Interactive Data Visualization for the Web

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Overview

Create and publish your own interactive data visualization projects on the Web—even if you have little or no experience with data visualization or web development. It’s easy and fun with this practical, hands-on introduction. Author Scott Murray teaches you the fundamental concepts and methods of D3, a JavaScript library that lets you express data visually in a web browser. Along the way, you’ll expand your web programming skills, using tools such as HTML and JavaScript.

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Interactive Data Visualization for the Web

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Overview

Create and publish your own interactive data visualization projects on the Web—even if you have little or no experience with data visualization or web development. It’s easy and fun with this practical, hands-on introduction. Author Scott Murray teaches you the fundamental concepts and methods of D3, a JavaScript library that lets you express data visually in a web browser. Along the way, you’ll expand your web programming skills, using tools such as HTML and JavaScript.

This step-by-step guide is ideal whether you’re a designer or visual artist with no programming experience, a reporter exploring the new frontier of data journalism, or anyone who wants to visualize and share data.

  • Learn HTML, CSS, JavaScript, and SVG basics
  • Dynamically generate web page elements from your data—and choose visual encoding rules to style them
  • Create bar charts, scatter plots, pie charts, stacked bar charts, and force-directed layouts
  • Use smooth, animated transitions to show changes in your data
  • Introduce interactivity to help users explore data through different views
  • Create customized geographic maps with data
  • Explore hands-on with downloadable code and over 100 examples
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Product Details

  • ISBN-13: 9781449339739
  • Publisher: O'Reilly Media, Incorporated
  • Publication date: 4/2/2013
  • Edition number: 1
  • Pages: 255
  • Sales rank: 297,953
  • Product dimensions: 6.90 (w) x 9.10 (h) x 0.60 (d)

Meet the Author

Scott Murray is a code artist who writes software to create data visualizations and other interactive phenomena. His work incorporates elements of interaction design, systems design, and generative art.

Scott is an Assistant Professor of Design at the University of San Francisco, where he teaches data visualization and interaction design. He is a contributor to Processing (processing.org), and he teaches workshops on creative coding.

Scott earned an A.B. from Vassar College and an M.F.A. from the Dynamic Media Institute at the Massachusetts College of Art and Design. His work can be seen at alignedleft.com.

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Table of Contents

Preface

Chapter 1: Introduction

Chapter 2: Introducing D3

Chapter 3: Technology Fundamentals

Chapter 4: Setup

Chapter 5: Data

Chapter 6: Drawing with Data

Chapter 7: Scales

Chapter 8: Axes

Chapter 9: Updates, Transitions, and Motion

Chapter 10: Interactivity

Chapter 11: Layouts

Chapter 12: Geomapping

Chapter 13: Exporting

Appendix: Further Study

Index

Colophon

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