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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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Toc

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

Summary

In this chapter, we've seen how very simple visualizations—using nothing but colored rectangles—can bring useful insight from data, and how a combination of Clojure core functions and Quil's drawing API can enable us to generate powerful graphics that communicate a message.

We achieved all of this using the Quil library. There's much more to Quil than what we've shown here: it enables interactive animation, it supports ClojureScript output for the web, and it can produce 3D rendering as well. Visualization is a huge topic too, and we couldn't hope to provide more than a few examples to pique your interest in this chapter. By showing how even basic drawing instructions using rectangles, curves, and SVGs can combine into powerful graphics, we hope to have inspired you with the possibilities to create your own custom visualizations.

This was the final chapter of Clojure for Data Science. Be sure to visit the book's website at http://clojuredatascience...

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