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Handbook of Computational
Statistics (Volume III): Data Visualization
Table of Contents
I. Data Visualization
(1)
C2/WH/AU
II. Principles
(10)
A
brief History of Data Visualization
Good Graphics?
Static Graphics
Data Visualization Through
Their Graph Representations
High Dimensional Data
Visualization
Multivariate Data Glyphs:
Principles and Practice
Graph-Theoretic Graphics
Linked Data Views
Linked views for visual
exploration
Visualizing Trees and
Forests
III. Methodologies
(18)
Interactive Linked Micromap
Plots for the Display of Geographically Referenced Statistical Data
Grand Tours, Projection
Pursuit Guided Tours and Manual Controls
Multidimensional Scaling -
A Review
Huge multidimensional data
visualization: back to the virtue of principal coordinates and
dendrograms in the new
computer age
Multivariate Density
Estimation for Visualization
Structured Sets of Graphs
Structural adaptive
smoothing by Propagation-Separation-methods
Smoothing Techniques for
Visualization
Data Visualization via
Kernel Machines
Visualization of Cluster
Analysis and Finite Mixture Models
Visualizing Contingency
Tables
Mosaicplots and their
Variations
Parallel Coordinates:
Visualization and Classification of High Dimensional Datasets
Matrix Visualization
Visualization in Bayesian
Analysis
Java Tools and Environment
for Statistical Data Visualization
Web-based Statistical
Graphics using XML Technologies
Regression by Parts:
Fitting Visually Interpretable Models with GUIDE
IV. Selected Applications
(7)
Data Visualization for
Genetic Networks Reconstruction
Visualizing Genomic Data
Reconstruction,
Visualization, and Analysis of Medical Images
Exploratory Graphics of a
Financial Dataset
Graphical Data
Representation in Bankruptcy Analysis
Visualizing Functional Data
With an Application to eBay’s Online Auctions
Visualization Tools for
Insurance Risk Processes
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