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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

Chapter 8. A/B Testing – Statistical Experiments for the Web

One of the most common uses of statistics on the Internet right now is A/B testing. This acts as an aid to design and increase interactions with users in a data-driven way. It's used all over the Web, and there have been some high-profile instances of these techniques being written about in blogs and articles online. For instance, there were several descriptions of how Baraka Obama's 2012 US Presidential campaign used A/B testing to increase both donations and how many people signed up for the e-mail updates.

Over the course of this chapter, we'll look at the following topics:

  • Defining A/B testing

  • Conducting an A/B test

  • Analyzing the results

By the end, we'll have simulated a small A/B test to measure a click-through on two different versions of text for a button.

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