Graphics of large datasets : visualizing a million /

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Bibliographic Details
Author / Creator:	Unwin, Antony.
Imprint:	New York : Springer, c2006.
Description:	1 online resource (xiii, 271 p.) : ill. (some col.)
Language:	English
Series:	Statistics and computing Statistics and computing.
Subject:	Statistics -- Graphic methods. Computer graphics. Computer graphics. Statistics -- Graphic methods.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/8877904

Hidden Bibliographic Details
Other authors / contributors:	Theus, Martin. Hofmann, Heike.
ISBN:	0387329064 9780387329062 9780387379777 0387379770 9786610938421 6610938423
Notes:	Includes bibliographical references (p. [251]-261) and indexes.
Summary:	"Graphics are great for exploring data, but how can they be used for looking at the large datasets that are commonplace today? This book shows how to look at ways of visualizing large datasets, whether large in numbers of cases or large in numbers of variables or large in both. Data visualization is useful for data cleaning, exploring data, identifying trends and clusters, spotting local patterns, evaluating modeling output, and presenting results. It is essential for exploratory data analysis and data mining. Data analysts, statisticians, computer scientists - indeed anyone who has to explore a large dataset of their own - should benefit from reading this book."--Jacket.
Other form:	Print version: Unwin, Antony. Graphics of large datasets. New York : Springer, c2006 0387329064 9780387329062

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