Visualizing Categorical Data - Softcover

Friendly, Michael

Softcover

ISBN 10: 1580256600 ISBN 13: 9781580256605

Publisher: SAS Institute, 2000

Synopsis

This book offers many new and more easily accessible graphical methods for representing categorical data using SAS software. Graphical methods for quantitative data are well developed and widely used. However, until now with this comprehensive treatment, few graphical methods existed for categorical data. In this innovative book, Friendly presents many aspects of the relationships among variables, the adequacy of a fitted model, and possibly unusual features of the data that can best be seen and appreciated in an informative graphical display. Filled with programs and data sets, this book focuses on the use, understanding, and interpretation of results. Where necessary, the statistical theory with a well-written explanation is also provided. Readers will also appreciate the implementation of these methods in the general macros and programs that are described in the book.

About this title

About the Author

Michael Friendly, PhD brings a tremendous amount of experience to the conceptualization, research, and writing of this invaluable text. With expertise in statistics, graphics, and macro writing, Michael has taught graduate-level courses in Multivariate Data Analysis and Computer Methods in Psychology using SAS software for over 25 years. His research includes the development of visulization methods to problems in Cognitive Psychology. Many of the new methods discussed in this book were developed or extended by Michael. He is also the author of SAS System for Statistical Graphics, First Edition.

Review

Author of SAS System for Statistical Graphics, Michael Friendly is once again on the frontier of visualization of statistical information with his new book on methods to explore and summarize categorical data. This book is an excellent resource for anyone who analyzes categorical data, from the statistical novice to the seasoned statistical professional. The author utilizes many real-life examples such as data from the sinking of the Titanic to clearly explain the statistics and novel visualization methods. He dramatically unfolds the story of the data through the integration of data analysis, graphical displays, and interpretation. The book provides over 30 macros and programs that can be used to easily generate graphic displays. This book is enjoyable to read and provides a fresh look at categorical data analysis from a visualization perspective, making the statistics come alive. --Sandy Donaghy, Senior Statistician, NC State University

Edition details

• Publisher: SAS Institute
• Publication date: 2000
• ISBN 10: 1580256600
• ISBN 13: 9781580256605
• Binding: Paperback
• Language: English
• Number of pages: 436