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Mastering Clojure Data Analysis

You're reading from   Mastering Clojure Data Analysis If you'd like to apply your Clojure skills to performing data analysis, this is the book for you. The example based approach aids fast learning and covers basic to advanced topics. Get deeper into your data.

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Product type Paperback
Published in May 2014
Publisher
ISBN-13 9781783284139
Length 340 pages
Edition Edition
Languages
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Author (1):
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Eric Richard Rochester Eric Richard Rochester
Author Profile Icon Eric Richard Rochester
Eric Richard Rochester
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Toc

Table of Contents (17) Chapters Close

Mastering Clojure Data Analysis
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Network Analysis – The Six Degrees of Kevin Bacon FREE CHAPTER 2. GIS Analysis – Mapping Climate Change 3. Topic Modeling – Changing Concerns in the State of the Union Addresses 4. Classifying UFO Sightings 5. Benford's Law – Detecting Natural Progressions of Numbers 6. Sentiment Analysis – Categorizing Hotel Reviews 7. Null Hypothesis Tests – Analyzing Crime Data 8. A/B Testing – Statistical Experiments for the Web 9. Analyzing Social Data Participation 10. Modeling Stock Data Index

Setting up the basics


Before we really dig into the project and the data, we need to prepare. We'll set up the code and the library, and then we'll download the data.

Setting up the library

First, we'll need to initialize the library. We can do this using Leiningen 2 (http://leiningen.org/) and Stuart Sierra's reloaded plugin for it (https://github.com/stuartsierra/reloaded). This will initialize the development environment and project.

To do this, just execute the following command at the prompt (I've named the project financial in this case):

lein new reloaded financial

Now, we can specify the libraries that we'll need to use. We can do this in the project.clj file. Open it and replace its current contents with the following lines:

(defproject financial "0.1.0-SNAPSHOT":dependencies [[org.clojure/clojure "1.5.1"][org.clojure/data.xml "0.0.7"][org.clojure/data.csv "0.1.2"][clj-time "0.6.0"][me.raynes/fs "1.4.4"][org.encog/encog-core "3.1.0"][enclog "0.6.3"]]:profiles
  {:dev {:dependencies...
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