Beautiful visualization

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ConclusionAcknowledgments; References; Chapter Four: Color: The Cinderella of Data Visualization; Why Use Color in Data Graphics?; Luminosity As a Means of Recovering Local Density; Looking Forward: What About Animation?; Methods; Conclusion; References and Further Reading; Chapter Five: Mapping Information: Redesigning the New York City Subway Map; The Need for a Better Tool; London Calling; New York Blues; Better Tools Allow for Better Tools; Size Is Only One Factor; Looking Back to Look Forward; New York's Unique Complexity; Geography Is About Relationships; Sweat the Small Stuff.;ConclusionChapter Six: Flight Patterns: A Deep Dive; Techniques and Data; Color; Motion; Anomalies and Errors; Conclusion; Acknowledgments; Chapter Seven: Your Choices Reveal Who You Are: Mining and Visualizing Social Patterns; Early Social Graphs; Social Graphs of Amazon Book Purchasing Data; Conclusion; References; Chapter Eight: Visualizing the U.S. Senate Social Graph (1991-2009); Building the Visualization; The Story That Emerged; What Makes It Beautiful?; And What Makes It Ugly?; Conclusion; References; Chapter Nine: The Big Picture: Search and Discovery; The Visualization Technique.;Parallel SetsVisual Redesign; A New Data Model; The Database Model; Growing the Tree; Parallel Sets in the Real World; Conclusion; References; Chapter Thirteen: The Design of "X by Y"; Briefing and Conceptual Directions; Understanding the Data Situation; Exploring the Data; First Visual Drafts; The Final Product; Conclusion; Acknowledgments; References; Chapter Fourteen: Revealing Matrices; The More, the Better?; Databases As Networks; Data Model Definition Plus Emergence; Network Dimensionality; The Matrix Macroscope; Reducing for Complexity; Further Matrix Operations; The Refined Matrix.;Preface; How This Book Is Organized; Conventions Used in This Book; Using Code Examples; How to Contact Us; Safari® Books Online; Acknowledgments; Chapter One: On Beauty; What Is Beauty?; Learning from the Classics; How Do We Achieve Beauty?; Putting It Into Practice; Conclusion; Chapter Two: Once Upon a Stacked; Question + Visual Data + Context = Story; Steps for Creating an Effective Visualization; Hands-on Visualization Creation; Conclusion; Chapter Three: Wordle; Wordle's Origins; How Wordle Works; Is Wordle Good Information Visualization?; How Wordle Is Actually Used.;Visualization is the graphic presentation of data -- portrayals meant to reveal complex information at a glance. Think of the familiar map of the New York City subway system, or a diagram of the human brain. Successful visualizations are beautiful not only for their aesthetic design, but also for elegant layers of detail that efficiently generate insight and new understanding. This book examines the methods of two dozen visualization experts who approach their projects from a variety of perspectives -- as artists, designers, commentators, scientists, analysts, statisticians, and more. Togeth;YELLOWPAGES.COMThe Netflix Prize; Creating Your Own; Conclusion; References; Chapter Ten: Finding Beautiful Insights in the Chaos of Social Network Visualizations; Visualizing Social Networks; Who Wants to Visualize Social Networks?; The Design of SocialAction; Case Studies: From Chaos to Beauty; References; Chapter Eleven: Beautiful History: Visualizing Wikipedia; Depicting Group Editing; History Flow in Action; Chromogram: Visualizing One Person at a Time; Conclusion; Chapter Twelve: Turning a Table into a Tree: Growing Parallel Sets into a Purposeful Project; Categorical Data. Preface How This Book Is Organized Conventions Used in This Book Using Code Examples How to Contact Us Safari® Books Online Acknowledgments Chapter One: On Beauty What Is Beauty? Learning from the Classics How Do We Achieve Beauty? Putting It Into Practice Conclusion Chapter Two: Once Upon a Stacked Question + Visual Data + Context = Story Steps for Creating an Effective Visualization Hands-on Visualization Creation Conclusion Chapter Three: Wordle Wordle's Origins How Wordle Works Is Wordle Good Information Visualization? How Wordle Is Actually Used. ConclusionAcknowledgments References Chapter Four: Color: The Cinderella of Data Visualization Why Use Color in Data Graphics? Luminosity As a Means of Recovering Local Density Looking Forward: What About Animation? Methods Conclusion References and Further Reading Chapter Five: Mapping Information: Redesigning the New York City Subway Map The Need for a Better Tool London Calling New York Blues Better Tools Allow for Better Tools Size Is Only One Factor Looking Back to Look Forward New York's Unique Complexity Geography Is About Relationships Sweat the Small Stuff. ConclusionChapter Six: Flight Patterns: A Deep Dive Techniques and Data Color Motion Anomalies and Errors Conclusion Acknowledgments Chapter Seven: Your Choices Reveal Who You Are: Mining and Visualizing Social Patterns Early Social Graphs Social Graphs of Amazon Book Purchasing Data Conclusion References Chapter Eight: Visualizing the U.S. Senate Social Graph (1991-2009) Building the Visualization The Story That Emerged What Makes It Beautiful? And What Makes It Ugly? Conclusion References Chapter Nine: The Big Picture: Search and Discovery The Visualization Technique. YELLOWPAGES.COMThe Netflix Prize Creating Your Own Conclusion References Chapter Ten: Finding Beautiful Insights in the Chaos of Social Network Visualizations Visualizing Social Networks Who Wants to Visualize Social Networks? The Design of SocialAction Case Studies: From Chaos to Beauty References Chapter Eleven: Beautiful History: Visualizing Wikipedia Depicting Group Editing History Flow in Action Chromogram: Visualizing One Person at a Time Conclusion Chapter Twelve: Turning a Table into a Tree: Growing Parallel Sets into a Purposeful Project Categorical Data. Parallel SetsVisual Redesign A New Data Model The Database Model Growing the Tree Parallel Sets in the Real World Conclusion References Chapter Thirteen: The Design of "X by Y" Briefing and Conceptual Directions Understanding the Data Situation Exploring the Data First Visual Drafts The Final Product Conclusion Acknowledgments References Chapter Fourteen: Revealing Matrices The More, the Better? Databases As Networks Data Model Definition Plus Emergence Network Dimensionality The Matrix Macroscope Reducing for Complexity Further Matrix Operations The Refined Matrix.