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Clojure Data Analysis Cookbook - Second Edition

You're reading from   Clojure Data Analysis Cookbook - Second Edition Dive into data analysis with Clojure through over 100 practical recipes for every stage of the analysis and collection process

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Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781784390297
Length 372 pages
Edition 2nd 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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Table of Contents (14) Chapters Close

Preface 1. Importing Data for Analysis FREE CHAPTER 2. Cleaning and Validating Data 3. Managing Complexity with Concurrent Programming 4. Improving Performance with Parallel Programming 5. Distributed Data Processing with Cascalog 6. Working with Incanter Datasets 7. Statistical Data Analysis with Incanter 8. Working with Mathematica and R 9. Clustering, Classifying, and Working with Weka 10. Working with Unstructured and Textual Data 11. Graphing in Incanter 12. Creating Charts for the Web Index

Creating interactive visualizations with D3

One of the great things about working on the Web is how easy it is to make things interactive. Also, since D3 exposes the underlying HTML elements— in fact, it often forces you to work in them—making a D3 graph interactive is pretty straightforward; we just use standard HTML events.

For this recipe, we'll take the force-directed layout visualization of the US census data that we did in the last recipe, Visualizing graphs with force-directed layout, and make it interactive. We'll add a data panel to the right-hand side of the graph, and whenever the user hovers over a node, the page will display the census data from that node in the data panel.

Getting ready

We'll start with the visualization from the last recipe, Visualizing graphs with force-directed layout, and add to it.

How to do it…

Even though we're adding to an existing graph, we'll do it on a new URL, so we'll also need to add a handler, route...

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