Hunter Whitney

Data Insights

New Ways to Visualize and Make Sense of Data

• Broschiertes Buch

Produktbeschreibung

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.

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Produktdetails

• Verlag: Morgan Kaufmann
• Artikelnr. des Verlages: C2010-0-69453-3
• Seitenzahl: 320
• Erscheinungstermin: 13. November 2012
• Englisch
• Abmessung: 233mm x 189mm x 20mm
• Gewicht: 794g
• ISBN-13: 9780123877932
• ISBN-10: 0123877938
• Artikelnr.: 36161791

Autorenporträt

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.

Inhaltsangabe

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

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Introduction to the 2nd Edition: From Petabytes to Insights (What’s changed in years after the first edition?)
Retrospective discussions with thought leaders about changes they’ve seen in the field and what they might signify
Topics reviewed -o Democratizing of data -The mainstreaming and commodification of data o New Jobs and roles in working with datao The evolving relationship of AI and data visualizationo Changes in "data wrangling"o Evolving data visualization toolso Data Literacy and Data Communication Human-Centered Design for Data Visualization
Views you can use o Exploring how data technologies affect your own life and work
Examples - recommender systems, work monitoring, social media ecosystems and echo chambers
Algorithmic job boardso Human-Centered Design Descriptions Connecting the visualization to the audience)
Techniques for communicating datä Debiasing your data and your visualizations
Neurodiversity and inclusion considerations for working with data and visualizationso Trade-offs between simplicity versus complexityo Color and language selectiono Using different approaches to show the information in different ways for a more complete pictureo Multimodal interfaces with case studies Measuring What Counts
Turning abstract numbers into actionable insights
Using Quantitative and Qualitative measures
What data do you need? Considerations for data collection
Data Blind spots - It’s the gaps in data that may be more important than what you have. Am I missing critical data?
Design and Data - Considerations for what metrics go on your dashboard and reports
UX Outcomeso Measuring impact and scaleo Metrics of successo Problem-Value Metricso Progress Metrics Goals of Data Visualization -1.) Exploratory Data Visualization
"A More Beautiful Question" (Interrogating the data without coercion)o Describing the key differences between exploratory and explanatory visualizations and the spectrum in betweeno Case study updates and new ones of exploratory data analysis using interactive visualizationso Links to papers 2.) Explanatory Data Visualization
Data Storytelling - presenting an accurate and compelling narrative of the datao The strengths, weaknesses, and caveats of data storytellingo Selected data storytelling techniqueso Case study updates and new oneo Links to papers showing data visualization that help provide overall clarity and context to data-intensive projects…even for people who are not experts in the field 3.) Extrapolatory Data Visualization
Using data analysis to help make predictions and scenario testo Making well-informed projectionso Looking at potential outcome with different parameterso Visually showing uncertainty Potential and Perils
Data and Ethics
Data Governance
Privacy versus convenience
How will humans collaborate with data tech?Where does it go from here?

Rezensionen

"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