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Handbook of Data Visualization : Springer Handbooks of Computational Statistics - Chun-Houh Chen

Handbook of Data Visualization

Springer Handbooks of Computational Statistics

By: Chun-Houh Chen (Editor), Wolfgang Hardle (Editor), Antony Unwin (Editor)

Hardcover Published: 1st May 2007
ISBN: 9783540330363
Number Of Pages: 936

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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.

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)

Data Visualization
Introductionp. 3
Principles
A Brief History of Data Visualizationp. 15
Good Graphics?p. 57
Static Graphicsp. 79
Data Visualization Through Their Graph Representationsp. 103
Graph-theoretic Graphicsp. 121
High-dimensional Data Visualizationp. 151
Multivariate Data Glyphs: Principles and Practicep. 179
Linked Views for Visual Explorationp. 199
Linked Data Viewsp. 217
Visualizing Trees and Forestsp. 243
Methodologies
Interactive Linked Micromap Plots for the Display of Geographically Referenced Statistical Datap. 267
Grand Tours, Projection Pursuit Guided Tours, and Manual Controlsp. 295
Multidimensional Scalingp. 315
Huge Multidimensional Data Visualization: Back to the Virtue of Principal Coordinates and Dendrograms in the New Computer Agep. 349
Multivariate Visualization by Density Estimationp. 389
Structured Sets of Graphsp. 415
Regression by Parts: Fitting Visually Interpretable Models with GUIDEp. 447
Structural Adaptive Smoothing by Propagation-Separation Methodsp. 471
Smoothing Techniques for Visualisationp. 493
Data Visualization via Kernel Machinesp. 539
Visualizing Cluster Analysis and Finite Mixture Modelsp. 561
Visualizing Contingency Tablesp. 589
Mosaic Plots and Their Variantsp. 617
Parallel Coordinates: Visualization, Exploration and Classification of High-Dimensional Datap. 643
Matrix Visualizationp. 681
Visualization in Bayesian Data Analysisp. 709
Programming Statistical Data Visualization in the Java Languagep. 725
Web-Based Statistical Graphics using XML Technologiesp. 757
Selected Applications
Visualization for Genetic Network Reconstructionp. 793
Reconstruction, Visualization and Analysis of Medical Imagesp. 813
Exploratory Graphics of a Financial Datasetp. 831
Graphical Data Representation in Bankruptcy Analysisp. 853
Visualizing Functional Data with an Application to eBay's Online Auctionsp. 873
Visualization Tools for Insurance Risk Processesp. 899
Subject Indexp. 921
Table of Contents provided by Publisher. All Rights Reserved.

ISBN: 9783540330363
ISBN-10: 3540330364
Series: Springer Handbooks of Computational Statistics
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 936
Published: 1st May 2007
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Country of Publication: DE
Dimensions (cm): 23.5 x 15.5  x 3.81
Weight (kg): 1.59