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

Modeling linear relationships


When doing data analysis, often we look for relationships in our data. Does one variable affect another? If we have more of one thing, do we have less of something else? Does, say, a person's body mass index (BMI) have a relationship to his/her longevity? This isn't always obvious just by looking at a graph. A relationship that seems obvious to our eyes may not be significant.

Linear regression is a way of finding a linear formula that matches the relationship between an independent variable (the BMI) and a dependent variable (longevity). It also tells us how well that formula explains the variance in the data and how significant that relationship is.

Getting ready

For this, we'll need the following dependencies:

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

We'll use the following set of requirements:

(require
  '[incanter.core :as i]
  'incanter.io
  '[incanter.stats :as s]
  '[incanter.charts :as c])

And we'll use the Virginia...