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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

jStat


As ClojureScript compiles to JavaScript, we can't make use of the libraries that have Java dependencies. Incanter is heavily reliant on several underlying Java libraries, so we have to find an alternative to Incanter for our browser-based statistical analysis.

Note

While building ClojureScript applications, we can't make use of the libraries that depend on Java libraries, as they won't be available in the JavaScript engine which executes our code.

jStat (https://github.com/jstat/jstat) is a JavaScript statistical library. It provides functions to generate sequences according to specific distributions, including the exponential and t-distributions.

To use it, we have to make sure it's available on our webpage. We can do this either by linking it to a remote content distribution network (CDN) or by hosting the file ourselves. The advantage of linking it to a CDN is that visitors, who previously downloaded jStat for another website, can make use of their cached version. However, since our...

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