Visualizing Time : Designing Graphical Representations for Statistical Data

Graham Wills

ISBN 10: 038777906X / ISBN 13: 9780387779065

Editore: Springer New York Dez 2011, 2011

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Neuware - 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. Codice articolo 9780387779065

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Titolo: Visualizing Time : Designing Graphical ...

Casa editrice: Springer New York Dez 2011

Data di pubblicazione: 2011

Legatura: Buch

Condizione: Neu

Descrizione articolo

Riassunto:

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.

Informazioni sull?autore:

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