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Visualizing Time: Designing Graphical Representations for Statistical Data
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Catalogue Information
Field name
Details
Dewey Class
519.5
Title
Visualizing Time (EB) : Designing Graphical Representations for Statistical Data / by Graham Wills.
Author
Wills, Graham. , 1939-
Other name(s)
SpringerLink (Online service)
Publication
New York, NY : Springer
, 2012.
Physical Details
XVI, 256 pages : 157 illus., 149 illus. in color. : online resource.
Series
Statistics and computing
1431-8784
ISBN
9780387779072
Summary Note
Art, or Science? Which of these is the right way to think of the field of visualization? This is not an easy question to answer, even for those who have many years experience in making graphical depictions of data with a view to help people understand it and take action. In this book, Graham Wills bridges the gap between the art and the science of visually representing statistical data. He does not simply give rules and advice, but bases these on general principles and provides a clear path between them. This book is concerned with the graphical representation of time data and is written to cover a range of different users. A visualization expert designing tools for displaying time will find it valuable, but so also should a financier assembling a report in a spreadsheet, or a medical researcher trying to display gene sequences using a commercial statistical package.:
Contents note
History -- Framework -- Designing Visualizations -- Types of Data -- Time as a Coordinate -- Coordinate Systems, Transformations, Faceting, and Axes -- Aesthetics -- Transformations -- Interactivity -- Topics in Time -- Gallery of Figures.
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site
http://dx.doi.org/10.1007/978-0-387-77907-2
Links to Related Works
Subject References:
Mathematical Statistics
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Statistics — Graphic methods
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Time - Perception
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Visual analytics
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Authors:
Wills, Graham. 1939-
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Corporate Authors:
SpringerLink (Online service)
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Series:
Statistics and computing
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Classification:
519.5
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