Handbook of Data Visualization

Häftad, Engelska, 2016

AvChun-houh Chen,Wolfgang Karl Härdle,Antony Unwin,Wolfgang Karl Hardle,Chun-Houh Chen

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1 Computational Statistics and Data Visualization . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 Data Visualization and Theory . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 Presentation and Exploratory Graphics . 4 Graphics and Computing . 2 The Chapters . Part IV . 3 Outlook .

Produktinformation

Utgivningsdatum2016-08-23
Mått155 x 235 x 51 mm
Vikt1 410 g
FormatHäftad
SpråkEngelska
SerieSpringer Handbooks of Computational Statistics
Antal sidor936
FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN9783662500743

Tillhör följande kategorier

Tillämpad datateknik inom Data och it
Matematisk statistik inom Naturvetenskap och teknik
Systemvetenskap och AI inom Data och it
Biovetenskap inom Naturvetenskap och teknik
Affärsapplikationer inom Data och it

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.

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)