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Interactive and Dynamic Graphics for Data Analysis

With R and GGobi

Dianne Cook, Deborah F. Swayne (Autoren)

Buch | Softcover

188 Seiten

2007
Springer-Verlag New York Inc.
978-0-387-71761-6 (ISBN)

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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 book’s 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 high–quality staticgraphics.RaroseintheStatisticsDepartmentoftheUniversityofAu- land and is now developed and maintained by a global collaborative e?ort.

TheToolbox.- Missing Values.- Supervised Classification.- Cluster Analysis.- Miscellaneous Topics.- Datasets.

Erscheint lt. Verlag	12.12.2007
Reihe/Serie	Use R!
Co-Autor	A. Buja, D. Temple Lang, H. Hofmann
Zusatzinfo	XVIII, 188 p.
Verlagsort	New York, NY
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Datenbanken ► Data Warehouse / Data Mining
Themenwelt	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
ISBN-10	0-387-71761-7 / 0387717617
ISBN-13	978-0-387-71761-6 / 9780387717616
Zustand	Neuware