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.
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