Data Insights
New Ways to Visualize and Make Sense of Data
- 1st Edition - November 13, 2012
- Latest edition
- Author: Hunter Whitney
- Language: English
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 unders… Read more
- 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
- Dedication
- Preface
- Sandboxes and Museum Cases
- Acknowledgments
- About the Author
- Chapter 1. From Terabytes to Insights
- Introduction: A Grander View
- Things That Make Us Smarter: How Thoughtful Visualizations can make our Lives Better
- Don’t Be Afraid of the Chart
- PEER AT the World of Data
- From Data to Wisdom
- A Day with Data
- The Torrents and Trickles of Data: Observations from Statistician John Bosley
- Cascades of Confusion
- The Data Lifecycle
- “Just the Facts”: What are Data and Metadata?
- What to Leave in and What to Leave Out: A Conversation with Journalism Professor and Tech Entrepreneur, Len Sellers
- What Counts?
- The Ripple Effect
- Attributes of Data Visualization
- Diving into the Well of Machine Data with Splunk Cio Doug Harr
- Deep Simplicity (Complex Data in Simple Forms)
- What’s New?!
- Chapter 2. A More Beautiful Question
- The Art of Inquiry
- Good Question
- Washington, D.C.’s 1100 Points of Light
- Twenty Questions
- Patterns, Contexts, and Questions
- Designing Software for When You Don’t Know What You Don’t Know
- The Questions within a Question
- Knowing What You’ve Got
- Questions and Metadata
- Quick Questions
- Finding “Personal Bests” (Based on Work by Information Scientist, Dan Gillman)
- Lowering the “Curiosity Tax” for Businesses
- Asking Good Questions
- Approaching Data with a Beginner’s Mind
- TMD (Too Much Data)?
- A More Beautiful Question
- Chapter 3. Winning Combinations: Working with the Ingredients of Data Visualization
- Just the Right Mix
- Counter intelligence: Figuring Out what to do with Many Ingredients
- Setting the Table
- Part One: Selecting, Storing, and Combining the Ingredients of Data
- Part Two: Fitting Data Types with Visual Forms
- Color!
- Part Three: Putting Together Different Kinds of Visualizations
- A Winning Collaboration on a Small Scale
- Conclusion
- Chapter 4. Pathways, Purposes, and Points of View
- Along These Lines . . .
- Following Strands of Data
- On the Road Again
- Tangible and Intangible Pathways
- Pathway and Process
- Finding Rare Birds in Dense Jungles: A Packing List
- Time Travel, Tracks, and Wakes: Visualizing Flux and Data
- Data and the Narrative Path
- Crossing Points and Graph Visualizations
- Bridges, Networks, and Roles
- Dots with Advanced Degrees
- More than Dots on a Map (Perspectives from Ushahidi’s Patrick Meier)
- More than Just Data Points
- Points to Remember
- Chapter 5. Views You Can Use
- Getting Through
- Perceiving the Gray Areas
- It All Depends on Your Perspective
- Data Models versus User Models
- Enabling versus Imposing Mental Models
- User Experience Design and Making Sense of Data
- Can you spare some change?
- Learned Interfaces versus Intuitive Interfaces
- T2—Technology × Training
- Left to Your Own Devices
- Baseballs, Bassoons, and Virtuosity
- Sound Advice from HCI and Shneiderman’s “Golden Rules”
- Usability and Data Visualization
- Looking at User-Driven Design With Tom Sawyer Software Ceo Brendan Madden
- A Look at the Landscape: Color and Composition With Artist Walt Bartman
- In Review...
- Chapter 6. Thinking . . . Machines
- The Yin-Yang of Data Analysis
- Scaling-Up Analysis: Knowledge, Data Mining, Machine Learning
- Entering the Mine
- Manual and Automatic
- Automated Observations and Human Hypotheses
- Black Boxes, Toy Boxes, and Out of the Box
- Gut-Checks and Algorithms
- Consternation About Correlation and Causation
- The Shape of Things to Come?
- Knowing How to Fold ’Em
- Multiple Intelligences and Data Visualization
- Questions, Ideas, Insights
- Humans, Computers, and Collaborations
- The Sum of the Parts
- Chapter 7. Hindsight, Foresight, and Insight
- Part 1—Adapting to Data
- Keeping Pace
- Part 2—New Dimensions in Data Visualization
- Part 3—Real Time
- The Elephant in the Room
- Border Crossings...
- Resources
- References
- Index
"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
- Edition: 1
- Latest edition
- Published: November 13, 2012
- Language: English
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