Introduction to Information Visualization: Transforming Data into Meaningful Information is for anyone interested in the art and science of communicating data to others. It shows readers how to transform data into something meaningful - information.
Applying information visualization in research, service, teaching, and professional life requires a solid understanding of graphic design and the aesthetic along with hands-on skills and knowledge of data principles and software. This book is applicable to students in all domains, to researchers who need to understand how to create graphics that explain their data, and to professionals and administrators for professional development training. Website Designers and Human-Computer Interaction researchers will appreciate the backstory of designing interactive visualizations for the web.
Drawing on the author's years of practice and teaching, it bridges the two worlds in ways everyone can participate in the future of information and to appreciate the beautiful in information:
oStep-by-step directions in the fundamentals of HTML5, CSS, and d3.js
oDesign challenges with fully explained answers
oWeb-site support for code samples (JavaScript, d3.js, python), live examples, and a place to build a community of other IV pros
oUseful for teaching design to scientists; data to the humanities
oGuidance for using the text depending on the class makeup
oReview of third-party visualization software, big data trends, and script libraries
oGuidance on how to continue in the IV world after graduation
This full-color book features graphics and a companion Web site.
The online companion site hosts living examples, updates, and errata. You're invited to participate on the site, too, sharing your questions, solutions, and ideas. For most readings, there is a partner design lab. At the conclusion of the course, there is a complete interactive information visualization service documentation for libraries.
Rezensionen / Stimmen
Benoit's book is breath of fresh air, providing an equal platform between fine art and science, closing a gap not found in other information visualization textbooks. Benoit's expertise in the field brings out the aesthetic and artistic side of InfoViz without compromising the science side of data. The beauty lies in the real-life examples and on-hands, experiential approach to the field. -- Anastasia S. Varnalis-Weigle, Assistant Professor, Information and Library Science, University of Maine at Augusta Benoit successfully covers a range of intersecting topics in information visualization, from the technical to the aesthetic. He brings clarity to this complex space using a number of well-selected examples, and his interdisciplinary approach makes it accessible to a range of students and professionals.
-- James E. Andrews, Director, School of Information, University of South Florida This book is an original voice from an expert in information visualization. By building on easy-to-learn skills, it combines basics of web development with knowledge of information visualization and gives simple tips to improve visual aesthetics through the design. Practical tools introduced in the book allow a hands-on experience. I highly recommend this book as a DIY for any one interested in the field. -- Banafsheh Asadi, School of Information Studies, McGill University
Sprache
Verlagsort
Verlagsgruppe
Bloomsbury Publishing Plc
Zielgruppe
Für höhere Schule und Studium
US School Grade: From College Freshman to College Graduate Student
Illustrationen
34 BW Illustrations, 123 Color Photos, 24 Tables
Maße
Höhe: 234 mm
Breite: 154 mm
Dicke: 20 mm
Gewicht
ISBN-13
978-1-5381-1834-4 (9781538118344)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Gerald Benoit, Ph.D., teaches across a range of interrelated topics - information science, computer science, programming, web design, systems analysis, visual communication, and information visualization. He teaches data science courses for UC Berkeley's Data Science program. Before joining UC Berkeley, Prof. Benoit was a faculty member at Simmons College for fifteen years, teaching in the information science and computer science programs. There he taught at undergraduate, graduate, and doctoral levels.
Prof. Benoit's background includes training in graphic arts and production, at one time art director and partner in the advertising firm Imada, Wong, Park, + Benoit (continues as IW Group), and as an information scientist writing on human-computer interaction, information visualization and aesthetics, communications theory, and language models in search engine design.
Prof. Benoit has been an invited lecturer at Harvard University, the University of Rhode Island, Simmons College, and elsewhere to lecture on the opportunities of visualization in business, as a service, and professional education.
Preface
Acknowledgements
1.Introduction: why information visualization? Why skills + data + communication?
2.The Ethics/Aesthetics of Information
3.The Art of Information
4.The Tech of InfoVis
5.The Data of Visualization
6.Thinking through visualizations
7.Real World visualizations and text visuals
Appendix 1
Appendix 2
On the companion website, find ...
8.Deploying an InfoVis service [the Harvard Libraries project documentation]
9.Appendices:
Machine Learning and Visualization - a quick view of visualizations in Big Data
