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Learn D3.js

You're reading from   Learn D3.js Create interactive data-driven visualizations for the web with the D3.js library

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Product type Paperback
Published in May 2019
Publisher Packt
ISBN-13 9781838645571
Length 650 pages
Edition 1st Edition
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Author (1):
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Helder da Rocha Helder da Rocha
Author Profile Icon Helder da Rocha
Helder da Rocha
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Toc

Table of Contents (13) Chapters Close

Preface 1. Introduction FREE CHAPTER 2. Technical Fundamentals 3. Quick Start 4. Data Binding 5. Manipulating Data and Formatting 6. Scales, Axes, and Colors 7. Shape and Layout Generators 8. Animation and Interactivity 9. Visualizing Hierarchical Data 10. Visualizing Flows and Networks 11. Visualizing Geographical Data 12. Other Books You May Enjoy

Adjacency diagrams

The simplest way to visualize an adjacency matrix is to plot the matrix as a table, using colors or other highlighting techniques to emphasize the weight of each connection, producing a heatmap visualization. This can be easily done with HTML tables, but SVG offers more flexibility and interactive resources. D3 does not, however, provide a layout generator function in D3 to plot adjacency heatmaps, but it's not difficult to create one.

As an example, consider the following CSV data (see Data/sa_borders.csv) containing a triangular adjacency matrix, where each element represents the border between two South American countries or its coastline with the Atlantic or Pacific oceans:

Country,Atlantic,Pacific,Brazil,French Guyana,Suriname,Guyana,Venezuela,↵
Colombia,Ecuador,Peru,Bolivia,Chile,Argentina,Uruguay,Paraguay
Atlantic,0,0,,,,,,,,,,...
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