Interactive and dynamic graphics for data analysis pdf
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Interactive Graphics for Data Analysis: Principles and Examples
Part of the Use R! 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.
Dianne Cook and Deborah F. Order from: Springer , Amazon. Available now. Instructors should note that solutions for the exercises at the end of each chapter are available from the publisher. The R code on this page is licensed under the MIT license , which basically means you can do whatever you want with it. The GGobi blog has all the latest news, don't forget to check it out.