Table of Contents

I. Data Visualization
I.1 Introduction

II. Principles
II.1 A Brief History of Data Visualization
II.2 Good Graphics?
  57-70 Scales, Sorting and Ordering, Plot data, Legends, Size and Aspect Ratio, Color 
  70-78 Scatterplot Matrices, Parallel Coordinates, Mosaic Plots, Trellis Displays, Time Series, Maps
II.3 Static Graphics
II.4 Data Visualization Through Their Graph Representations
   103-114 Graph Layout (Force techniques and Multidimensional Scaling)
II.5 Graph-theoretic Graphics
  121-142 Trees, Directed Graphs, Treemaps
II.6 High-dimensional Data Visualization
  151-178 Mosaic Plots, Trellis Displays, Parallel Coordinate PLots, Grand Tour
II.7 Multivariate Data Glyphs: Principles and Practice
  179-198 Existing Glyphs, Ordering of Data Dimensions, Glyph Layout Options
II.8 Linked Views for Visual Exploration
  200-203 Linked Views
II.9 Linked Data Views
  235-240 Examples of Linked 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 Multidimensional Scaling
  316-318 Proximity Data, Similarity Measures
III.4 Huge Multidimensional Data Visualization: Back to the Virtue
of Principal Coordinates and Dendrograms in the New Computer Age
  350-387 Principal Component Analysis, Hierarchical Clustering, Partitioning clustering
III.6 Structured Sets of Graphs
III.9 Smoothing Techniques for Visualisation
III.11 Visualizing Cluster Analysis and Finite Mixture Models
  561-580 Dendrograms, Heatmaps, Cluster analysis, Neighborhood Graphs, Self-organizing maps
III.13 Mosaic Plots and Their Variants
III.14 Parallel Coordinates: Visualization, Exploration
and Classification of High-Dimensional Data
III.15 Matrix Visualization

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