- Series: Use R!
- Paperback: 188 pages
- Publisher: Springer; 2007 edition (December 12, 2007)
- Language: English
- ISBN-10: 0387717617
- ISBN-13: 978-0387717616
- Product Dimensions: 6.1 x 0.5 x 9.2 inches
- Shipping Weight: 13.8 ounces (View shipping rates and policies)
- Average Customer Review: 4 customer reviews
- Amazon Best Sellers Rank: #2,073,160 in Books (See Top 100 in Books)
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Interactive and Dynamic Graphics for Data Analysis: With R and GGobi (Use R!) 2007th Edition
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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.
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The main strength of the book is providing very good examples depicting how dynamic graphics based analyses can help analytical methods. I especially consider the chapters on supervised classification and clustering very well designed. Many critical aspects are stressed and the importance of "looking at data before diving into support vector machines, linear discrminant analysis, decision trees and self-organizing maps" is shown from different perspectives (pun intended ;-)
If you are serious about data visualization, data mining and statistics then this book *along* with the accompanying website will be a very good guide. The exercises at the end of each chapter will also provide challenges as well as valuable insights.
Users looking for an alternative might try the R package iplots, which has a somewhat smoother user interface; I ended up using both.