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This book explores a variety of graphical displays that are useful for visualizing multivariate data. The basic problem involves representing information that varies along several dimensions when the display medium is inherently two-dimensional. In order to address this problem, Jacoby introduces and explores the concept of a `data space'.
Considers how "real-world" observations can be interpreted to convert them into data to be analyzed, so as to facilitate more effective use of scaling techniques. The text introduces the most appropriate scaling strategies for different research situations.
Graphical displays that researchers can employ as an integral part of the data analysis process are frequently more revealing than traditional, numerical summary statistics. Providing strategies for examining data more effectively, this volume focuses on both univariate and bivariate methods.
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