Rating:
(5 reviews)
Author: William S. Cleveland
ISBN : 0963488406
New from $46.55
Format: PDF, EPUB
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Visualizing Data is about visualization
tools that provide deep insight into the
structure of data. There are graphical
tools such as coplots, multiway dot plots,
and the equal count algorithm. There are
fitting tools such as loess and bisquare
that fit equations, nonparametric curves,
and nonparametric surfaces to data.
But the book is much more than just a
compendium of useful tools. It conveys a
strategy for data analysis that stresses
the use of visualization to thoroughly
study the structure of data and to check
the validity of statistical models fitted
to data. The result of the tools and the
strategy is a vast increase in what you can
learn from your data. The book demonstrates
this by reanalyzing many data sets from the
scientific literature, revealing missed
effects and inappropriate models fitted
to data.
Books with free ebook downloads available Visualizing Data Free Download
- Hardcover: 360 pages
- Publisher: Hobart Press; 1 edition (March 1, 1993)
- Language: English
- ISBN-10: 0963488406
- ISBN-13: 978-0963488404
- Product Dimensions: 7.5 x 10.2 inches
- Shipping Weight: 2.2 pounds (View shipping rates and policies)
Visualizing Data Free Download
This book was recommended highly to me by a former university professor (and now consultant). It exceeds my expectations. The figures and acompanying explanations are very clear, as is the language throughout. Visualizing Data discusses several tools with which I was not familiar, and clarifies tools that I thought I understood (including box plots). I have taken several university statistics classes, but I believe this book would help anyone involved in displaying or interpreting data. A picture may be worth a thousand words, but when your business depends on it, a well-defined plot or graph can be worth much more. Visualizing Data enables you to produce well-defined plots and graphs with confidence.
By A Customer
First and foremost, this book has a definite audience: people who need to produce graphs for somewhat sophisticated audiences. This is not a book about producing graphs for mass marketing or other flashy arenas. While this point is implicit throughout the book, it is not often stated explicitly.
The biggest strength of this book, and what makes it worth the purchase, is Cleveland's discussion about the relationship between graphing and visual processing. We've all seen a thousand pie charts, for example, but it turns out that people are not good at visually processing pie charts. The way we process visually has implications for everything from line graph construction to color choices to deciding how to code data on XY scatter plots. Although this information does exist in other places, Cleveland brings it together concisely here. Some of the discussion can get a bit technical, however, so be warned.
This is a great first book to read to learn more about how to construct graphs, and it has enough references to point you to other sources if you feel you need more. I myself have purchased several other books about the visual representation of data (including Cleveland's other book "
The Elements of Graphing Data"), but this is where I started, and the information in this book has enriched my understanding of those other books immeasurably.