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.
From the reviews:
"Anyone interested in modern techniques for visualizing data
will be well rewarded by reading this book. There is a wealth of
important plotting types and techniques." Paul Murrell for the
Journal of Statistical Software, December 2006
"This fascinating book looks at the question of visualizing
large datasets from many different perspectives. Different authors
are responsible for different chapters and this approach works well
in giving the reader alternative viewpoints of the same problem.
Interestingly the authors have cleverly chosen a definition of
'large dataset'. Essentially they focus on datasets with the order
of a million cases. As the authors point out there are now many
examples of much larger datasets but by limiting to ones that can
be loaded in their entirety in standard statistical software they
end up with a book that has great utility to the practitioner
rather than just the theorist. Another very attractive feature of
the book is the many colour plates, showing clearly what can now
routinely be seen on the computer screen. The interactive nature of
data analysis with large datasets is hard to reproduce in a book
but the authors make an excellent attempt to do just this." P.
Marriott for the Short Book Reviews of the ISI
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