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Visualizing Time: Designing Graphical Representations for Statistical Data (Statistics and Computing) Hardcover – December 15, 2011

ISBN-13: 978-0387779065 ISBN-10: 038777906X Edition: 2012th

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Editorial Reviews

Review

From the reviews:

“This book begins by noting that visualization, a word which has come to mean the graphical representation of data, has both scientific and artistic aspects. … This book provides the foundation for the training and effort which … will certainly move us some way along that path. … this is the first book on visualization devoted specifically to data which is recorded over time. … the graphs in this book are beautiful.” (David J. Hand, International Statistical Review, Vol. 80 (3), 2012)

From the Back Cover

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.

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More About the Author

B.1967, London UK. Lived in Ireland, moved to Chicago area mid-90s. Married, boy, girl. Christian, liberal. Tae Kwan Do Black-belt with many competition wins; soccer; acting & directing; roleplaying games, board games; reading - science fiction, history, world fiction; listening - alternative, rock, bluegrass, opera. Ph.D. statistics, visualization and large scale data analysis.

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Visualizing Time: Designing Graphical Representations for Statistical Data (Statistics and Computing)
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