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About
the Book
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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.
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