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The Grammar of Graphics (Statistics and Computing) ペーパーバック – 2011/9/17


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Preface to First Edition Before writing the graphics for SYSTAT in the 1980’s, I began by teaching a seminar in statistical graphics and collecting as many different quantitative graphics as I could find. I was determined to produce a package that could draw every statistical graphic I had ever seen. The structure of the program was a collection of procedures named after the basic graph types they p- duced. The graphics code was roughly one and a half megabytes in size. In the early 1990’s, I redesigned the SYSTAT graphics package using - ject-based technology. I intended to produce a more comprehensive and - namic package. I accomplished this by embedding graphical elements in a tree structure. Rendering graphics was done by walking the tree and editing worked by adding and deleting nodes. The code size fell to under a megabyte. In the late 1990’s, I collaborated with Dan Rope at the Bureau of Labor Statistics and Dan Carr at George Mason University to produce a graphics p- duction library called GPL, this time in Java. Our goal was to develop graphics components. This book was nourished by that project. So far, the GPL code size is under half a megabyte.

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From the reviews of the second edition:

"This fascinating book deconstructs the process of producing graphics and in doing so raises many fascinating questions on the nature and representation of information...This second edition is almost twice the size of the original, with six new chapters and substantial revisions." Short Book Reviews of the International Statistical Institute, December 2005

"When the first edidtion of this book appeared in 2000 it was much praised. I called it a tour de force of the highest order. (Wainer, 2001), Edward Wegman (2000) argued that it was destined to become a classic. Now, six years later this very fine book has been much improved." Howard Wainer for Psychometrika

"...The second edition is an impressive expansion beyond a quite remarkable first edition. The text remains dense and even more encyclopedic, but it is a pleasure to read, whether a novice or an expert in graphics...this book is a bargain...The second edition is a must-have volume for anyone interested in graphics." Thomas E. Bradstreet for the Journal of the American Statistical Association, December 2006

"I find myself still thinking about the book and its ideas, several weeks after I finished reading it. I love that kind of book." Mark Bailey for Techometrics, Vol. 49, No. 1, February 2007

"Warts and all, The Grammar of Graphics is a richly rewarding work, an outstanding achievement by one of the leaders of statistical graphics. Seek it out." Nicholas J. Cox for the Journal of Statistical Software, January 2007

"The second edition is a quite fascinating book as well, and it comes with many color graphics. Anyone working in this field can see how many hours the author (plus coworkers) has spent on such a volume. … Demands for good graphics are high and this book will help to wetten the appetite to create future computer packages that willmeet this demand. An occasional reader will get insights into a modern world of computing … ." (Wolfgang Polasek, Statistical Papers, Vol. 48, 2007)

登録情報

  • 出版社 ‏ : ‎ Springer; 2nd ed. 2005版 (2011/9/17)
  • 発売日 ‏ : ‎ 2011/9/17
  • 言語 ‏ : ‎ 英語
  • ペーパーバック ‏ : ‎ 709ページ
  • ISBN-10 ‏ : ‎ 1441920331
  • ISBN-13 ‏ : ‎ 978-1441920331
  • 寸法 ‏ : ‎ 15.24 x 3.81 x 22.86 cm

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Leland Wilkinson
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  • Raphael D. Mazor
    5つ星のうち5.0 This book changes the way you think about statistical graphics
    2011年8月27日にアメリカ合衆国でレビュー済み
    Amazonで購入
    I boought this book because I am getting increasingly interested in data visualization. I've played around with ggplot2, and went to Edward Tufte's seminars, and eventually found my way to this book.

    As the other reviewers mention, this is NOT a how-to book. It's a much deeper, fundamnetal treatment of how data and graphics connect, and how we represent them. So, it's not as much a "useful" book, except insofar as it changes the way you put together your next graph.

    This book crystalized a lot of concepts I already understood, though only vaguely and intuitively. Like, a legend and an an axis are really the same thing, and that a stacked bar and a pie chart are identical except for the coordinate system used.

    It's quite a dense slog to read this book, so I recommend you pick it up and read a few pages here and there, and follow through on the issues that catch your interest.

    It's not for everyone, but I suspect it could make anyone communicate better through graphs.
  • Mark A. Weiss
    5つ星のうち4.0 skip details (esp. formalisms); instead get hilighter ready for principles, perspectives
    2012年1月4日にアメリカ合衆国でレビュー済み
    Amazonで購入
    Most of what other reviewers say has factual accuracy. But first I must say that the "subset" of people who enjoy CLEVELAND (WILLIAM S.)'s works will enjoy the Grammar of Graphics book.

    Sorry, but people who enjoy TUFTE are not potential candidates for this book because Tufte has way too little to say about graphics (despite his books, lectures, which ultimately are about $$$ for Tufte). Tufte's main thing is his admonition "don't do chart junk" followed by his second favorite thing: join with him and disparage the "cognitive style" of PowerPoint. The former is true, but is not terribly subtle. As for the second, the tool of PowerPoint need not be used in the boring "cognitive style" with bullets and "branding". I for one have made plenty of PowerPoint presentations totally unlike these.

    The summary of "subset"s of folks: William S. Cleveland followers: yes, you'll love this book; those who mistake Tufte for the ultimate graphical guru probably will find this book "too much". Note that the author of the Grammar of Graphics book literally says how Cleveland wins the citations contest in his book. No surprise, because Cleveland has made many creative developments for statistical graphics and has also studied graphical perception. (As just ONE of a myriad of examples: residuals are very badly "mis-read" by our perception when there is a steeply sloped curve; residual in y- direction may be very large, but we see only a very much shorter perpendicular distance.)

    (Finally, in fairness, Tufte has had two good ideas -- but only two compared to Cleveland's several dozen. Tufte's tics-at-data (for x- and y- separate marginal distributions [essentially 1-D scatterplots made by tics]) and Tufte's white-grid-run-thru-of-bar-plots are his two contributions of any substance.)

    OK. Thanks for bearing with my review which, thus far, has covered the Cleveland and Tufte subsets of readers. Time for the Grammar of Graphics book character itself --without context of being a Cleveland reader or a Tufte Reader.

    If you have not experienced reading Cleveland's books (Elements of Graphing Data and/or Visualizing Data), I admit that this book will be more difficult for you.

    The above point aside, you should know, like other reviewers said, that this book is not a how-to. Nor is it like Cleveland's books -- chock full of guideline principles. There are plenty of principles in the book, but with its size, the CONCENTRATION of principles to pages of text is low.

    THE BEST PERSPECTIVE ON THIS BOOK: The best perspective is to not sweat consuming every little detail. Especially skip all the formalisms (even though this is ostensibly the topic of the book!) Instead, just enjoy. This is one book definitely to apply your highlighter to. Forget the formalisms completely. Concentrate on the important points made throughout -- but you'll need to highlight them. If you come to the book from Cleveland (William S.) it will be easier for you to spot the important points. Just don't think you have to learn details and formalisms.

    One tip -- Cleveland reader or not -- whenever there is any text suggesting a perspective, that text may well be calling for your highlighter -- not always, but often.

    Go for principles, perspectives and ignore formalisms. You'll be more at ease and enjoy the book.

    If you think you might do both William S. Cleveland's books AND the Grammar of Graphics book -- no question, do Cleveland first (Elements of Graphing Data [more basic] and Visualizing Data [more advanced statistical questions addressed graphically]).

    P.S. I don't recall if other reviewers mentioned it, but Wilkinson (author of Grammar of Graphics) is creator of the SYSTAT statistical software package.
  • sherbert
    5つ星のうち4.0 Standard textbook, excellent ...
    2014年12月16日にアメリカ合衆国でレビュー済み
    Amazonで購入
    This is a standard text. Excellent