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Data Visualization with D3 4.x Cookbook

You're reading from   Data Visualization with D3 4.x Cookbook Visualization Strategies for Tackling Dirty Data

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Product type Paperback
Published in Feb 2017
Publisher Packt
ISBN-13 9781786468253
Length 380 pages
Edition 2nd 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 (15) 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. Knowing Your Map 13. Test Drive Your Visualization Appendix. Building Interactive Analytics in Minutes

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 subbranches. This process continuously repeats itself till it reaches the leaves of the tree.

Note

For more information on treemaps, refer to treemaps for space-constrained visualization of hierarchies 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 discussed 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...

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