Statistical Graphics for Visualizing Multivariate Data

Statistical Graphics for Visualizing Multivariate Data
Author: William G. Jacoby
Publisher: SAGE
Total Pages: 116
Release: 1998-02-06
Genre: Medical
ISBN: 9780761908999

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Jacoby explores a variety of graphical displays that are useful for visualising multivariate data, and introduces the concept of a 'data space'. Several methods for coding information directly into the plotting symbols are explained.


Statistical Graphics for Visualizing Multivariate Data
Language: en
Pages: 116
Authors: William G. Jacoby
Categories: Medical
Type: BOOK - Published: 1998-02-06 - Publisher: SAGE

GET EBOOK

Jacoby explores a variety of graphical displays that are useful for visualising multivariate data, and introduces the concept of a 'data space'. Several methods
Statistical Graphics for Visualizing Multivariate Data
Language: en
Pages: 116
Authors: William G. Jacoby
Categories: Medical
Type: BOOK - Published: 1998-02-06 - Publisher: SAGE

GET EBOOK

Jacoby explores a variety of graphical displays that are useful for visualising multivariate data, and introduces the concept of a 'data space'. Several methods
Lattice
Language: en
Pages: 283
Authors: Deepayan Sarkar
Categories: Mathematics
Type: BOOK - Published: 2008-02-15 - Publisher: Springer Science & Business Media

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Written by the author of the lattice system, this book describes lattice in considerable depth, beginning with the essentials and systematically delving into sp
Graphics for Statistics and Data Analysis with R
Language: en
Pages: 486
Authors: Kevin J Keen
Categories: Mathematics
Type: BOOK - Published: 2010-04-26 - Publisher: CRC Press

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Graphics for Statistics and Data Analysis with R presents the basic principles of sound graphical design and applies these principles to engaging examples using
Graphics of Large Datasets
Language: en
Pages: 276
Authors: Antony Unwin
Categories: Computers
Type: BOOK - Published: 2007-06-12 - Publisher: Springer Science & Business Media

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This book shows how to look at ways of visualizing large datasets, whether large in numbers of cases, or large in numbers of variables, or large in both. All id