Visualizing categorical data in ViSta
Computational Statistics & Data Analysis - Data visualization
Effect ordering for data displays
Computational Statistics & Data Analysis - Data visualization
Bioinformatic Insights from Metagenomics through Visualization
CSB '05 Proceedings of the 2005 IEEE Computational Systems Bioinformatics Conference
Design and evaluation of visualization support to facilitate decision trees classification
International Journal of Human-Computer Studies
Genetic Programming and Evolvable Machines
Analysis and Interpretation of Visual Hierarchical Heavy Hitters of Binary Relations
ADBIS '08 Proceedings of the 12th East European conference on Advances in Databases and Information Systems
A Tool for Analyzing Categorical Data Visually with Granular Representation
Proceedings of the Symposium on Human Interface 2009 on Human Interface and the Management of Information. Information and Interaction. Part II: Held as part of HCI International 2009
Interactive visual decision tree classification
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: interaction platforms and techniques
Pixelisation-based statistical visualisation for categorical datasets with spreadsheet software
VIEW'06 Proceedings of the 1st first visual information expert conference on Pixelization paradigm
Interaction graphs for multivariate binary data
IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence
Visualization of multi-domain ranked data
Search computing
Lucha libre: visualising behind the mask
EVA'11 Proceedings of the 2011 international conference on Electronic Visualisation and the Arts
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From the Publisher: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 datasets, 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. Supports releases 6.09 and higher of SAS software.Author Biography: Michael Friendly, PhD 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.