Master data visualization with D3.js v7 using modern web standards and real-world projects to build interactive charts, maps, and visual narrativesKey FeaturesBuild dynamic, data-driven visualizations using D3.js v7 and ES2019+Create D3 data visualizations, including charts, maps, and networksMaster data visualization with javascript through hands-on examplesBook DescriptionLearn 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.What you will learnBind data to DOM elements and apply transitions and stylesBuild interactive bar, line, pie, scatter, tree, and animated network chartsImplement interactive behaviors with zoom, drag, and tooltipsVisualize hierarchical data, flows, and maps using D3 layouts and projectionsUse D3 with HTML5 Canvas for high-performance renderingCreate thematic geographic maps using standard GeoJSON and TopoJSON shapefilesComplete 100+ exercises with commented templates and solutionsBuild full visualizations through 10 guided online exercisesWho this book is forThis book is for web developers, data journalists, designers, analysts, and anyone who wants to create interactive, web-based data visualizations. A basic understanding of HTML, CSS, and javascript is recommended. No prior knowledge of SVG or D3 is required.Table of ContentsData-driven DocumentsEssential javascript for D3 (Online)Essential SVG for D3 (Online)Quick StartLoading and Parsing DataSelections and Data BindingWorking with DataAxesScalesColorsCreating Line and Area ChartsCreating Pies and StacksTransitions and AnimationEvents and InteractivityCreating Tree VisualizationsCreating Partitions and EnclosuresVisualizing Flows and NetworksForce-Directed NetworksCartographical VisualizationsReferences and Additional Resources

Master data visualization with D3.js v7 using modern web standards and real-world projects to build interactive charts, maps, and visual narratives

Build dynamic, data-driven visualizations using D3.js v7 and ES2019+

Create D3 data visualizations, including charts, maps, and networks

Master data visualization with javascript through hands-on examples

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.

Bind data to DOM elements and apply transitions and styles