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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

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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