Graphical Exploratory Data Analysis (Springer Texts in Statistics)

Portraying data graphically certainly contributes toward a clearer and more penetrative understanding of data and also makes sophisticated statistical data analyses more marketable. This realization has emerged from many years of experience in teaching students, in research, and especially from engaging in statistical consulting work in a variety of subject fields. Consequently, we were somewhat surprised to discover that a comprehen­ sive, yet simple presentation of graphical exploratory techniques for the data analyst was not available. Generally books on the subject were either too incomplete, stopping at a histogram or pie chart, or were too technical and specialized and not linked to readily available computer programs. Many of these graphical techniques have furthermore only recently appeared in statis­ tical journals and are thus not easily accessible to the statistically unsophis­ ticated data analyst. This book, therefore, attempts to give a sound overview of most of the well-known and widely used methods of analyzing and portraying data graph­ ically. Throughout the book the emphasis is on exploratory techniques. Real­ izing the futility of presenting these methods without the necessary computer programs to actually perform them, we endeavored to provide working com­ puter programs in almost every case. Graphic representations are illustrated throughout by making use of real-life data. Two such data sets are frequently used throughout the text. In realizing the aims set out above we avoided intricate theoretical derivations and explanations but we nevertheless are convinced that this book will be of inestimable value even to a trained statistician. Front Matter....Pages i-ix The Role of Graphics in Data Exploration....Pages 1-12 Graphics for Univariate and Bivariate Data....Pages 13-35 Graphics for Selecting a Probability Model....Pages 36-53 Visual Representation of Multivariate Data....Pages 54-72 Cluster Analysis....Pages 73-104 Multidimensional Scaling....Pages 105-175 Graphical Representations in Regression Analysis....Pages 176-223 CHAID and XAID: Exploratory Techniques for Analyzing Extensive Data Sets....Pages 224-244 Control Charts....Pages 245-263 Time Series Representations....Pages 264-282 Further Useful Graphics....Pages 283-299 Back Matter....Pages 300-304