Visualizing Data by William S. Cleveland - Presentation Transcript
Visualizing Data by William S.
Cleveland
Behaviour Elucidation Par Excellence! U Didn't Know This B4
Visualizing Data is about visualization
tools that provide deep insight into the
structure of data. There are graphical
tools such as coplots, multiway dot plots,
and the equal count algorithm. There are
fitting tools such as loess and bisquare
that fit equations, nonparametric curves,
and nonparametric surfaces to data.
But the book is much more than just a
compendium of useful tools. It conveys a
strategy for data analysis that stresses
the use of visualization to thoroughly
study the structure of data and to check
the validity of statistical models fitted
to data. The result of the tools and the
strategy is a vast increase in what you can
learn from your data. The book demonstrates
this by reanalyzing many data sets from the
scientific literature, revealing missed
effects and inappropriate models fitted
to data.
Personal Review: Visualizing Data by William S. Cleveland
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.
For More 5 Star Customer Reviews and Lowest Price:
Visualizing Data by William S. Cleveland 5 Star Customer Reviews and Lowest Price!
Behaviour elucidation is done amazingly well. This more
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. less
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