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Now You See It: Simple Visualization Techniques for Quantitative Analysis (Englisch) Gebundene Ausgabe – 1. April 2009

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Produktinformation

  • Gebundene Ausgabe: 327 Seiten
  • Verlag: Analytics Pr; Auflage: 1st (1. April 2009)
  • Sprache: Englisch
  • ISBN-10: 0970601980
  • ISBN-13: 978-0970601988
  • Größe und/oder Gewicht: 21,6 x 3,3 x 27,9 cm
  • Durchschnittliche Kundenbewertung: 4.0 von 5 Sternen  Alle Rezensionen anzeigen (2 Kundenrezensionen)
  • Amazon Bestseller-Rang: Nr. 69.417 in Fremdsprachige Bücher (Siehe Top 100 in Fremdsprachige Bücher)

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Über den Autor und weitere Mitwirkende

Stephen Few is the author of Information Dashboard Design: The Effective Visual Communication of Data, Show Me the Numbers: Designing Tables and Graphs to Enlighten, and the monthly Visual Business Intelligence newsletter. He has worked for more than 25 years as an information technology innovator, teacher, and consultant. As the principal of the consultancy Perceptual Edge, he focuses on practical uses of data visualization to explore, analyze, and present quantitative business information. He lives in Berkeley, California.


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7 von 7 Kunden fanden die folgende Rezension hilfreich Von Stefan Steinbauer am 23. Juli 2009
Format: Gebundene Ausgabe Verifizierter Kauf
Das Buch zeigt wie eine geschickte Visualisierung von Daten gut umgesetzt werden kann. Reich bebildert und mit dem gewohnten gut zu lesenden Stil von Stephen Few gewürzt ist dieses Buch eine wahre Fundgrube und Zusammenfassung von Visualisierungen: Auch im Büroalltag sind diese Methoden schnell und einfach umzusetzen, da Sie sich keiner Spezialwerkzeuge bedienen, sondern alles mit Tabellenkalkulationen und den darin enthaltenen Visualisierungstools realisiert werden kann. Besonders gefreut habe ich mich einen alten bekannten wiederzusehen: den Stem-and-Leaf Plot.
Stephen Few bietet hier eine geführte Reise durch die Visualisierung beginnend von der Funktionsweise des Sehens bis zu Analyse von sehr komplexen Daten. Fasziniert bin ich bis jetzt durch die gelungene Grätsche von der "guided tour" zum Nachschlagewerk.
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2 von 2 Kunden fanden die folgende Rezension hilfreich Von Herbert Stauffer-Moser am 8. Januar 2010
Format: Gebundene Ausgabe Verifizierter Kauf
Gute anschauliche Beispiele, toll aufgemacht. Teilweise hat man jedoch das Gefühl, das es sich um Wiederholungen handelt. Bei einigen Beispielen ist der Produktenamen des immer gleichen Herstellers angegeben, bei anderen nichts. Man fragt sich, ob es sich da um Werbespots handelt.
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144 von 149 Kunden fanden die folgende Rezension hilfreich
Visualization Tools For Business Analytics 20. Juni 2009
Von Rich Johnson - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe Verifizierter Kauf
"Now You See It" is the latest book by author Stephen Few. The description says this book is a companion to "Show Me The Numbers," which is a favorite book of mine. "Show Me The Numbers" is about building charts and tables that will help you show others what you see in your data. "Now You See It" is about helping you to find new ways to display your data for your own analysis. Before you can show others your data you need to understand it yourself, and that's where this book fits in.

Creating charts is front and center as the focus of this book. "Show Me The Numbers" focused on charts and tables that could be built with simple tools such as Excel. Now You See It shows you the types of analysis you can do when you employee more advanced software such as Tableau and R. Some of the illustrations are really cool to look at and inspirational, even if I will never have the tools or time to prepare my own version of them.

"Now You See It" is broken up into 3 sections:

In Part 1 - Building Core Skills for Visual Analysis. Stephen Few covers the history of information visualization, the basics of analysis, and how we perceive data. There is some overlap with "Show Me The Numbers," but it's only one chapter, and not a deal breaker for me. I found the history of information visualization chapter interesting, and I imagine that in 50-100 years there are going to be new kinds of visualization methods available that we haven't even thought of yet.

In chapter 4, Analytical Interaction and Navigation, the author covers the role of good software in the data analysis process. He lists a few requirements that good software should have, and in many cases popular software such as Excel fall short. This is when you realize that learning another program like R could be useful. I almost feel like this chapter was written for software developers who are trying to create their own data analysis software, so if you're in that camp this is your book.

Part 2 - Honing Skills for Diverse Types of Visual Analysis, goes in depth with various types of charts that you can use to analyze your data. There is a chapter for each of the major types of visual analysis: Time Series, Ranking and Part-to-Whole, Deviation, Distribution, Correlation, and Multivariate.

Within each chapter Stephen Few shows you which types of patterns you should look for in your data and shows you what those patterns mean. He then shows you different ways of displaying the data, which can range from simple Excel charts to complex visualizations which could belong in a magazine. Finally he finishes each chapter with a list of best practices for analyzing the data, such as scaling chart intervals properly or using logarithmic scales to compare the percent change of data with different starting points (look at almost any stock market graph to see a logarithmic chart in action).

These chapters form nearly 50% of the book, and could be very useful reading to a student getting started with statistics, or anyone else who is not completely comfortable with numbers.

Part 3 - Further Thoughts and Hopes. The first chapter of the book opens with the history of information visualization, and the final chapters conclude with the author's thoughts on the future. As computing power gets stronger and the internet becomes more ubiquitous new innovations are in the works, and some of them are covered here.

Recommendation

I finished reading this book about a week ago, and at first I didn't think much of it. I already have a strong analytical background and didn't feel like I got much out of this book in terms of learning anything new. But after a few days I noticed that I starting thinking about problems differently - I started thinking about how I could present them in a visual manner, and I started sharing my simple charts with others.

I am finding that being able to throw together a chart quickly and effectively is extremely helpful for me and a great way to share results with coworkers. Despite having seen almost everything in this book before, reading it has got me thinking about using charts more to analyze data. It is also the kick I needed to start learning to do charts in SAS so I can expand my visualizations beyond what Excel can do.

The benefits of this book may not be immediately apparent like "Show Me The Numbers,", but if you give it some time to sink in I think you will start thinking of new ways to visualize your data. The charts shown by Few in this book are, for the most part, accessible to those of us in business, versus Edward Tufte who emphasizes charts created with design tools such as Adobe Illustrator. There are some examples shown in Tableau and Spotfire, which are both quite expensive. But there are also illustrations created in R, which is free. Of course if you are going to use those programs you have to learn to use them, but that will only increase your job appeal that much more.

If you work as a business analyst and are looking for practical ways to expand your knowledge and abilities, I highly recommend this book.
19 von 21 Kunden fanden die folgende Rezension hilfreich
The one visualization book to have in the office 13. November 2009
Von Georgette Asherman - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe Verifizierter Kauf
Stephen Few has put together a book that is useful as a reference but readable as well. I heard him speak at a conference and really think he has hit the mark. The book is accessible without being shallow. He gives worthwhile examples of how to combine the features of the software with good graphing techniques. As someone who has worked with many of the techniques, he provides a reason for what I did intuitively. This is invaluable for both displaying findings and training subject experts to analyze their data.
27 von 32 Kunden fanden die folgende Rezension hilfreich
Great introduction to Visual Analysis 15. Juli 2009
Von Jock D Mackinlay - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe
As someone who's done over two decades of research and development on visualization technology, I highly recommend "Now You See It" for everybody - novice to expert. Stephen Few explains visual analysis clearly and conversationally. His examples are accessible, appropriate, and beautiful.

The book is well-structured. Part I focuses on core concepts, principles, and practices. It prepares the general reader for Part II, which focuses on more technical material involving specific types of analysis (time-series, deviation, correlation, etc). Part II contains practical advice that will help everyone become better at visual analysis.

I particularly like the recommendations Stephen Few has included for visual analysis techniques that should be supported by commercial systems that are helping us work with data. After all, computers are now automatically collecting data. This book teaches us how to use this data to inform our individual work and to enhance our communication with each other. I believe these are key skills that will help us improve our modern, complex world.
16 von 20 Kunden fanden die folgende Rezension hilfreich
Clear and calm guide to info visualization 23. Juni 2009
Von Ben Shneiderman - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe
Clarity and calm are great virtues in making difficult problems seem easy. Stephen Few offers an abundance of these virtues in his book, Now You See It: Simple Visualization Techniques for Quantitative Analysis. He methodically guides readers from example to example in an orderly journey made even more tranquil by his gentle personal style of writing. The "I", "you", and "we" phrasing make for easy reading, even as the information visualization concepts get progressively more complex and potent.

The example data sets are easy to understand and the lessons of good design seem to pop up from the surface of the pages. Color is used cautiously and appropriately, with no wasteful distractions. The clean designs show respect for Tufte's data-to-ink ratio.

As early as 1965, statistician John Tukey recognized that one of the great payoffs of interactive computing was the potential for exploratory data analysis. Stephen Few reiterates Tukey's vision and then fulfills it by showing that good graphical representations "pave the way to analytical insight." Few has a potent advantage in that modern software tools enable him to show off the good and bad approaches for each concept. Successful commercial tools like Spotfire and Tableau are put to work repeatedly, while university research projects show up where appropriate. Over all, Few lays out the territory and gives us a grand tour.

Few closes with this declaration: "I love information, in part for the understanding that it offers...Mostly, though, I love it for what I can do with it to leave the world a little better off than I found it." Few proudly presents this noble aspiration to his readers in a compelling way; now it's up to us to realize this goal through the emerging discipline of information visualization.
4 von 4 Kunden fanden die folgende Rezension hilfreich
Awesome book 15. Februar 2012
Von JR - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe Verifizierter Kauf
"Now You See It" is like a modern version of Edward Tufte's books because it focuses on interactive visualization rather than on creating static charts. It looks like a textbook but reads like a novel. I actually look forward to taking a lunch break and reading it. It presents the key principles of data visualization with easy-to-understand examples and great visuals. I have a number of years of experience in biomedical research and am currently doing data analysis on the administrative side of academia. But I have little formal training in stats. I mainly purchased the book to help with selecting and learning how to use one of the many data visualization tools on the market. "Now You See It" helped me understand both what features are important in selecting a tool, and how I should use it once we purchase one. I feel I have a much better understanding of how to make good visualizations after reading this book, and am really excited about the possibilities.
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