- Gebundene Ausgabe: 360 Seiten
- Verlag: Hobart Pr (März 1993)
- Sprache: Englisch
- ISBN-10: 0963488406
- ISBN-13: 978-0963488404
- Größe und/oder Gewicht: 24,9 x 18,8 x 3 cm
- Amazon Bestseller-Rang: Nr. 271.409 in Englische Bücher (Siehe Top 100 in Englische Bücher)
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62 von 65 Kunden fanden die folgende Rezension hilfreich
A Valuable Tool
25. Mai 2000
Format:Gebundene Ausgabe
This book was recommended highly to me by a former university professor (and now consultant). It exceeds my expectations. The figures and acompanying explanations are very clear, as is the language throughout. Visualizing Data discusses several tools with which I was not familiar, and clarifies tools that I thought I understood (including box plots). I have taken several university statistics classes, but I believe this book would help anyone involved in displaying or interpreting data. A picture may be worth a thousand words, but when your business depends on it, a well-defined plot or graph can be worth much more. Visualizing Data enables you to produce well-defined plots and graphs with confidence.
34 von 34 Kunden fanden die folgende Rezension hilfreich
Wonderful for its intended audience
16. September 2007
Format:Gebundene Ausgabe
First and foremost, this book has a definite audience: people who need to produce graphs for somewhat sophisticated audiences. This is not a book about producing graphs for mass marketing or other flashy arenas. While this point is implicit throughout the book, it is not often stated explicitly.
The biggest strength of this book, and what makes it worth the purchase, is Cleveland's discussion about the relationship between graphing and visual processing. We've all seen a thousand pie charts, for example, but it turns out that people are not good at visually processing pie charts. The way we process visually has implications for everything from line graph construction to color choices to deciding how to code data on XY scatter plots. Although this information does exist in other places, Cleveland brings it together concisely here. Some of the discussion can get a bit technical, however, so be warned.
This is a great first book to read to learn more about how to construct graphs, and it has enough references to point you to other sources if you feel you need more. I myself have purchased several other books about the visual representation of data (including Cleveland's other book "The Elements of Graphing Data"), but this is where I started, and the information in this book has enriched my understanding of those other books immeasurably.
The biggest strength of this book, and what makes it worth the purchase, is Cleveland's discussion about the relationship between graphing and visual processing. We've all seen a thousand pie charts, for example, but it turns out that people are not good at visually processing pie charts. The way we process visually has implications for everything from line graph construction to color choices to deciding how to code data on XY scatter plots. Although this information does exist in other places, Cleveland brings it together concisely here. Some of the discussion can get a bit technical, however, so be warned.
This is a great first book to read to learn more about how to construct graphs, and it has enough references to point you to other sources if you feel you need more. I myself have purchased several other books about the visual representation of data (including Cleveland's other book "The Elements of Graphing Data"), but this is where I started, and the information in this book has enriched my understanding of those other books immeasurably.
21 von 55 Kunden fanden die folgende Rezension hilfreich
Behaviour Elucidation par Excellence! U didn't know this B4
27. Januar 2005
Format:Gebundene Ausgabe
Behaviour elucidation is done amazingly well. This book is even more powerful than Cleveland's "Elements of Graphing Data". Key words for what you achieve: incisive, powerful, salient behaviour eludidation. The principles of graphical perception from "Elements" are great (and themselves powerful) but this book invents and emphasizes yet more incisive visualizations. These new visualizations involve considerable computation IN SUPPORT OF CONSTRUCTING the graphs. But the GRAPHS -- and the behaviours they make manifest/salient -- are the point. As in "Elements", Cleveland is not just about the techniques as if they were rote procedure; he helps you build perspective too. This book, in a very real sense, (even explicitly so stated by Cleveland himself) is an alternative paradigm to the pervasive statistical inference paradigm. No wonder, then, that another reviewer (a Statistics student) learned so much he had never even seen before. Boy was "Visualizing" useful for a project I had on univariate data in multiple categorical groups (folding durability; 6 groups of data); Chapter 2 of "Visualizing" TRULY had me seeing things I NEVER would've otherwise. The book also guides you in the computations you need to get to the visualizations.
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