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Handbook of Data Visualization

Chun-Houh Chen

6 ratings by Goodreads
ISBN 10: 3540330364 / ISBN 13: 9783540330363
Published by Springer-Verlag Gmbh Dez 2007, 2007
New Condition: Neu
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Neuware - Visualizing the data is an essential part of any data analysis. Modern computing developments have led to big improvements in graphic capabilities and there are many new possibilities for data displays. This new volume in the series Springer Handbooks of Computational Statistics gives an overview of modern data visualization methods, both in theory and practice. There are definitive chapters on modern graphical tools such as mosaic plots, parallel coordinate plots and linked views. There are chapters dedicated to graphical methodology for particular areas of statistics, for example Bayesian analysis, genomic data and cluster analysis, as well as chapters on software for graphics. Specialists from all over the world have contributed papers on their areas of expertise. 936 pp. Englisch. Bookseller Inventory # 9783540330363

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Bibliographic Details

Title: Handbook of Data Visualization

Publisher: Springer-Verlag Gmbh Dez 2007

Publication Date: 2007

Binding: Buch

Book Condition: Neu

About this title

Synopsis:

Visualizing the data is an essential part of any data analysis. Modern computing developments have led to big improvements in graphic capabilities and there are many new possibilities for data displays. This book gives an overview of modern data visualization methods, both in theory and practice. It details modern graphical tools such as mosaic plots, parallel coordinate plots, and linked views. Coverage also examines graphical methodology for particular areas of statistics, for example Bayesian analysis, genomic data and cluster analysis, as well software for graphics.

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"This handbook shows hundreds of ways to visualize data by using modern, high-quality statistical graphics. ... It is most enjoyable to see such a large number of specialists sharing their insights of these methods within one volume. This book really feeds the imagination of the reader. High-dimensionally recommended!" (Kimmo Vehkalahti, International Statistical Review, Vol. 76 (3), 2008)

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