The Elements of Graphing Data by
William S. Cleveland
A Necessary Addition To The Scientists Library
Visualization methods in science and
technology. Many new ideas and methods;
many not widely known before. Excellent
methodological resource for research
workers.
Personal Review: The Elements of Graphing Data by William S.
Cleveland
Even if you've been graphing for decades or are a scientific or statistical
sophisticate, this book is more valuable than you'd guess. You may know

some stuff to help make your graphing better, but I bet there are many
more principles, features, and techniques you simply never thought of.
This book has these. But for even more incisive visualizations, you should
get also Cleveland's "Visualizing Data". You'll need both books really.
(There's not much overlap.) Even though making use of graphical
perception principles increases the power of your graphs (the main topic of
"Elements of Graphing Data"), there are even more incisive graph types
you need to learn about; only a couple of these are in "Elements"; the
others are in "Visualizing Data". After digesting Cleveland's two books,
you will be a master data-behaviour elucidator. Once in a great while you
may need the old statistical inference paradigm (test-statistics & p-values),
but much more often you will be so glad you have the power of Cleveland's
visualization paradigm to use instead. But again, you will need both
"Elements of Graphing Data" and "Visualizing Data". Start with "Elements"
though. The book reads easily, is interesting and has a bonus for those
into perceptual psychology. A neato tidbit: the author's research results
on graphical perception were given in part as graphs -- leading to the nifty
"the medium is the message" thing. No matter what aspect of "Elements"
you look at, it is simply marvelous -- all substance, and several points (not
just a single point for a whole book like Tufte did in his book).
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