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Books

SAS System for Statistical Graphics

Publication information: Michael Friendly, SAS System for Statistical Graphics, First Edition, 1991, Cary, NC: SAS Press, ISBN: 978-1-55544-441-9.
Publisher's web site: http://www.sas.com/apps/pubscat/bookdetails.jsp?pc=56143

Links to further information

• Outline of The SAS System for Statistical Graphics, 1st Edition
• Statistical graphics for multivariate data(SUGI16 paper).
• Macro Programs from The SAS System for Statistical Graphics
• SAS Macros for Statistical Graphics
• Designer Graphics - Anatomy of Some SAS Macros for Statistical Graphics

Visualizing Categorical Data

Publication information: Michael Friendly, Visualizing Categorical Data, 2000, Cary, NC: SAS Press, ISBN: ISBN 1-58025-660-0.
Publisher's web site: http://www.sas.com/apps/pubscat/bookdetails.jsp?pc=56571

Graphical methods for quantitative data are well-developed and widely used, but comparable methods for categorical data (contingency tables, discrete response data) were neither. Visualizing Categorical Data was written to extend the full range of statistical graphics to such data. Many real applications are described and illustrated.

Links to further information

• Local web page for Visualizing Categorical Data
• SAS Macros for Statistical Graphics
• Visualizing Categorical Data with SAS and R [Short course]
• The vcd package for R

Visual Statistics

Publication information: Forrest W. Young, Pedro M. Valero-Mora and Michael Friendly, Visual Statistics: Seeing Data with Dynamic Interactive Graphics, 2006, New York, NY: Wiley Series in Probability and Statistics. ISBN: 978-0-471-68160-1
Publisher's web site: http://ca.wiley.com/WileyCDA/WileyTitle/productCd-0471681601.html

This book, Visual Statistics: Seeing Data with Dynamic Interactive Graphics, written with Forrest W. Young and Pedro Valero-Mora, describes a paradigm for doing statistical analysis in a purely visual way with dynamic interactive graphics. It illustrates these ideas using ViSta: The Visual Statistics System, freely-available on the internet.

Links to further information

• Companion web page for Visual Statistics