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.
Review:
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
An excellent stimulus for deeper thinking
about display techniques. --The American Cartographer
Ideally, everyone interested in getting
the most out of their data or presenting
data clearly and concisely should have
a copy handy. --Meteorological Magazine
An excellent stimulus for deeper thinking
about display techniques. --The American Cartographer
Ideally, everyone interested in getting
the most out of their data or presenting
data clearly and concisely should have
a copy handy. --Meteorological Magazine
An excellent stimulus for deeper thinking
about display techniques. --The American Cartographer
Ideally, everyone interested in getting
the most out of their data or presenting
data clearly and concisely should have
a copy handy. --Meteorological Magazine
An excellent stimulus for deeper thinking
about display techniques. --The American Cartographer
"About this title" may belong to another edition of this title.