of the StatsPlots package using the Iris dataset and Pluto:

1. Create a new Pluto notebook and execute using RDatasets in the first cell.
2. In a new cell, execute iris...