Visualizing Time : designing graphical representations for statistical data

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 b...

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Bibliografiske detaljer
Hovedforfatter: Wills, Graham
Format: Livre numérique
Sprog:Anglais
Udgivet: New York, NY : Springer New York 2012.
Cham : Springer Nature
Serier:Statistics and Computing
Fag:
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Kommentar: Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Visualizing Time, Texte imprimé, 9780387779065
• Visualizing Time, Texte imprimé, 9781493939244
• Clusters of atoms and molecules II, solvation and chemistry of free clusters, and embedded, supported and compound clusters, Hellmut Haberland (ed.), 1994, Berlin, Springer-Verlag, 1 vol. (XVIII-412 p.), Springer series in chemical physics, 3-540-56958-8
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505 0 |a History -- Framework -- Designing Visualizations -- Types of Data -- Time as a Coordinate -- Coordinate Systems, Transformations, Faceting, and Axes -- Aesthetics -- Transformations -- Interactivity -- Topics in Time -- Gallery of Figures. 
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520 |a 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. 
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