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Interactive and Dynamic Graphics for Data Analysis: With R and GGobi 2007 Edition
Contributor(s): Cook, Dianne (Author), Buja, A. (Contribution by), Swayne, Deborah F. (Author)
ISBN: 0387717617     ISBN-13: 9780387717616
Publisher: Springer
OUR PRICE:   $52.24  
Product Type: Paperback - Other Formats
Published: December 2007
Qty:
Annotation: This richly illustrated book describes the use of interactive and dynamic graphics as part of multidimensional data analysis. Chapters include clustering, supervised classification, and working with missing values. A variety of plots and interaction methods are used in each analysis, often starting with brushing linked low-dimensional views and working up to manual manipulation of tours of several variables. The role of graphical methods is shown at each step of the analysis, not only in the early exploratory phase, but in the later stages, too, when comparing and evaluating models.

All examples are based on freely available software: GGobi for interactive graphics and R for static graphics, modeling, and programming. The printed book is augmented by a wealth of material on the web, encouraging readers follow the examples themselves. The web site has all the data and code necessary to reproduce the analyses in the book, along with movies demonstrating the examples.

The book may be used as a text in a class on statistical graphics or exploratory data analysis, for example, or as a guide for the independent learner. Each chapter ends with a set of exercises.

The authors are both Fellows of the American Statistical Association, past chairs of the Section on Statistical Graphics, and co-authors of the GGobi software. Dianne Cook is Professor of Statistics at Iowa State University. Deborah Swayne is a member of the Statistics Research Department at AT&T Labs.

Additional Information
BISAC Categories:
- Computers | Databases - Data Mining
- Mathematics | Graphic Methods
Dewey: 001.422
LCCN: 2007925720
Series: Use R!
Physical Information: 0.44" H x 6.64" W x 9.18" (0.93 lbs) 188 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

This richly illustrated book describes the use of interactive and dynamic graphics as part of multidimensional data analysis. Chapter topics include clustering, supervised classification, and working with missing values. A variety of plots and interaction methods are used in each analysis, often starting with brushing linked low-dimensional views and working up to manual manipulation of tours of several variables. The book is augmented by a wealth of online material.