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Handbook of Data Visualization (Springer Handbooks of Computational Statistics)
Posted: February 3rd, 2008, 7:17pm CET

Tags:  Handbook of Data Visualization Springer   [edit]


Note: With 569 Figures and 50 Tables. 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. Table of Contents I. Data Visualization I.1 Introduction II. Principles II.1 A Brief History of Data Visualization II.2 Good Graphics? II.3 Static Graphics II.4 Data Visualization Through Their Graph Representations II.5 Graph-theoretic Graphics II.6 High-dimensional Data Visualization II.7 Multivariate Data Glyphs: Principles and Practice II.8 Linked Views for Visual Exploration II.9 Linked Data Views II.10 Visualizing Trees and Forests III. Methodologies III.1 Interactive Linked Micromap Plots for the Display of Geographically Referenced Statistical Data III.2 Grand Tours, Projection Pursuit Guided Tours, and Manual Controls III.3 Multidimension Read more...