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Visualizing Time [electronic resource] : Designing Graphical Representations for Statistical Data / by Graham Wills.

By: Wills, Graham [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Statistics and Computing: Publisher: New York, NY : Springer New York : Imprint: Springer, 2012Description: XVI, 256p. 157 illus., 149 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9780387779072.Subject(s): Statistics | Mathematical statistics | Statistics | Statistical Theory and MethodsDDC classification: 519.5 Online resources: Click here to access online
Contents:
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.
In: Springer eBooksSummary: 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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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.

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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