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Practical Data Analysis

You're reading from  Practical Data Analysis

Product type Book
Published in Oct 2013
Publisher Packt
ISBN-13 9781783280995
Pages 360 pages
Edition 1st Edition
Languages
Author (1):
Hector Cuesta Hector Cuesta
Profile icon Hector Cuesta
Toc

Table of Contents (24) Chapters close

Practical Data Analysis
Credits
Foreword
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
1. Getting Started 2. Working with Data 3. Data Visualization 4. Text Classification 5. Similarity-based Image Retrieval 6. Simulation of Stock Prices 7. Predicting Gold Prices 8. Working with Support Vector Machines 9. Modeling Infectious Disease with Cellular Automata 10. Working with Social Graphs 11. Sentiment Analysis of Twitter Data 12. Data Processing and Aggregation with MongoDB 13. Working with MapReduce 14. Online Data Analysis with IPython and Wakari Setting Up the Infrastructure Index

The anatomy of Twitter data


Twitter is a social networking website, which provides a micro-blogging service for sharing text messages up to 140 characters (or tweets). We can retrieve a variety of data from Twitter such as tweets, followers, favorites, direct messages, and trending topics.

We can create a new Twitter account using the following link:

http://twitter.com

Tweet

Tweet is the name of the 140-character long text message. However, we can get more information than the text message itself such as date and time, links, user mentions (@), hash tags (#), retweets count, locale language, favorites count, and geocode. In the following screenshot, we can observe a tweet retweeted 1001 times, marked as favorite 336 times with a hashtag (#NBAFinals) and user mentions (@Spurs and @MiamiHEAT):

Followers

The users on Twitter can follow other users creating a directed graph (See Chapter 10, Working with Social Graphs) with a lot of possibilities for analysis such as centrality and community clustering...

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