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D3.js is a JavaScript library designed to display digital data in dynamic graphical form. It helps you bring data to life using HTML, SVG, and CSS. D3 allows great control over the final visual result, and it is the hottest and most powerful web-based data visualization technology on the market today.

"Data Visualization with D3.js Cookbook" is packed with practical recipes to help you learn every aspect of data visualization with D3.

"Data Visualization with D3.js Cookbook" is designed to provide you with all the guidance you need to get to grips with data visualization with D3. With this book, you will create breathtaking data visualization with professional efficiency and precision with the help of practical recipes, illustrations, and code samples.

"Data Visualization with D3.js Cookbook" starts off by touching upon data visualization and D3 basics before gradually taking you through a number of practical recipes covering a wide range of topics you need to know about D3.

You will learn the fundamental concepts of data visualization, functional JavaScript, and D3 fundamentals including element selection, data binding, animation, and SVG generation. You will also learn how to leverage more advanced techniques such as custom interpolators, custom tweening, timers, the layout manager, force manipulation, and so on. This book also provides a number of pre-built chart recipes with ready-to-go sample code to help you bootstrap quickly.

Packed with practical recipes, this is a step-by-step guide to learning data visualization with D3 with the help of detailed illustrations and code samples.

Who this book is for

If you are a developer familiar with HTML, CSS, and JavaScript, and you wish to get the most out of D3, then this book is for you. This book can also serve as a desktop quick-reference guide for experienced data visualization developers.

Nick Qi Zhu is a professional programmer and visualization enthusiast with more than a decade of experience in software development. He is the author of dc.js—a popular multidimensional charting library built on D3. Currently he is having fun and learning as a lead consultant at ThoughtWorks.

Table of Contents
Preface
Chapter 1: Getting Started with D3.js
Chapter 2: Be Selective
Chapter 3: Dealing with Data
Chapter 4: Tipping the Scales
Chapter 5: Playing with Axes
Chapter 6: Transition with Style
Chapter 7: Getting into Shape
Chapter 8: Chart Them Up
Chapter 9: Lay Them Out
Chapter 10: Interacting with your Visualization
Chapter 11: Using Force
Chapter 12: Know your Map
Chapter 13: Test Drive your Visualization
Appendix: Building Interactive Analytics in Minutes
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