Graphical exploratory data analysis. (English) Zbl 0609.62002

Springer Texts in Statistics. New York etc.: Springer-Verlag. IX, 314 p. DM 65.00 (1986).
Portraying data graphically contributes toward a clearer and more penetrative understanding of data, and also makes sophisticated statistical data analyses more marketable. This book attempts to give a sound overview of most of the well-known and widely-used methods of analyzing and portraying data graphically. Throughout the book the emphasis is on exploratory techniques.
The chapter headings are: The role of graphics in data exploration; Graphics for univariate and bivariate data; Graphics for selecting a probability model; Visual representation of multivariate data; Cluster analysis; Multidimensional scaling; Graphical representations in regression analysis; AID: Exploratory techniques for analyzing extensive data sets; Control charts; Time series representations; Further useful graphics.
Real-life data are used throughout. The focus in the book is mainly on procedures for which computer software is readily available. Different computer program packages are used by way of illustration and an attempt is made each time to indicate both the input and the output.
Reviewer: S.R.Wilson


62-07 Data analysis (statistics) (MSC2010)
62-02 Research exposition (monographs, survey articles) pertaining to statistics
62H25 Factor analysis and principal components; correspondence analysis
62H30 Classification and discrimination; cluster analysis (statistical aspects)
62M10 Time series, auto-correlation, regression, etc. in statistics (GARCH)