So far, all the recipes in this chapter have only created one type of chart. Incanter also lets us combine chart types. This allows us to layer on extra information and create a more useful, compelling chart. In fact, showing the interaction between the raw data and the output of a machine-learning algorithm is a common use for overlaying lines onto scatter plots.
In this recipe, we'll take the chart from the Creating scatter plots with Incanter recipe and add a line from a linear regression.
We'll use the same dependencies in our project.clj file as we did in the Creating scatter plots with Incanter recipe with Incanter.
We'll use the following set of imports in our script or REPL:
(require '[incanter.core :as i]
'[incanter.charts :as c]
'[incanter.io :as iio]
'[incanter.stats :as s])We'll start with the chart we made in the Creating scatter plots with Incanter recipe. We'll keep it assigned to the iris-petal-scatter variable...