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This richly illustrated book describes utilizing interactive and dynamic graphics as part of multidimensional data analysis. Chapters embrace clustering, supervised classification, and working with missing values. Various plots and interaction methods are utilized in each analysis, sometimes starting with brushing linked low-dimensional views and working as a lot as information manipulation of excursions of quite a lot of variables. The place of graphical methods is confirmed at each step of the analysis, not solely inside the early exploratory half, nevertheless inside the later ranges, too, when evaluating and evaluating fashions. All examples are based mostly totally on freely on the market software: GGobi for interactive graphics and R for static graphics, modeling, and programming. The printed book is augmented by a wealth of cloth on the web, encouraging readers adjust to the examples themselves. The web site has all the data and code wanted to breed the analyses inside the book, along with movies demonstrating the examples. The book may be used as a textual content material in a class on statistical graphics or exploratory data analysis, for occasion, or as a info for the unbiased learner. Each chapter ends with a set of exercises. The authors are every Fellows of the American Statistical Affiliation, earlier chairs of the Half on Statistical Graphics, and co-authors of the GGobi software. Dianne Put together dinner is Professor of Statistics at Iowa State School. Deborah Swayne is a member of the Statistics Analysis Division at AT&T Labs.
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