Book Image

Clojure Data Analysis Cookbook

By : Eric Rochester
Book Image

Clojure Data Analysis Cookbook

By: Eric Rochester

Overview of this book

<p>Data is everywhere and it's increasingly important to be able to gain insights that we can act on. Using Clojure for data analysis and collection, this book will show you how to gain fresh insights and perspectives from your data with an essential collection of practical, structured recipes.<br /><br />"The Clojure Data Analysis Cookbook" presents recipes for every stage of the data analysis process. Whether scraping data off a web page, performing data mining, or creating graphs for the web, this book has something for the task at hand.<br /><br />You'll learn how to acquire data, clean it up, and transform it into useful graphs which can then be analyzed and published to the Internet. Coverage includes advanced topics like processing data concurrently, applying powerful statistical techniques like Bayesian modelling, and even data mining algorithms such as K-means clustering, neural networks, and association rules.</p>
Table of Contents (18 chapters)
Clojure Data Analysis Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Parallelizing processing with Incanter


In the coming chapters, many recipes will feature Incanter. One of its nice features is that it uses the Parallel Colt Java library (http://sourceforge.net/projects/parallelcolt/) to actually handle its processing, so when you use a lot of the matrix, statistical, or other functions, they're automatically executed on multiple threads.

For this, we'll revisit the Virginia housing-unit census data from the Managing program complexity with STM recipe. This time, we'll fit it to a linear regression.

Getting ready

We'll need to add Incanter to our list of dependencies in our Leiningen project.clj file:

:dependencies [[org.clojure/clojure "1.5.0"]
               [incanter "1.3.0"]]

We'll also need to pull those libraries into our REPL or script:

(use '(incanter core datasets io optimize charts stats))

And we'll use the data file from the Managing program complexity with STM recipe in Chapter 3, Managing Complexity with Concurrent Programming. We can bind that file...