Handbook of Data Visualization
Antony Unwin, Chun-houh Chen, Wolfgang K. Härdle 1. 1 Computational Statistics and Data Visualization . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 Data Visualization and Theory . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ....
Enregistré dans:
| Auteur principal: | |
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| Autres auteurs: | , |
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Édition: | 1st ed. 2008. |
| Collection: | Springer Handbooks of Computational Statistics
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| Sujets: | |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
L'impression du document génère 932 p. Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Handbook of Data Visualization, Texte imprimé, 9783540821786 • Handbook of data visualization, [édité par]Chun-houh Chen, Wolfgang, Wolfgang Härdle, Antony Unwin, Berlin, Springer, 2008, 1 vol. (XIII-936 p.), Springer handbooks of computational statistics, 978-3-540-33036-3 • Handbook of Data Visualization, Texte imprimé, 9783662500743 |
Table des matières:
- 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