Interactive Data Visualization for the Web

Interactive Data Visualization for the Web

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by Scott Murray
     
 

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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

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

Product Details

ISBN-13:
9781449340247
Publisher:
O'Reilly Media, Incorporated
Publication date:
03/11/2013
Sold by:
Barnes & Noble
Format:
NOOK Book
Pages:
272
File size:
5 MB

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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Interactive Data Visualization for the Web 4 out of 5 based on 0 ratings. 1 reviews.
Anonymous More than 1 year ago