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Clojure for Data Science

You're reading from   Clojure for Data Science Statistics, big data, and machine learning for Clojure programmers

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Product type Paperback
Published in Sep 2015
Publisher
ISBN-13 9781784397180
Length 608 pages
Edition 1st Edition
Languages
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Author (1):
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Henry Garner Henry Garner
Author Profile Icon Henry Garner
Henry Garner
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Table of Contents (12) Chapters Close

Preface 1. Statistics FREE CHAPTER 2. Inference 3. Correlation 4. Classification 5. Big Data 6. Clustering 7. Recommender Systems 8. Network Analysis 9. Time Series 10. Visualization Index

Download the code and data

In this chapter, we'll return to the data we used in the very first chapter of this book: data from the 2011 Russian election. Back, in Chapter 1, Statistics, we used a scatter plot with transparency to visualize the relationship between voter turnout and the victor's percentage of the vote. In this chapter, we'll produce code to render the data as a two-dimensional histogram.

We'll also be making use of the data on the distribution of wealth in the United States. This data is so small that we won't have anything to download: we'll type the figures directly into the source code.

Note

The source code for this chapter is available at https://github.com/clojuredatascience/ch10-visualization.

The example code for this chapter contains a script to download the election data we used in Chapter 1, Statistics. Once you've downloaded the source code, you can execute the script by running the following command line from within the project...

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