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D3.js 4.x Data Visualization

You're reading from   D3.js 4.x Data Visualization Learn to visualize your data with JavaScript

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Product type Paperback
Published in Apr 2017
Publisher Packt
ISBN-13 9781787120358
Length 308 pages
Edition 3rd Edition
Languages
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Authors (2):
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Aendrew Rininsland Aendrew Rininsland
Author Profile Icon Aendrew Rininsland
Aendrew Rininsland
Swizec Teller Swizec Teller
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Swizec Teller
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Table of Contents (11) Chapters Close

Preface 1. Getting Started with D3, ES2017, and Node.js FREE CHAPTER 2. A Primer on DOM, SVG, and CSS 3. Shape Primitives of D3 4. Making Data Useful 5. Defining the User Experience - Animation and Interaction 6. Hierarchical Layouts of D3 7. The Other Layouts 8. D3 on the Server with Canvas, Koa 2, and Node.js 9. Having Confidence in Your Visualizations 10. Designing Good Data Visualizations

What this book covers

Chapter 1, Getting Started with D3, ES2017, and Node.js, covers the latest tools for building data visualizations using D3.

Chapter 2, A Primer on DOM, SVG, and CSS, reviews the underlying web technologies that D3 can manipulate.

Chapter 3, Shape Primitives of D3, identifies and creates the basic shapes that comprise a data visualization.

Chapter 4, Making Data Useful, teaches how to transform data so that D3 can visualize it.

Chapter 5, Defining the User Experience - Animation and Interaction, helps you use animation and user interactivity to drive your data visualizations.

Chapter 6, Hierarchical Layouts of D3, focuses on how hierarchical layouts can take your D3 skills to the next level by providing reusable patterns for creating complex charts.

Chapter 7, The Other Layouts, discusses the non-hierarchical layouts that speed the creation of many addition complex chart types.

Chapter 8, D3 on the Server with Canvas, Koa 2, and Node.js, outlines how to build and deploy a Node.js-based web service that renders D3 using Koa.js and Canvas.

Chapter 9, Having Confidence in Your Visualizations, showcases how to improve the quality of your code by introducing linting, static type checking, and automated testing to your projects.

Chapter 10, Designing Good Data Visualizations, compares and contrasts differing approaches to data visualization while building a set of best practices.

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