Product Description

Visualization methods in science and
technology. Many new ideas and methods;
many not widely known before. Excellent
methodological resource for research
workers.

Product Details

• Amazon Sales Rank: #96676 in Books
• Published on: 1994-10-01
• Original language: English
• Number of items: 1
• Binding: Hardcover
• 297 pages

Review
An excellent stimulus for deeper thinking
about display techniques. --The American Cartographer

An excellent stimulus for deeper thinking
about display techniques. --The American Cartographer

Certain kinds of tendency toward
bad graphics could be cured if as many
authors as possible would not just read,
but, in the words of the Anglican Prayer
Book, `learn, mark, and inwardly digest'
this volume. --Atmospheric Environment

Ideally, everyone interested in getting
the most out of their data or presenting
data clearly and concisely should have
a copy handy. --Meteorological Magazine

Ideally, everyone interested in getting
the most out of their data or presenting
data clearly and concisely should have
a copy handy. --Meteorological Magazine

About the Author
William S. Cleveland is the Shanti
S. Gupta Distinguished Professor at
Purdue University, and splits his time
between the Statistics and Computer
Science Departments. Throughout his
career, he has worked in research
areas --- statistical model building,
local machine learning, visualization,
time series, and data mining --- that
have broadened the scope of research in
learning from data. He has developed
many methods of visualization, statitics,
and machine learning that are widely used
throughout the sciencetific community.
Cleveland has published over 100
papers on his research in a wide
range of scientific journals, books,
and proceedings. His two books, The
Elements of Graphing Data and Visualizing
Data have been reviewed in many journals
from a wide variety of disciplines, and
Elements was selected for the Library
of Science.

Customer Reviews

Must-have for anyone designing any kind of graph.
Tufte shows you why it's important to do graphs well. Cleveland shows you _how_.

The last quarter of the book details experiments in human visual perception that rank how well we detect certain things: relative angles not on a common baseline (i.e. pie charts) justly come out at the bottom of the list.

One of a only handful of books I've labelled "JXH ONLY". If I loan you my copy, know that you are special.

A necessary addition to the scientists library
William Cleveland clearly describes how data can be presented to great effect. His description of visual perception spell out the "how to's" of graphing data. While many graphing programs are available in today's high technology environment, Cleveland's descriptions of how data can be presented into graphical format is enlightening. The book provides great examples of both superior and poor graphing presentation, focusing on how to encode graphs to allow for straightforward data analysis.

"The Elements of Graphiing Data" is a must for those who graph scientific data.

Stuff U Hadn't ThoughtOf, StartHere:BecomeMasterDataVisualzr
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).