Information Dashboard Design: Displaying Data for At-a-Glance Monitoring

Few, Stephen

ISBN 10: 1938377001 / ISBN 13: 9781938377006

Published by Analytics Press, 2013

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Bibliographic Details

• Title: Information Dashboard Design: Displaying Data for At-a-Glance Monitoring
• Publisher: Analytics Press
• Publication Date: 2013
• Language: English
• ISBN 10: 1938377001
• ISBN 13: 9781938377006
• Binding: Hardcover
• Edition: 2nd Edition
• Condition: new

About this title

Synopsis

A leader in the field of data visualization, Stephen Few exposes the common problems in dashboard design and describes its best practices in great detail and with a multitude of examples in this updated second edition. According to the author, dashboards have become a popular means to present critical information at a glance, yet few do so effectively. He purports that when designed well, dashboards engage the power of visual perception to communicate a dense collection of information efficiently and with exceptional clarity and that visual design skills that address the unique challenges of dashboards are not intuitive but rather learned. The book not only teaches how to design dashboards but also gives a deep understanding of the concepts—rooted in brain science—that explain the why behind the how. This revised edition offers six new chapters with sections that focus on fundamental considerations while assessing requirements, in-depth instruction in the design of bullet graphs and sparklines, and critical steps to follow during the design process. Examples of graphics and dashboards have been updated throughout, including additional samples of well-designed dashboards.

About the Author

Stephen Few is the founder of the consultancy Perceptual Edge. He speaks, teaches, and consults around the world and writes the quarterly Visual Business Intelligence Newsletter. In addition to this book, he is also the author of Show Me the Numbers: Designing Tables and Graphs to Enlighten, Now You See It: Simple Visualization Techniques for Quantitative Analysis, and Signal: Understanding What Matters in a World of Noise.