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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

B1


Now that we can generate samples of data in ClojureScript, we'd like to be able to plot them on a histogram. We need a pure Clojure alternative to Incanter that will draw histograms in a web-accessible format; the B1 library (https://github.com/henrygarner/b1) provides just this functionality. The name is derived from the fact that it is adapted and simplified from the ClojureScript library C2, which in turn is a simplification of the popular JavaScript data visualization framework D3.

We'll be using B1's simple utility functions in b1.charts to build histograms out of our data in ClojureScript. B1 does not mandate a particular display format; we could use it to draw on a canvas element or even to build diagrams directly out of the HTML elements. However, B1 does contain functions to convert charts to SVG in b1.svg and these can be displayed in all modern web browsers.

Scalable Vector Graphics

SVG stands for Scalable Vector Graphics and defines a set of tags that represent drawing instructions...

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