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Data Visualization with D3.js Cookbook

You're reading from   Data Visualization with D3.js Cookbook Turn your digital data into dynamic graphics with this exciting, leading-edge cookbook. Packed with recipes and practical guidance it will quickly make you a proficient user of the D3 JavaScript library.

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Product type Paperback
Published in Oct 2013
Publisher Packt
ISBN-13 9781782162162
Length 338 pages
Edition 1st Edition
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Author (1):
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Nick Zhu Nick Zhu
Author Profile Icon Nick Zhu
Nick Zhu
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Table of Contents (16) Chapters Close

Preface 1. Getting Started with D3.js FREE CHAPTER 2. Be Selective 3. Dealing with Data 4. Tipping the Scales 5. Playing with Axes 6. Transition with Style 7. Getting into Shape 8. Chart Them Up 9. Lay Them Out 10. Interacting with your Visualization 11. Using Force 12. Know your Map 13. Test Drive your Visualization A. Building Interactive Analytics in Minutes Index

Building a treemap


Treemaps were introduced by Ben Shneiderman in 1991. A treemap displays hierarchical tree-structured data as a set of recursively subdivided rectangles. In other words, it displays each branch of the tree as a large rectangle which is then tiled with smaller rectangles representing sub-branches. This process continuously repeats itself till it reaches the leaves of the tree.

Note

For more information on treemaps, see this paper by Ben Shneiderman at http://www.cs.umd.edu/hcil/treemap-history/

Before we dive into the code example, let's first define what we mean by hierarchical data .

So far we have learned many types of visualizations capable of representing flat data structure usually stored in one or two dimensional arrays. In the rest of this chapter, we will switch our focus onto another common type of data structure in data visualization—the hierarchical data structure. Instead of using arrays, as in the case of flat data structures, hierarchical data are usually structured...

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