Graphics of Large Datasets

Antony Unwin, Martin Theus, Heike Hofmann

About the Book 

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.
Graphics of Large Datasets
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.


About the Authors

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