This companion to Show Me the Numbers teaches the fundamental principles and practices of quantitative data analysis. Employing a methodology that ...
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Apr 13, 2011
I'm still not sure what this guy is gonna tell me that Tufte hasn't already. I think he may reveal Tufte's prejudices--Tufte wants every graph to be a piece of art, whereas Few recognizes the importance of dynamic connections, automated methods of visualization, and interaction. I think.
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Jul 30, 2011
Ryan
rated it: 
A generally mediocre and long-winded book, made longer by the waste of white space. I can't believe this book was over 300 pages. I especially disliked how he keeps quoting Colin Ware in large blocks and using all of Ware's ideas. If I wanted to hear Ware's ideas I would go and read his book. Most of the ideas are half-baked and don't go far enough to satisfy the reader. There are also 2 random appendices: "How to express time as a percentage in Excel" and "How to Adjust for Infla
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Feb 26, 2011
Not exactly light reading, but so far it seems pretty useful. Aimed at analytic types who find themselves needing to express ideas in pictures rather than words/numbers. It doesn't get too far beyond bar/line/scatterplot graphs, and Few definitely isn't much for aesthetics. But it is (so far) a pretty good primer on what types of visuals work with what types of data.
Feb 07, 2012
Vincentjones
rated it: 
It is for business intelligence rather than for academic or technical writing.
It is an introduction for all kinds of skills and tools rather than an detailed textbook to show you how to draw plots step by step.
I've learned some interesting software I've never heard about: Spotfire, tableau, panopticon.
It is an introduction for all kinds of skills and tools rather than an detailed textbook to show you how to draw plots step by step.
I've learned some interesting software I've never heard about: Spotfire, tableau, panopticon.
Aug 16, 2011
Karen
rated it: 
I read this book for my UX Bookclub. I never would have read it otherwise, and now I am so glad I did. It's a reference book that will be on my shelf for years. I have learned a lot from it and am now viewing statistics in newspaper articles with a completely different perspective. Another person in the bookclub agreed with me: he has started recommending this book to others. It's one that many of my peers could really use.
Despite the 300+ pages, it was an easy and enjoyable read. Nice layo More...
Despite the 300+ pages, it was an easy and enjoyable read. Nice layo More...
Dec 25, 2010
Dale
rated it:
This is a good overview of simple data visualization techniques. There's nothing really earth shattering, and most of the techniques are readily achieved in common data analysis software such as Excel, Tableau, and R.
Mar 05, 2011
Mike
rated it:
think this is geared mostly to people with little to no experience in making data visualizations. Since I have some background, the majority of the book was not useful. However, some of the guidelines on what types of charts work best with what types of analysis was handy, as were some of the aesthetics points like ideal aspect ratios
Jan 27, 2012
Phil
rated it: 
Awesome book on data visualization giving best practices to analyze and interpret data using different graphing methods.
Aug 26, 2011
Hom
rated it:
Clear and well presented. Unfortunately, it is more than I can absorb in one reading.
Jan 02, 2010
Zacho
rated it:
For anyone who has ever had to make sense of lots of data. Easy to read, lots of great tips.
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