Creating histograms with Incanter

Histograms are useful when we want to see the distribution of data. They are even effective with continuous data. In a histogram, the data is divided into a limited number of buckets, commonly 10, and the number of items in each bucket is counted. Histograms are especially useful for finding how much data are available for various percentiles. For instance, these charts can clearly show how much of your data was in the 90th percentile or lower.

Getting ready

We'll use the same dependencies in our project.clj file as we did in Creating scatter plots with Incanter.

We'll use this set of imports in our script or REPL:

(require '[incanter.core :as i]
         '[incanter.charts :as c]
         'incanter.datasets)

For this recipe, we'll use the iris dataset that we used in Creating scatter plots in Incanter:

 (def iris (incanter.datasets/get-dataset :iris))

How to do it...

As we did in the previous recipes, we just create the graph and display...