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I've been reading Tukey's book "Exploratory Data Analysis". Being written in 1977, the book emphasizes paper/pencil methods. Is there a more 'modern' successor which takes into account that we can now instantaneosly plot large data sets?

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should this be community wiki? –  richiemorrisroe Feb 8 '12 at 10:35
    
It's not clear to me whether this ought to be CW. There may be no good answers; there may be one clear outstanding answer; we might generate a long list of effective answers. Let's see what happens. –  whuber Feb 8 '12 at 17:17
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This is a good question, biofreezer. I just wanted to remark that there are close analogies to other methods of work. My favorite is, pen & paper EDA is to modern stats as hand tools are to modern woodworking. ("Modern" woodworking employs many power tools like tablesaws and routers that enable even beginners to turn out acceptable results in much less time. However, these tools also account for thousands of missing digits and limbs every year. People who learn to use hand tools generally learn to work better and more efficiently even when they employ power tools.) –  whuber Feb 8 '12 at 17:21
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Yes, woodworking is a nice analogy (missing digits, missing digits). See also software-carpentry.org. –  denis Dec 13 '12 at 15:46

4 Answers 4

The closest thing is Cleveland's Visualizing Data. It's about Exploratory Data Analysis, it's about computer-generated visualizations, it's profound, it's a classic.

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The same also applies to the book The Elements of Graphing Data by the same author. Buy both of them; they are both excellent. –  Karl Ove Hufthammer Feb 2 at 8:19

Well, its not an exact replica, but I found tons of useful plotting advice (and R code) in Gelman and Hill's Data Analysis using Regression and Multilevel/Hierarchical Models

In addition, his blog is often full of useful graphics advice.

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Interactive Graphics for Data Analysis: Principles and Examples is one I like; the book description says it "discusses exploratory data analysis (EDA) and how interactive graphical methods can help gain insights as well as generate new questions and hypotheses from datasets."

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Hadley Wickham's ggplot2 book is interesting because it teaches both the Grammar of Graphics and how to use the ggplot2 software.

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