Handbook of Data Visualization (Paperback, Softcover reprint of the original 1st ed. 2008)

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.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Springer Handbooks of Computational Statistics
Release date:	August 2016
First published:	2008
Editors:	Chun-Houh Chen • Wolfgang Karl Hardle • Antony Unwin
Dimensions:	235 x 155 x 48mm (L x W x T)
Format:	Paperback
Pages:	936
Edition:	Softcover reprint of the original 1st ed. 2008
ISBN-13:	978-3-662-50074-3
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > General theory of computing > General Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
LSN:	3-662-50074-4
Barcode:	9783662500743

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