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An accessible overview of select robust methods for data reduction, this book covers exploratory data analysis, dimension reduction techniques, and sample reduction techniques. Emphasizing the practical application of the methods and interpretation of the results, theoretical details are kept to a minimum. It includes numerous detailed examples and case studies to illustrate the methods as well as R software for all the examples and an appendix discussing the software in general. All code and data will be available at a dedicated book website.