Handbook of Data Visualization
Publication year: 2008
: 978-3-540-33037-0
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.
: Mathematics and Statistics, Analysis, Cluster analysis, Fitting, Java, Projection pursuit, XML, best fit, computer, data analysis, multidimensional scaling, statistics, visualization
