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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
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Author (1):
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Eric Richard Rochester Eric Richard Rochester
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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

Visualizing UFO data


We'll spend a good bit of time visualizing the data, and we'll use the same system that we have in the previous chapters: a bit of HTML, a splash of CSS, and a lot of JavaScript, which we'll generate from ClojureScript.

We've already taken care of the configuration for using ClojureScript in the project.clj file that I mentioned earlier. The rest of it involves a couple of more parts:

  • The code to generate the JSON data for the graph. This will be in the src/ufo_data/analysis.clj file. We'll write this code first.

  • An HTML page that loads the JavaScript libraries that we'll use—jQuery (https://jquery.org/) and D3 (http://d3js.org/)—and creates a div container in which to put the graph itself.

  • The source code for the graph. This will include a namespace for utilities in src-cljs/ufo-data/utils.cljs and the main namespace at src-cljs/ufo-data/viz.cljs.

With these prerequisites in place, we can start creating the graph of the frequencies of the different shapes.

First, we need...

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