Loading Incanter's sample datasets
Incanter comes with a set of default datasets that are useful for exploring Incanter's functions. I haven't made use of them in this book, since there is so much data available in other places, but they're a great way to get a feel of what you can do with Incanter. Some of these datasets—for instance, the Iris dataset—are widely used to teach and test statistical algorithms. It contains the species and petal and sepal dimensions for 50 irises. This is the dataset that we'll access today.
In this recipe, we'll load a dataset and see what it contains.
Getting ready
We'll need to include Incanter in our Leiningen project.clj file:
(defproject inc-dsets "0.1.0"
:dependencies [[org.clojure/clojure "1.6.0"]
[incanter "1.5.5"]])We'll also need to include the right Incanter namespaces into our script or REPL:
(use '(incanter core datasets))
How to do it…
Once the namespaces are available, we can access the datasets easily:
user=> (def iris (get-dataset...
