Visualizing Time

Designing Graphical Representations for Statistical Data

Graham Wills

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Beschreibung


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 data. He does not simply give rules and advice, but bases these on general principles and provide 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.

Graham Wills is Visualization Architect and Principal Software Engineer for SPSS, Inc.

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)

Produktdetails

Einband gebundene Ausgabe
Seitenzahl 256
Erscheinungsdatum 15.12.2011
Sprache Englisch
ISBN 978-0-387-77906-5
Reihe Statistics and Computing
Verlag Springer Us
Maße (L/B/H) 23.6/16/1.8 cm
Gewicht 590 g
Auflage 2012

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  • Artikelbild-0
  • Introduction.- The history of time visualization.- A framework for time visualization.- Time as a coordinate.- Time as an aesthetic.- Transformations of time.- Animation and filtering.- Other interactive techniques.- Techniques for visualizing large data sets.- Specific areas.- How to design a time visualization.- A gallery of time visualizations.