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  • Book Overview & Buying Learn D3.js
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Learn D3.js

Learn D3.js - Second Edition

By : Helder da Rocha
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Learn D3.js

Learn D3.js

By: Helder da Rocha

Overview of this book

Learn D3.js, Second Edition, is a fully updated guide to building interactive, standards-compliant data visualizations for the web using D3.js v7 and modern JavaScript. Whether you're a developer, designer, data journalist, or analyst, this book will help you master the core techniques for transforming data into compelling, meaningful visuals. Starting with fundamentals like selections, data binding, and SVG, the book progressively covers scales, axes, animations, hierarchical data, and geographical maps. Each chapter includes short examples and a hands-on project with downloadable code you can run, modify, and use in your own work. This new edition introduces improved chapter structure, updated code samples using ES2019 standards, and better formatting for readability. Chapters were completely rewritten to focus on the most important topics first, with suggested exercises after each section, complete with commented solutions and online step-by-step tutorials. All code snippets are drawn from real-world D3 data visualization projects available in a GitHub repository, which also includes bonus content on integrating D3 into applications and migrating legacy code. With its practical approach, this book remains one of the most respected resources for learning D3.js and creating interactive data visualizations with JavaScript.
Table of Contents (27 chapters)
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1
Part 1: Getting Started with D3
3
Chapter 2: Essential JavaScript for D3 (Online)
4
Chapter 3: Essential SVG for D3 (Online)
6
Part 2: Core D3
17
Part 3: Advanced D3

Force-directed simulations

Force-directed simulations solve the problem of deciding where to place the nodes of a network diagram by integrating different forces that iteratively enforce positioning constraints. The process can be used to create not only node-link diagrams, but also clustered bubble charts and word clouds, and to reveal patterns in large scatterplots. They are great to show topology in node-link systems.

A force simulation layout function receives an array of nodes, one or more constraints configured in force algorithms, and runs for a finite number of iterations or until the simulation reaches a stable state. At each iteration, computed coordinate positions are assigned to each node.

You can create static network graphs by running several iterations of the simulation in the background and then using the computed final node positions to render the chart. The Sankey algorithm works this way. But it’s also possible to create an animated simulation, where...

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