数据新视角Data Insights

内容概要

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 is the author of the book "Data Insights: New Ways to Visualize and Make Sense of Data" (Morgan Kaufmann Publishers, November 2012). 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.

作者简介

"Data Insights" offers multi-disciplinary perspectives and useful information about how visualizations can open your eyes to data. This thought-provoking book takes a conversational approach to presenting an overview of the subject, while also focusing on key details. It highlights the ideas and work of a variety of people who are actively contributing to this still emerging field. Case studies from business analytics, healthcare, games, security, and network monitoring, among others, portray what is going on in data visualization today. A diverse blend of original illustrations and real-world examples, both classical and cutting-edge, help fill in the picture. This book provides an approachable overview of important aspects of data visualization, and. Demonstrates, with a variety of case studies, how visualizations can foster a clearer and more comprehensive understanding of data. Answers the question, "How can data visualization help me?" with discussions of how it fits into a wide array of purposes and situations. Makes the case that data visualization is not just about technology; it also involves a deeply human process.

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