Visualizing categorical data in ViSta

Authors:
Pedro M. Valero-Mora;Forrest W. Young;Michael Friendly
Affiliations:
Departmento de Methodología de las Ciencias del Comportamiento, Facultad de Psicología, Universitat de València-EG, C/Blasco Ibánez 21, Valencia CP: 46021, Spain;Department of Psycology, University of North Carolina, CB 3270 Davie Hall, Room 341B, Chapel Hill, NC;Psychology Department, University of York, 4700 Keele Street, Toronto, Ontario, Canada M3I 1P3
Venue:
Computational Statistics & Data Analysis - Data visualization
Year:
2003

Citing 3
Cited 1

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Abstract

The modules in the statistical package ViSta related to categorical data analysis are presented These modules are: visualization of frequency data with mosaic and bar plots, correspondence analysis, multiple correspondence analysis and loglinear analysis. All these methods are implemented in ViSta with a big emphasis on plots and graphical representations of data, as well as interactivity for the user with the system. These provide a system that has shown to be easy, useful, and powerful, both for novice and experienced users.