This textbook introduces exploratory data analysis (EDA) and covers
the range of interesting features we can expect to find in data.
The book also explores the practical mechanics of using R to do
EDA. Based on the author's course at the University of Connecticut,
the book assumes no prior exposure to data analysis or programming,
and is designed to be as non-mathematical as possible. Exercises
are included throughout, and a Solutions Manual will be available.
The author will also provide a supplemental R package through the
Comprehensive R Archive Network that will include implementations
of some of the features in this book, along with data examples,
tools, and datasets.
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