Interactive Data Visualization for the Web

Create and publish your own interactive data visualization projects on the webeven if you have little or no experience with data visualization or web development. Its inspiring and fun with this friendly, accessible, and practical hands-on introduction. This fully updated and expanded second edition takes you through the fundamental concepts and methods of D3, the most powerful JavaScript library for expressing data visually in a web browser.

Ideal for designers with no coding experience, reporters exploring data journalism, and anyone who wants to visualize and share data, this step-by-step guide will also help you expand your web programming skills by teaching you the basics of HTML, CSS, JavaScript, and SVG.

Learn D3 4.xthe latest D3 versionwith downloadable code and over 140 examples
Create bar charts, scatter plots, pie charts, stacked bar charts, and force-directed graphs
Use smooth, animated transitions to show changes in your data
Introduce interactivity to help users explore your data
Create custom geographic maps with panning, zooming, labels, and tooltips
Walk through the creation of a complete visualization project, from start to finish
Explore inspiring case studies with nine accomplished designers talking about their D3-based projects

About the Author

Scott Murray is a designer who writes software to create data visualizations and other interactive experiences. Scott is in the Learning Group at O’Reilly Media, and has taught numerous courses and workshops on data visualization and creative coding. He is also a Senior Developer for Processing, and is working on his next book, “Creative Coding and Data Visualization with p5.js: Drawing on the Web with JavaScript.” 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.

Author Biography

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, 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.