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Clojure Data Analysis Cookbook - Second Edition

You're reading from   Clojure Data Analysis Cookbook - Second Edition Dive into data analysis with Clojure through over 100 practical recipes for every stage of the analysis and collection process

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Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781784390297
Length 372 pages
Edition 2nd Edition
Languages
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Author (1):
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Eric Richard Rochester Eric Richard Rochester
Author Profile Icon Eric Richard Rochester
Eric Richard Rochester
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Toc

Table of Contents (14) Chapters Close

Preface 1. Importing Data for Analysis FREE CHAPTER 2. Cleaning and Validating Data 3. Managing Complexity with Concurrent Programming 4. Improving Performance with Parallel Programming 5. Distributed Data Processing with Cascalog 6. Working with Incanter Datasets 7. Statistical Data Analysis with Incanter 8. Working with Mathematica and R 9. Clustering, Classifying, and Working with Weka 10. Working with Unstructured and Textual Data 11. Graphing in Incanter 12. Creating Charts for the Web Index

Customizing charts with JFreeChart

Incanter's chart API is easy to use and provides a powerful wrapper around JFreeChart (http://www.jfree.org/jfreechart/). However, it doesn't expose JFreeChart's full variety of chart types or all the options that JFreeChart provides. In order to access those, we have to dive from Incanter's API into the JFreeChart objects. Fortunately, that's quite easy to do. Let's see how.

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)
(import org.jfree.chart.renderer.category.LayeredBarRenderer
        org.jfree.util.SortOrder)

We'll use the Iris dataset again. Here's how to load it in Incanter:

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

How to do it...

For this recipe, we'll create...

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