Handbook of Data Visualization

Antony Unwin, Chun-houh Chen, Wolfgang K. Härdle 1. 1 Computational Statistics and Data Visualization . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 Data Visualization and Theory . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ....

Descripción completa

Detalles Bibliográficos
Autor principal: Chen, Chun-houh (-)
Autor Corporativo: SpringerLink (-)
Otros Autores: Härdle, Wolfgang, Unwin, Antony
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg 2008.
Colección:Springer Handbooks Comp.Statistics.
Springer eBooks.
Acceso en línea:Conectar con la versión electrónica
Ver en Universidad de Navarra:https://innopac.unav.es/record=b32744389*spi
Tabla de Contenidos:
  • Data Visualization
  • Principles
  • A Brief History of Data Visualization
  • Good Graphics?
  • Static Graphics
  • Data Visualization Through Their Graph Representations
  • Graph-theoretic Graphics
  • High-dimensional Data Visualization
  • Multivariate Data Glyphs: Principles and Practice
  • Linked Views for Visual Exploration
  • Linked Data Views
  • Visualizing Trees and Forests
  • Methodologies
  • Interactive Linked Micromap Plots for the Display of Geographically Referenced Statistical Data
  • Grand Tours, Projection Pursuit Guided Tours, and Manual Controls
  • Multidimensional Scaling
  • Huge Multidimensional Data Visualization: Back to the Virtue of Principal Coordinates and Dendrograms in the New Computer Age
  • Multivariate Visualization by Density Estimation
  • Structured Sets of Graphs
  • Regression by Parts: Fitting Visually Interpretable Models with GUIDE
  • Structural Adaptive Smoothing by Propagation–Separation Methods
  • Smoothing Techniques for Visualisation
  • Data Visualization via Kernel Machines
  • Visualizing Cluster Analysis and Finite Mixture Models
  • Visualizing Contingency Tables
  • Mosaic Plots and Their Variants
  • Parallel Coordinates: Visualization, Exploration and Classification of High-Dimensional Data
  • Matrix Visualization
  • Visualization in Bayesian Data Analysis
  • Programming Statistical Data Visualization in the Java Language
  • Web-Based Statistical Graphics using XML Technologies
  • Selected Applications
  • Visualization for Genetic Network Reconstruction
  • 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.