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

Selecting columns with $


Often we need to cut down the data to make it more useful. One common transformation is to pull out all the values from one or more columns into a new dataset. This can be useful for generating summary statistics or aggregating the values of some columns.

The Incanter macro $ slices out parts of a dataset. In this recipe, we'll see this in action.

Getting ready

For this recipe, we'll need to have Incanter listed in our project.clj file:

:dependencies [[org.clojure/clojure "1.4.0"]
               [incanter "1.4.1"]]

We'll also need to include incanter.core and incanter.io in our script or REPL.

(use '(incanter core io))

We'll also need some data. This time we'll use the race data from the US census data available at http://censusdata.ire.org/. However, instead of using the data for one state we'll use all states' data. These have to be downloaded separately and joined together. I've already done this, and the file is available for download at http://www.ericrochester.com...