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Clojure for Data Science

You're reading from  Clojure for Data Science

Product type Book
Published in Sep 2015
Publisher
ISBN-13 9781784397180
Pages 608 pages
Edition 1st Edition
Languages
Author (1):
Henry Garner Henry Garner
Profile icon Henry Garner

Table of Contents (18) Chapters

Clojure for Data Science
Credits
About the Author
Acknowledgments
About the Reviewer
www.PacktPub.com
Preface
1. Statistics 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.com for more information on the topics...

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