Antony Unwin, Martin Theus, Heike Hofmann ... 271 pages - Publisher: Springer; (July, 2006) ... Language: English - ISBN-10: 0387329064 - ISBN-13: 978-0387329062 ...
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. All ideas are illustrated with displays from analyses of
real datasets and the importance of interpreting displays effectively is
emphasized. Graphics should be drawn to convey information and the book
includes many insightful examples. New approaches to graphics are
needed to visualize the information in large datasets and most of the
innovations described in this book are developments of standard
graphics. The book is accessible to readers with some experience of
drawing statistical graphics. Graphics are great for exploring data, but how can they be used for
looking at the large datasets that are commonplace to-day? 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. New approaches to
graphics are needed to visualize the information in large datasets and
most of the innovations described in this book are developments of
standard graphics. There are considerable advantages in extending
displays which are well-known and well-tried, both in understanding how
best to make use of them in your work and in presenting results to
others. It should also make the book readily accessible for readers who
already have a little experience of drawing statistical graphics. All
ideas are illustrated with displays from analyses of real datasets and
the authors emphasize the importance of interpreting displays
effectively. Graphics should be drawn to convey information and the book
includes many insightful examples.