Handbook of Data Visualization
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Beschreibung
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.
Complete overview of data visualization Comprehensive coverage of the field, both in theory and practice Includes supplementary material: sn.pub/extras
Autor*in
Chun-houh Chen
Themen in »Handbook of Data Visualization«
Analysis Cluster analysis Fitting Java Projection pursuit XML best fit computer data analysis multidimensional scaling statistics visualization
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From the reviews:
"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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