Free PDF Now You See It: Simple Visualization Techniques for Quantitative Analysis, by Stephen Few

Free PDF Now You See It: Simple Visualization Techniques for Quantitative Analysis, by Stephen Few

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Now You See It: Simple Visualization Techniques for Quantitative Analysis, by Stephen Few

Free PDF Now You See It: Simple Visualization Techniques for Quantitative Analysis, by Stephen Few

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About the Author

Stephen Few is the author of Now You See It: Simple Visualization Techniques for Quantitative Analysis (2009), Show Me the Numbers: Designing Tables and Graphs to Enlighten, Second Edition (2012), Information Dashboard Design: Displaying Data for At-a-Glance Monitoring, Second Edition (2013), and Signal: Understanding What Matters in a World of Noise (2015). Stephen is recognized as a world leader in the field of data visualization and he has worked for 30 years as an information technology innovator, educator, and consultant. As the principal of the consultancy Perceptual Edge, he focuses on practical uses of data visualization to explore, analyze, and present quantitative information.

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Product details

Hardcover: 329 pages

Publisher: Analytics Press; 1st edition (April 1, 2009)

Language: English

ISBN-10: 0970601980

ISBN-13: 978-0970601988

Product Dimensions:

8.5 x 1.3 x 11 inches

Shipping Weight: 3.5 pounds (View shipping rates and policies)

Average Customer Review:

4.3 out of 5 stars

55 customer reviews

Amazon Best Sellers Rank:

#45,890 in Books (See Top 100 in Books)

Stephen Few introduces the visual analysis of data. He shows readers how to discover patterns in large data sets through clever arrangement, highlighting and filtering of data points. I encountered the book as the text in a four-week online class on visual data analysis. But it also works well as a standalone introduction to this area.The first half of the book has a different focus than I expected. Few suggests that "...we've largely ignored the primary tool that makes information meaningful and useful: the human brain. While concentrating on the technologies, we've forgotten the human skills that are required to make sense of the data." He describes the human visual system, how it processes information, and the errors in perception it sometimes makes. His emphasis, however, is on the strengths of visual perception which he links to best practices in data analysis. One of the most useful parts of this section is in Chapter 2, where he lists and describes the "aptitudes and attitudes of effective analysts."The book's second half describes and illustrates specific visual analysis techniques. It is rich with visual examples, comparisons of effective and ineffective displays, and series of related visualizations which show incremental steps of data transformation and analysis. Chapters are organized by specific data patterns and analytical techniques, describing how to look for the following six kinds of patterns:- Time-series- Ranking and part-to-whole relationships- Deviations- Distributions- Correlations- Patterns in multivariate dataTwo final chapters present recommendations for developers of data analysis software and make predictions about future trends in visual data analysis.The book is recommended for any researcher who works with large data sets. It is well-written, contains clear examples, and references recent research and the latest tools available for data analysis. Readers may also be interested in Few's Show Me the Numbers: Designing Tables and Graphs to Enlighten which discusses how to best describe patterns in data to nonresearchers.

I've worked with graphs and charts for a long time, and it has always been my experience that certain things work "better" in some kinds of presentations than others, but I have never been able to articulate why. The author does a great job of walking through what is happening in our heads when presented with visualized data, and how to take advantage of those thought processes to make presentations more effective. The best kind of teaching is when you keep having "Aha!" moments while confronting things that you're already a little bit aware of. This book abounds with them, and Mr. Few does a creditable job of making it all very digestible.If you're new to creating charts, have a deviant's level of interest in data geekery, or need this book for a class, get it. And get it in print. The Kindle version doesn't have the same impact.

This is the first book purchased for use in my PhD program, and at work, that I have felt others should read. I mention my current academic undertaking only because the academic world suffers as badly as the business world when it comes to actually communicating quantitative information. The author starts by stating that we have an information problem; that we have too much to digest effectively without changing our methods. I disagree. What we have is mounds and mounds of unorganized data that too few people have taken the effort to turn into useful information.The author's (achieved) goal was to provide a number of methods by which that data can be used more effectively. But he does more than provide a catalog of methods. He shows how some of them are better in one situation, and that other methods are better in other situations or when the presenter's goals are different. By doing so, he has also given us a very nice set of tools for determining if the next graph or chart is failing to provide all it can or if the presenter is misleading his audience. Mr. Few provides figures on nearly every page of the book and does an outstanding job of explaining them.This book will be referred to often in my career.

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Now You See It: Simple Visualization Techniques for Quantitative Analysis, by Stephen Few PDF

Now You See It: Simple Visualization Techniques for Quantitative Analysis, by Stephen Few PDF