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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

Creating histograms with NVD3

To show the distribution of our data, we generally use a histogram. In this recipe, we'll use a histogram to display the distribution of lengths in the abalone dataset.

Getting ready

We'll use the same dependencies and plugins in our project.clj file as we did in the Creating scatter plots with NVD3 recipe. Also, we'll use the framework we've created in the recipes in this chapter upto the Creating scatter plots with NVD3 recipe.

For the data, we'll use the abalone dataset from the Creating histograms with Incanter recipe. I've transformed the data to JSON, and you can download it from http://www.ericrochester.com/clj-data-analysis/data/abalone.json. Save it to the resources/data/ directory in your web application.

How to do it…

We'll create the handler and the routes and then we'll spend most of this recipe in adding the ClojureScript to create the graph. To do this, perform the following steps:

  1. For the handler, we...
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