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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 9. Analyzing Social Data Participation

Social networks and websites have revolutionized the Internet. Most people online participate in some social network, either it's Facebook, Twitter, Pinterest, GitHub, StackOverflow, or any of the zillion other social networking websites that have sprung up. They're an important way for people to connect and stay in contact, but they're also a major source of data about people's relationships and activities.

Analyzing this data is important for a number of reasons. Of course, advertisers and marketers want to squeeze as much information out of the data as they can. But if you're running the social network, you'll want to analyze the data to figure out what's working and what's falling flat. You want to ask yourself constantly what you can do to engage users better and to make your social network a more compelling, enjoyable, or useful experience for your users.

Over the course of this chapter, we'll get an open data dump from the StackExchange...

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