Overview
- Contains over 100 figures, many in color
- All new text and material
- A go-to reference for how to visualize time
- Includes supplementary material: sn.pub/extras
Part of the book series: Statistics and Computing (SCO)
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Table of contents (11 chapters)
Keywords
About this book
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.
Reviews
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)
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Visualizing Time
Book Subtitle: Designing Graphical Representations for Statistical Data
Authors: Graham Wills
Series Title: Statistics and Computing
DOI: https://doi.org/10.1007/978-0-387-77907-2
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media, LLC 2012
Hardcover ISBN: 978-0-387-77906-5Published: 15 December 2011
Softcover ISBN: 978-1-4939-3924-4Published: 23 August 2016
eBook ISBN: 978-0-387-77907-2Published: 02 December 2011
Series ISSN: 1431-8784
Series E-ISSN: 2197-1706
Edition Number: 1
Number of Pages: XVI, 256
Topics: Statistical Theory and Methods