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Graphical Methods for Data Analysis (Statistics), by John M. Chambers, William S. Cleveland, Beat Kleiner, Paul A. Tukey
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- Sales Rank: #2722569 in Books
- Published on: 1983-02-01
- Original language: English
- Number of items: 1
- Dimensions: 9.75" h x 6.75" w x 1.00" l,
- Binding: Hardcover
- 395 pages
Most helpful customer reviews
2 of 2 people found the following review helpful.
Practical Graphical Data Analysis - Not for Beginners
By B. Urban
One of my favorite books on advanced graphical data analysis, along with books by Cleveland, Tukey, and Tufte.
Not for beginners, but great for aspiring researchers who want better understanding of their data through graphical techniques. People who rely purely on Excel or similar for their analysis will struggle to make use of many of these methods. For those interested in getting the most out of statistical packages, like R, your time with this book will be rewarded.
2 of 2 people found the following review helpful.
Still relevant
By Sean Carmody
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.
1 of 1 people found the following review helpful.
Excellent Resouce for a great price
By Jerry
This book is an excellent resource for how to present data. The presentation is straight forward, and the descriptions of how to make the various plots are easy to follow.
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