Data Insights: New Ways to Visualize and Make Sense of Data

ISBN-13: 9780123877932 / Angielski / Miękka / 2012 / 310 str.

Hunter Whitney

Opis

Data Insights: New Ways to Visualize and Make Sense of Data offers thought-provoking insights into how visualization can foster a clearer and more comprehensive understanding of data. The book offers perspectives from people with different backgrounds, including data scientists, statisticians, painters, and writers. It argues that all data is useless, or misleading, if we do not know what it means.
Organized into seven chapters, the book explores some of the ways that data visualization and other emerging approaches can make data meaningful and therefore useful. It also discusses some fundamental ideas and basic questions in the data lifecycle; the process of interactions between people, data, and displays that lead to better questions and more useful answers; and the fundamentals, origins, and purposes of the basic building blocks that are used in data visualization. The reader is introduced to tried and true approaches to understanding users in the context of user interface design, how communications can get distorted, and how data visualization is related to thinking machines. Finally, the book looks at the future of data visualization by assessing its strengths and weaknesses. Case studies from business analytics, healthcare, network monitoring, security, and games, among others, as well as illustrations, thought-provoking quotes, and real-world examples are included.
This book will prove useful to computer professionals, technical marketing professionals, content strategists, Web and product designers, and researchers.

• 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

Recenzje

"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

Spis treści

1. From Terabytes to Insights2. A More Beautiful Question3. Winning Combinations: Working with the Ingredients of Data Visualization4. Pathways, Purposes, and Points of View5. Views You Can Use6. Thinking.Machines Chapter 7 Hindsight, Foresight, and Insight

O autorze

Hunter Whitney is a human-centered design (HCD) strategist, instructor, and author who brings a distinct UX design perspective to data visualization and analytics. He currently works at eSimplicity as a Principal HCD Strategist. He has advised corporations, start-ups, government agencies, and NGOs to help them achieve their goals through a thoughtful, strategic design approach to digital products and services.?
He contributed a chapter in the book, "Designing for Emerging Technologies: UX for Genomics, Robotics, and the Internet of Things”. His teaching experience includes being a classroom instructor for the courses - "Design Thinking and UX Strategy" and "Human-Centered Design for Data Visualization" for UC Berkeley Extension. He is also an instructor and curriculum advisor for data visualization and UX design programs with UC Davis on Coursera.