Data Insights by Whitney, Hunter -- Read -- Imperial Library of Trantor

Index

Cover image Title page Table of Contents Copyright 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