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Visual Storytelling with D3: An Introduction to Data Visualization in JavaScript

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Visual Storytelling with D3: An Introduction to Data Visualization in JavaScript

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About

Features

  • 完美的资源技术、设计、和我dia professionals who want to build the world-class infographics that are in incredibly hot demand
  • Brings together expert coverage of both infographic design and D3 JavaScript programming
  • Illuminates D3's remarkably broad capabilities, from shape drawing and manipulation to transitions, animations, and mapping
  • No other resource covers D3 in this much practical detail!

Description

  • Copyright 2015
  • Dimensions: 7" x 9-1/8"
  • Pages: 288
  • Edition: 1st
  • Book
  • ISBN-10: 0-321-93317-6
  • ISBN-13: 978-0-321-93317-1

Master D3, Today’s Most Powerful Tool for Visualizing Data on the Web

Data-driven graphics are everywhere these days, from websites and mobile apps to interactive journalism and high-end presentations. Using D3, you can create graphics that are visually stunning and powerfully effective.Visual Storytelling with D3is a hands-on, full-color tutorial that teaches you to design charts and data visualizations to tell your story quickly and intuitively, and that shows you how to wield the powerful D3 JavaScript library.

Drawing on his extensive experience as a professional graphic artist, writer, and programmer, Ritchie S. King walks you through a complete sample project—from conception through data selection and design. Step by step, you’ll build your skills, mastering increasingly sophisticated graphical forms and techniques. If you know a little HTML and CSS, you have all the technical background you’ll need to master D3.

This tutorial is for web designers creating graphics-driven sites, services, tools, or dashboards; online journalists who want to visualize their content; researchers seeking to communicate their results more intuitively; marketers aiming to deepen their connections with customers; and for any data visualization enthusiast.

Coverage includes

  • Identifying a data-driven story and telling it visually
  • Creating and manipulating beautiful graphical elements with SVG
  • Shaping web pages with D3
  • Structuring data so D3 can easily visualize it
  • Using D3’s data joins to connect your data to the graphical elements on a web page
  • Sizing and scaling charts, and adding axes to them
  • Loading and filtering data from external standalone datasets
  • Animating your charts with D3’s transitions
  • Adding interactivity to visualizations, including a play button that cycles through different views of your data
  • Finding D3 resources and getting involved in the thriving online D3 community

About the Website

All of this book’s examples are available atritchiesking.com/book, along with video tutorials, updates, supporting material, and even more examples, as they become available.

Extras

Author's Site

Please visit the author's sitehere

Sample Content

Online Sample Chapter

An Introduction to Data Visualization in JavaScript: How to Use Data-Joins in D3

Table of Contents

Foreword xi

Preface xiii

Acknowledgments xvii

About the Author xix

Chapter 1: Visual Storytelling and D3 1

Visualization, Visualized 1

Charts Give Data a Form–That Form Tells a Story 2

Quality: It Is All about Content 5

Design: It Is All about Form 6

Visual Storytelling 7

Enter D3 7

Things You Designers Will Love about D3 8

Things You Coders Will Love about D3 8

Things for Which You Should Not Use D3 9

Notes on Using D3 9

Tools You Will Need 10

Summary 10

Chapter 2: Finding a Data-Driven Story and Telling It Visually 11

Getting Started 11

Is the World Getting Older? 12

Finding and Inspecting Data 13

Honing the Concept 15

Choosing a Form 17

The Example We Will Build in This Book 27

Summary 29

Chapter 3: Scalable Vector Graphics 31

Peeking under the Hood 31

What Is SVG, Exactly? 31

Playing with Circles in SVG 32

Inspecting SVG in the Web Inspector 34

Styling SVG Elements with CSS 35

Other Shapes 37

SVG Text 41

SVG Style Properties 44

Drawing Order and Groups 47

Transformations 49

Building a Bar Chart in SVG 51

Summary 64

Chapter 4: Shaping Web Pages with D3 Selections 65

Getting Set Up with D3 65

Making Selections 66

Changing a Selection’s Attributes 70

D3 Strives to be Declarative 74

Chaining Methods 74

Appending New Elements 77

Putting It All Together 79

Selecting Multiple Elements with d3.selectAll() 80

Building a Bar Chart with Selections 81

Summary 103

Chapter 5: Data-Joins: Enter 105

What Are Data-Joins? 105

A Conceptual Overview of Data-Joins: Enter 106

Enter and Binding Data 107

Using a Data-Join to Make a Bar Chart 111

Using Anonymous Functions to Access Bound Data 115

Finishing the Rest of the Chart 119

Storing Data in Objects 120

Summary 125

Chapter 6: Sizing Charts and Adding Axes 127

线性范围127

Using Smart Margin Conventions 132

Adding Axes 135

Ordinal Scales and Axes 144

Summary 156

Chapter 7: Loading and Filtering External Data 157

Building a Graphic that Uses All of the Population Distribution Data 157

Data Formats You Can Use with D3 158

Creating a Server to Upload Your Data 159

D3’s Functions for Loading Data 160

Dealing with Asynchronous Requests 165

Loading and Filtering a Large(r) Data Set 171

Putting It All Together 173

Summary 175

Chapter 8: Making Charts Interactive and Animated 177

Data-Joins: Update and Exit 177

Interactive Buttons 181

Updating Charts 190

Adding Transitions 193

Using Keys 196

Summary 197

Chapter 9: Adding a Play Button 199

Wrapping the Update Phase in a Function 199

Adding a Play Button to the Page 203

Making the Play Button Go 204

Allowing the User to Interrupt the Play Sequence 207

Summary 213

Chapter 10: Striking Out on Your Own 215

This Book is a Foundation for Learning D3 215

How to Get Unstuck 215

Always Be Coding 217

Summary 218

Appendix A: JavaScript for Beginners 219

JavaScript in Brief 219

Your Browser’s JavaScript Console 219

Basic Math, Variables, and Data Types 220

Writing JavaScript in Markup and .js Files 223

数组和对象224

Methods and Functions 227

If Statements and for Loops 228

Debugging 232

Appendix B: Cleaning the Population Distribution Data 235

Index 255

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