Interactive Data Visualization for the Web: An Introduction to Designing with D3

Murray, Scott

ISBN 10: 1491921285 / ISBN 13: 9781491921289

Edité par O'Reilly Media, 2017

A propos de cet article

Some outer edges have minor scuffs. Cover has light scratches. Reading content is in like new condition. N° de réf. du vendeur 078031-22-10-2024-EE

Détails bibliographiques

Titre : Interactive Data Visualization for the Web: ...

Éditeur : O'Reilly Media

Date d'édition : 2017

Reliure : Couverture souple

Etat : Very Good

Edition : 2ème Édition

A propos de ce titre

Synopsis :

Create and publish your own interactive data visualization projects on the webâ even if you have little or no experience with data visualization or web development. Itâ s 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.xâ the latest D3 versionâ with 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

À propos de l?auteur:

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.