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The Elements of Graphing Data [Hardcover]

William S. Cleveland (Author)
5.0 out of 5 stars  See all reviews (4 customer reviews)

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Book Description

October 1, 1994 0963488414 978-0963488411 2
Visualization methods in science and
technology. Many new ideas and methods;
many not widely known before. Excellent
methodological resource for research
workers.

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Editorial Reviews

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

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.

Product Details

  • Hardcover: 297 pages
  • Publisher: Hobart Press; 2 edition (October 1, 1994)
  • Language: English
  • ISBN-10: 0963488414
  • ISBN-13: 978-0963488411
  • Product Dimensions: 9.8 x 7.2 x 1.1 inches
  • Shipping Weight: 2 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (4 customer reviews)
  • Amazon Best Sellers Rank: #547,914 in Books (See Top 100 in Books)

 

Customer Reviews

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Average Customer Review
5.0 out of 5 stars (4 customer reviews)
 
 
 
 
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36 of 39 people found the following review helpful:
5.0 out of 5 stars Must-have for anyone designing any kind of graph., July 29, 1999
By 
This review is from: The Elements of Graphing Data (Hardcover)
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.

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19 of 19 people found the following review helpful:
5.0 out of 5 stars A necessary addition to the scientists library, May 16, 2001
This review is from: The Elements of Graphing Data (Hardcover)
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.

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5.0 out of 5 stars A must for oil-gas, business, consulting, November 16, 2011
This review is from: The Elements of Graphing Data (Hardcover)
This was handed to me during my undergrad years, in fact one could not graduate unless one mastered this. I have relied upon it heavily during my consulting work, and now use it extensively in oil-gas, business, and industrial consulting. Data has to be presented accurately, and sometimes the big picture can easily be conveyed with a single graph, but caution must be taken when reading it. This book takes graph making to a new level. I bring it with me during board meetings, research meetings, etc. Big in the oil-gas sector.
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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
log body weight, nonprimate mammals, log population, four scale lines, multiway dot plot, color level plot, initial loess, visual reference grids, monthly subseries, overlapping plotting symbols, scale line shows, horizontal scale line, vertical scale line, data rectangle, juxtaposed panels, loge seconds, divided bar charts, loess curve, visual assembly, superposed curves, graphical perception, vertical line plot, abrasion loss, tick mark labels, minus one standard error
Key Phrases - Capitalized Phrases (CAPs): (learn more)
The Elements, Graphical Methods, United States, Weber's Law, East Germany, United Kingdom, Hershey Bar, West Germany, Year Year, New York City, Lorne Lavas, Three Mile Island, Log Time, Time Hibernating, Time After Detonation, Log Graph Area, Darrell Huff, Superposed Data Sets, Graphing Data
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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