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Mastering Clojure Data Analysis

You're reading from  Mastering Clojure Data Analysis

Product type Book
Published in May 2014
Publisher
ISBN-13 9781783284139
Pages 340 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Eric Richard Rochester Eric Richard Rochester
Profile icon Eric Richard Rochester
LinkedIn
Eric Richard Rochester Studied medieval English literature and linguistics at UGA. Dissertated on lexicography. Now he programs in Haskell and writes. He's also a husband and parent.
See other products by Eric Richard Rochester

Table of Contents (17) Chapters

Mastering Clojure Data Analysis
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Network Analysis – The Six Degrees of Kevin Bacon 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

Preparing for visualizations

One of the basic tools of data analysis is visualization. Good, flexible visualizations make it easier to explore and understand the data, and this is useful at all stages of the data analysis process. At the beginning, visualizations make it easier to find errors and inconsistencies and to get to know your data and developing an intuition for it. It continues to drive insights throughout the process. In the end, visualizations make great supporting evidence and explanations in reports and presentations.

Visualizations will be an important part of this chapter and in understanding the results of topic modeling. To create and interact with the graphs, we're going to use some software that's recently become an important part of many data scientists' toolkits: the Web browser.

As we did in Chapter 1, Network Analysis – The Six Degrees of Kevin Bacon, we'll use D3 (http://d3js.org/) and ClojureScript (https://github.com/clojure/clojurescript/).

The graph of the word...

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Authors (1)

Profile icon Eric Richard Rochester
LinkedIn
Eric Richard Rochester Studied medieval English literature and linguistics at UGA. Dissertated on lexicography. Now he programs in Haskell and writes. He's also a husband and parent.
See other products by Eric Richard Rochester

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