A/B Testing – Statistical Experiments for the Web | Mastering Clojure Data Analysis

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Mastering Clojure Data Analysis

By : Eric Richard Rochester

4.2 (5)

Mastering Clojure Data Analysis

4.2 (5)

By: Eric Richard Rochester

Overview of this book

Mastering Clojure Data Analysis

Mastering Clojure Data Analysis

Credits

Credits

About the Author

About the Author

About the Reviewers

About the Reviewers

www.PacktPub.com

www.PacktPub.com

Preface

Preface

Free Chapter

Network Analysis – The Six Degrees of Kevin Bacon

Network Analysis – The Six Degrees of Kevin Bacon

Analyzing social networks

Getting the data

Understanding graphs

Implementing the graphs

Measuring social network graphs

Visualizing the graph

Summary

GIS Analysis – Mapping Climate Change

GIS Analysis – Mapping Climate Change

Understanding GIS

Mapping the climate change

Working with map projections

Working with ArcGIS

Summary

Topic Modeling – Changing Concerns in the State of the Union Addresses

Topic Modeling – Changing Concerns in the State of the Union Addresses

Understanding data in the State of Union addresses

Understanding topic modeling

Preparing for visualizations

Setting up the project

Getting the data

Summary

Classifying UFO Sightings

Classifying UFO Sightings

Getting the data

Extracting the data

Dealing with messy data

Visualizing UFO data

Description

Topic modeling descriptions

Hoaxes

Summary

Benford's Law – Detecting Natural Progressions of Numbers

Benford's Law – Detecting Natural Progressions of Numbers

Learning about Benford's Law

Failing Benford's Law

Case studies

Summary

Sentiment Analysis – Categorizing Hotel Reviews

Sentiment Analysis – Categorizing Hotel Reviews

Understanding sentiment analysis

Getting hotel review data

Exploring the data

Preparing the data

Cross-validating the results

Calculating error rates

Using the Weka machine learning library

Running the experiment

Examining the results

Improving the results

Summary

Null Hypothesis Tests – Analyzing Crime Data

Null Hypothesis Tests – Analyzing Crime Data

Introducing confirmatory data analysis

Understanding null hypothesis testing

Understanding burglary rates

Exploring the data

Conducting the experiment

Interpreting the results

Summary

A/B Testing – Statistical Experiments for the Web

A/B Testing – Statistical Experiments for the Web

Defining A/B testing

Conducting an A/B test

Summary

Analyzing Social Data Participation

Analyzing Social Data Participation

Setting up the project

Summary

Modeling Stock Data

Modeling Stock Data

Learning about financial data analysis

Setting up the basics

Getting prepared with data

Analyzing the text

Inspecting the stock prices

Merging text and stock features

Analyzing both text and stock features together with neural nets

Predicting the future

Taking it with a grain of salt

Summary

Index

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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83

Tech Concepts

36

Programming languages

73

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