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Visualizing Time : Designing Graphical Representations for Statistical Data / by Graham Wills
(Statistics and Computing. ISSN:21971706)

1st ed. 2012.
出版者 (New York, NY : Springer New York : Imprint: Springer)
出版年 2012
大きさ XVI, 256 p. 157 illus., 149 illus. in color : online resource
著者標目 *Wills, Graham author
SpringerLink (Online service)
件 名 LCSH:Statistics 
FREE:Statistical Theory and Methods
一般注記 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
HTTP:URL=https://doi.org/10.1007/978-0-387-77907-2
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Springer eBooks 9780387779072
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データ種別 電子ブック
分 類 LCC:QA276-280
DC23:519.5
書誌ID 4000118258
ISBN 9780387779072

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