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Interactive and Dynamic Graphics for Data Analysis With R and GGobi [Paperback]

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  • Category: Books (Computers)
  • Author:  Cook, Dianne, Swayne, Deborah F.
  • Author:  Cook, Dianne, Swayne, Deborah F.
  • ISBN-10:  0387717617
  • ISBN-10:  0387717617
  • ISBN-13:  9780387717616
  • ISBN-13:  9780387717616
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Mar-2007
  • Pub Date:  01-Mar-2007
  • SKU:  0387717617-11-SPRI
  • SKU:  0387717617-11-SPRI
  • Item ID: 100807417
  • List Price: $54.99
  • Seller: ShopSpell
  • Ships in: 5 business days
  • Transit time: Up to 5 business days
  • Delivery by: Jul 03 to Jul 05
  • Notes: Brand New Book. Order Now.

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.

This book is about using interactive and dynamic plots on a computer screen as part of data exploration and modeling, both alone and as a partner with static graphics and non-graphical computational methods. The area of int- active and dynamic data visualization emerged within statistics as part of research on exploratory data analysis in the late 1960s, and it remains an active subject of research today, as its use in practice continues to grow. It now makes substantial contributions within computer science as well, as part of the growing ?elds of information visualization and data mining, especially visual data mining. The material in this book includes: An introduction to data visualization, explaining how it di?ers from other types of visualization. Adescriptionofourtoolboxofinteractiveanddynamicgraphicalmethods. An approach for exploring missing values in data. An explanation of the use of these tools in cluster analysis and supervised classi?cation. An overview of additional material available on the web. A description of the data used in the analyses and exercises. The books examples use the software R and GGobi. R (Ihaka & Gent- man 1996, RDevelopment CoreTeam2006) isafreesoftware environment for statistical computing and graphics; it is most often used from the command line, provides a wide variety of statistical methods, and includes highquality staticgraphics.RaroseintheStatisticsDepartmentoftheUniversityofAu- land and is now developed and maintained by a glC<
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