Visualizing Time: Designing Graphical Representations for Statistical Data

Visualizing Time: Designing Graphical Representations for Statistical Data

by Graham Wills
     
 

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

Overview

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.

Editorial Reviews

From the Publisher
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)

Product Details

ISBN-13:
9780387779065
Publisher:
Springer New York
Publication date:
12/15/2011
Series:
Statistics and Computing Series
Edition description:
2012
Pages:
256
Product dimensions:
6.10(w) x 9.25(h) x 0.03(d)

Meet the Author

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

Customer Reviews

Average Review:

Write a Review

and post it to your social network

     

Most Helpful Customer Reviews

See all customer reviews >