Introduction To Information Visualization: Transforming Data Into Meaningful Information

Description

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: - Step-by-step directions in the fundamentals of HTML5, CSS, and d3.js - Design challenges with fully explained answers - Web-site support for code samples (JavaScript, d3.js, python), live examples, and a place to build a community of other IV pros - Useful for teaching design to scientists; data to the humanities - Guidance for using the text depending on the class makeup - Review of third-party visualization software, big data trends, and script libraries - Guidance on how to continue in the IV world after graduation This full-color book features graphics and a companion Web site. Contents......Page 8 Preface......Page 10 Acknowledgments......Page 14 Chapter 1 Introduction......Page 16 Chapter 2 The Ethics/Aesthetics of Information......Page 28 Chapter 3 The Art of Information Visualization......Page 46 Chapter 4 The Technology of Information Visualization......Page 70 Chapter 5 The Thought behind Creating a Visualization......Page 104 Chapter 6 The Data of Visualization......Page 140 Chapter 7 Real-World Visualizations and Text Visualizations......Page 172 Appendix A Data and Information Ecosystems......Page 188 Appendix B More about Data, Learning, and Visualization......Page 200 Index......Page 216 About the Author......Page 220