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Data Insights: New Ways to Visualize and Make Sense of Data (Englisch) Taschenbuch – 27. Dezember 2012

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"Whitney has developed deep expertise in data visualization in particular and user interface design in general over many years of experience.Not only does Whitney write well, he's also designed a book that supports the principles of design that he advocates. The book is beautiful.This is a fine book that adds real value to the field of data visualization. I recommend it highly to anyone who wants to become a skilled and effective practitioner."--Visual Business Intelligence blog, February 11, 2014 "Hunter Whitney thoughtfully interprets 20 years of technical successes in information visualization for a broader audience. He tells the grand story of scientific breakthroughs in an engaging way for a wide audience, packed with thought-provoking quotes and eye-catching examples that powerfully present this profound advance in human capacity for insight."--Ben Shneiderman, University of Maryland

Über den Autor und weitere Mitwirkende

Hunter Whitney is a User Experience (UX) Designer who has helped create useful and usable interface designs for clients in areas ranging from bioscience and medicine to information technology and marine biology. In addition to his UX work, he has written numerous articles about a range of subjects, including data visualization, for various online and print publications. His aim is to encourage conversations among people with diverse skills and perspectives about presenting data in ways that are more widely accessible and engaging. He received dual bachelor's degrees-one in English Literature from UCLA and the other in Biology from UCSC-and has completed post-graduate neuropsychology research at UCLA. The combination of these multidisciplinary studies reflects his longstanding interest in the intersection between the humanities and the sciences (

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4 von 5 Kunden fanden die folgende Rezension hilfreich
This author completely gets it, and brings fun to the topic! 15. Dezember 2012
Von Veena - Veröffentlicht auf
Format: Taschenbuch
As someone who works with scientific and medical data on a regular basis, I found "Data Insights" to be such an interesting and enjoyable read. While being informative about basic and complex ideas, various elements are also explained with great humor and fun which makes the concepts easy to understand. The notion of collaboration is a theme that forms an essential thread throughout the book. We don't work with data in a vacuum; multiple individuals with different skill sets are involved in the process of 'interpreting data'.

An intriguing chapter is "A More Beautiful Question". The author writes, "You can look at data visualizations from many different perspectives. For one, they can be seen as a means to arrive at answers to complex problems. But visualizations can play an even more essential role in sparking important questions that would not have arisen otherwise. When people begin problem solving, they may start off with a baseline set of assumptions and premises that are vague or misleading. To respond effectively in those cases, they may have to accept the idea that their initial set of ideas could be wrong or that the most important question to ask is one they never considered. The willingness to change one's mind and the ability to respond with new sets of questions can be more useful than the skill of crafting queries that can prove to be irrelevant."

Hunter Whitney completely gets it. The notion that one doesn't always have to ask a question first is validated by the approaches my colleagues and I take in understanding data in a more holistic way. We often explore existing datasets to look for any patterns that may emerge. This process enables us to consider questions that we didn't originally pose, and has enriched our scientific discovery methods.

I highly recommend this book to those who have an interest in the topic and want to learn more as well as those with experience in the field of data visualization for they, too, would gain useful insights to help them in their day-to-day work.
3 von 4 Kunden fanden die folgende Rezension hilfreich
Good insights for someone on the people side of the technology business! 29. Juli 2013
Von Makoto - Veröffentlicht auf
Format: Taschenbuch
What I really appreciated about this book was its refreshing take on how people interact with data. I liked the author's advice to take the time to really think about how human perspectives and preconceived notions affect our approach to data, can skew our interpretations of it, and the ramifications of narrow or incomplete thinking. Being mindful is a running theme in the book; and the author pointed out how important it is to think about the bigger picture; communicate, collaborate and be as aware of the end goal as possible; which is to extract insights from data. It's a holistic approach to many moving parts and many different kinds of individual contributors. He writes that everyone interacting with data plays an important role in the process and how you relate with others in that process is an important consideration. He offered this with interesting real world examples, creativity, and surprisingly artistic viewpoints on what can be a dry topic at times.

I've held technical roles and have worked for high tech companies and lived in Silicon Valley for many years. I've been involved in software implementations gone awry, dealt with databases under utilized because the data was either outdated, or no one knew what to do with it. I interact with data on a daily basis and am among those working with it; so these truths hit home.

Finally; as someone who is not a programmer per se, I found this book meaty enough to teach me something, but approachable, witty and creative enough to capture and keep my attention. A very good read; and I think an excellent overview for anyone interested in how to see data with a new, more evolved and mature eye.
A pragmatic and thoughtful approach to data visualization 5. März 2014
Von Mike - Veröffentlicht auf
Format: Taschenbuch
So many times data visualizations are created without much thought to the user, the context or the actual message. Hunter addresses these factors in a book that is useful for the beginner as well as the seasoned presenter. He goes much beyond the oft referenced Tufte series to clearly explain the mechanics of visualization and the different personas of the viewer. Hunter also reviews interactive techniques and fills almost every page with screenshots, photos, and diagrams to illustrate his discussions. This book earns a spot as an effective and robust reference for using data to convey information in an honest and compelling fashion. It should be in the library of anyone who touches data.
0 von 1 Kunden fanden die folgende Rezension hilfreich
Unremarkable 7. Februar 2013
Von Dimitri Shvorob - Veröffentlicht auf
Format: Taschenbuch
Unanimous applause, but what is missing in the positive reviews is awareness of other options. Of course, if this is your first book on visualization, you are going to be impressed - but if you have seen books by, say, Tufte or Few, you perspective will be different. I have difficulty recalling any "new ways to visualize and make sense of data", and feel that the author's English-literature degree is visible in the (wordy) book more than his UI-designer experience. I would not recommend "Data insights", and point you to"Visualize this" by Nathan Yau.
3 von 6 Kunden fanden die folgende Rezension hilfreich
Chapter 3 is a must read before you create your next presentation 13. Januar 2013
Von Carla D - Veröffentlicht auf
Format: Taschenbuch Verifizierter Kauf
I am always fascinated and often appalled by the statistical information bandied about in the news. As someone who has enough education in mathematics to be dangerous I know how easy it is skew information. In many ways we are living in a data rich and information poor world right now.

Hunter's book tackles the issues facing those who are trying to provide meaningful visual information with all the data we have at our fingertips. I loved all of his real life examples of how to visually represent data. Chapter 3 should be required reading for anyone who does presentations as part of their job.

Hunter has done something that is next to impossible with this book, he has created a book for the end user of data; which is most of us and yet offers great insight for those who create data visualization as part of their job.

As we are entering the hyper zone of the "Big Data" craze in the enterprise this book is even more important to understand how to provide insight with Big Data and to understand what Big Data is about.
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