Visualizing Time

Designing Graphical Representations for Statistical Data

  • Graham¬†Wills
Part of the Statistics and Computing book series (SCO)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Graham Wills
    Pages 1-20
  3. Graham Wills
    Pages 21-62
  4. Graham Wills
    Pages 63-93
  5. Graham Wills
    Pages 95-104
  6. Graham Wills
    Pages 105-121
  7. Graham Wills
    Pages 151-167
  8. Graham Wills
    Pages 169-180
  9. Graham Wills
    Pages 181-206
  10. Graham Wills
    Pages 207-225
  11. Graham Wills
    Pages 227-246
  12. Back Matter
    Pages 247-256

About this book

Introduction

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.

Keywords

Time Series Analysis

Authors and affiliations

  • Graham¬†Wills
    • 1
  1. 1.NapervilleUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-387-77907-2
  • Copyright Information Springer Science+Business Media, LLC 2012
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-0-387-77906-5
  • Online ISBN 978-0-387-77907-2
  • Series Print ISSN 1431-8784