Graphical Methods for Data Analysis (Wadsworth & Brooks/Cole Statistics/Probability Series) [Hardcover]

John M. Chambers (Author), William S. Cleveland (Author), Paul A. Tukey (Author), Beat Kleiner (Author)

Product Details

• Hardcover: 395 pages
• Publisher: Duxbury Press (1983)
• Language: English
• ISBN-10: 053498052X
• ISBN-13: 978-0534980528
• Product Dimensions: 9.3 x 6.8 x 1.1 inches
• Shipping Weight: 1.8 pounds
• Average Customer Review: 4.3 out of 5 stars  See all reviews (3 customer reviews)
• Amazon Best Sellers Rank: #1,397,485 in Books (See Top 100 in Books)

Customer Reviews

Most Helpful Customer Reviews

8 of 8 people found the following review helpful:

4.0 out of 5 stars Old But Gold, March 21, 2005

By 

Bobo the College Student (Jungle of Los Angeles, CA) - See all my reviews

This review is from: Graphical Methods for Data Analysis (Wadsworth & Brooks/Cole Statistics/Probability Series) (Hardcover)

This book is an excellent introductory book to graphical data analysis. If you are an advanced reader, this book is a good one to have lying around for reference (especially since it costs so little and does not take up much space). The book relies heavily on the use of S-PLUS, a grapical and statistical analysis program. One thing that this text lacks is quantity of examples. The text is also lacking in that there is a lot of material in simple paragraph format rather than broken down steps of procedures. However, the quality of the examples that are included is very high and they usually encompass theoretical concepts completely. With that said, this book covers a wide variety of methods of analysis ranging from simple histograms to advanced data transformation and also touches on a bit of probability.

1 of 1 people found the following review helpful:

5.0 out of 5 stars Still relevant, October 1, 2010

By 

Sean Carmody (Sydney, Australia) - See all my reviews
(REAL NAME)   

Amazon Verified Purchase

This review is from: Graphical Methods for Data Analysis (Wadsworth & Brooks/Cole Statistics/Probability Series) (Hardcover)

This book is certainly of its time, and the rapid development of computer graphical tools since publication has meant that there are options for data exploration which were unachievable at the time of writing. Nevertheless, it makes for an excellent primer for how to think about exploring data and why various graphical approaches make sense before get caught up in the details of how to finesse your chart of choice. It is one of the classics in the field of data visualization.

4.0 out of 5 stars Graphical Methods for Data Analysis, Chambers, August 20, 2011

By 

Pedro J. Ramirez (San German, Puerto Rico, PR) - See all my reviews

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This review is from: Graphical Methods for Data Analysis (Statistics) (Paperback)

Very well illustrated and with detailed guides to do right the right graph. Incisive in the presentation with a scholar context. Excellent book on its field.