Interactive Visual Data Analysis (AK Peters Visualization Series)

In the age of big data, being able to make sense of data is an important key to success. advocates the synthesis of visualization, interaction, and automatic computation to facilitate insight generation and knowledge crystallization from large and complex data.The book provides a systematic and comprehensive overview of visual, interactive, and analytical methods. It introduces criteria for designing interactive visual data analysis solutions, discusses factors influencing the design, and examines the involved processes. The reader is made familiar with the basics of visual encoding and gets to know numerous visualization techniques for multivariate data, temporal data, geo-spatial data, and graph data. A dedicated chapter introduces general concepts for interacting with visualizations and illustrates how modern interaction technology can facilitate the visual data analysis in many ways. Addressing today's large and complex data, the book covers relevant automatic analytical computations to support the visual data analysis. The book also sheds light on advanced concepts for visualization in multi-display environments, user guidance during the data analysis, and progressive visual data analysis.The authors present a top-down perspective on interactive visual data analysis with a focus on concise and clean terminology. Many real-world examples and rich illustrations make the book accessible to a broad interdisciplinary audience from students, to experts in the field, to practitioners in data-intensive application domains.Features:Dedicated to the synthesis of visual, interactive, and analysis methods Systematic top-down view on visualization, interaction, and automatic analysis Broad coverage of fundamental and advanced visualization techniques Comprehensive chapter on interacting with visual representations Extensive integration of automatic computational methods Accessible portrayal of cutting-edge visual analytics technology Foreword by Jack van WijkFor more information, you can also visit the author website, where the book's figures will be made available under the CC BY Open Access license: https: //ivda-book.de/ Cover......Page 1 Half Title......Page 2 Series Page......Page 3 Title Page......Page 4 Copyright Page......Page 5 Dedication......Page 6 Contents......Page 8 Foreword......Page 14 Preface......Page 16 Authors......Page 18 Chapter 1: Introduction......Page 20 1.1.1 Visualization, Interaction, and Computation......Page 21 1.1.2 Five Ws of Interactive Visual Data Analysis......Page 23 1.2.1 Starting Simple......Page 24 1.2.2 Enhancing the Data Analysis......Page 27 1.2.3 Considering Advanced Techniques......Page 29 1.3 BOOK OUTLINE......Page 32 Chapter 2: Criteria, Factors, and Models......Page 34 2.1 CRITERIA......Page 35 2.2.1 The Subject: Data......Page 38 2.2.2 The Objective: Analysis Tasks......Page 47 2.2.3 The Context: Users and Technologies......Page 54 2.2.4 Demonstrating Example......Page 57 2.3.1 Design......Page 60 2.3.2 Data Transformation......Page 63 2.3.3 Knowledge Generation......Page 66 2.4 SUMMARY......Page 67 Chapter 3: Visualization Methods and Techniques......Page 70 3.1.1 Encoding Data Values......Page 73 3.1.2 Presentation......Page 81 3.2.1 Table-based Visualization......Page 86 3.2.2 Combined Bivariate Visualization......Page 88 3.2.3 Polyline-based Visualization......Page 90 3.2.4 Glyph-based Visualization......Page 92 3.2.5 Pixel-based Visualization......Page 94 3.2.6 Nested Visualization......Page 96 3.3.1 Time and Temporal Data......Page 101 3.3.2 Visualization Techniques......Page 105 3.4 VISUALIZATION OF GEO-SPATIAL DATA......Page 114 3.4.1 Geographic Space and Geo-spatial Data......Page 115 3.4.2 General Visualization Strategies......Page 118 3.4.3 Visualizing Spatio-temporal Data......Page 125 3.5.1 Graph Data......Page 130 3.5.2 Basic Visual Representations......Page 132 3.5.3 Visualizing Multi-faceted Graphs......Page 137 3.6 SUMMARY......Page 143 Chapter 4: Interacting with Visualizations......Page 148 4.1 HUMAN IN THE LOOP......Page 150 4.1.1 Interaction Intents and Action Patterns......Page 151 4.1.2 The Action Cycle......Page 154 4.2.1 Interaction Costs......Page 155 4.2.2 Directness of Interaction......Page 157 4.2.3 Design Guidelines......Page 162 4.3 BASIC OPERATIONS FOR INTERACTION......Page 163 4.3.1 Taking Action......Page 164 4.3.2 Generating Feedback......Page 165 4.4 INTERACTIVE SELECTION AND ACCENTUATION......Page 167 4.4.1 Specifying Selections......Page 168 4.4.2 Visual Emphasis and Attenuation......Page 172 4.4.3 Enhanced Selection Support......Page 175 4.5 NAVIGATING ZOOMABLE VISUALIZATIONS......Page 178 4.5.1 Basics and Conceptual Considerations......Page 179 4.5.2 Visual Interface and Interaction......Page 181 4.5.3 Interaction Aids and Visual Cues......Page 183 4.5.4 Beyond Zooming in Two Dimensions......Page 187 4.6.1 Conceptual Model......Page 192 4.6.2 Adjustable Properties......Page 195 4.6.3 Lenses in Action......Page 197 4.7.1 Basics and Requirements......Page 203 4.7.2 Naturally Inspired Comparison......Page 205 4.7.3 Reducing Comparison Costs......Page 209 4.8.1 Touching Visualizations......Page 213 4.8.2 Interacting with Tangibles......Page 216 4.8.3 Moving the Body to Explore Visualizations......Page 221 4.9 SUMMARY......Page 223 Chapter 5: Automatic Analysis Support......Page 226 5.1.1 Computing and Visualizing Density......Page 228 5.1.2 Bundling Geometrical Primitives......Page 231 5.2.1 Degree of Interest......Page 233 5.2.2 Feature-based Visual Analysis......Page 239 5.2.3 Analyzing Features of Chaotic Movement......Page 243 5.3.1 Sampling and Aggregation......Page 250 5.3.2 Exploring Multi-scale Data Abstractions......Page 252 5.4.1 Classification......Page 258 5.4.2 Data Clustering......Page 262 5.4.3 Clustering Multivariate Dynamic Graphs......Page 269 5.5 REDUCING DIMENSIONALITY......Page 276 5.5.1 Principal Component Analysis......Page 277 5.5.2 Visual Data Analysis with Principal Components......Page 279 5.6 SUMMARY......Page 282 Chapter 6: Advanced Concepts......Page 286 6.1 VISUALIZATION IN MULTI-DISPLAY ENVIRONMENTS......Page 287 6.1.1 Environment and Requirements......Page 288 6.1.2 Supporting Collaborative Visual Data Analysis......Page 289 6.1.3 Multi-display Analysis of Climate Change Impact......Page 295 6.2 GUIDING THE USER......Page 296 6.2.1 Characterization of Guidance......Page 297 6.2.2 Guiding the Navigation in Hierarchical Graphs......Page 302 6.2.3 Guiding the Visual Analysis of Heterogeneous Data......Page 305 6.3 PROGRESSIVE VISUAL DATA ANALYSIS......Page 307 6.3.1 Conceptual Considerations......Page 309 6.3.2 Multi-threading Architecture......Page 313 6.3.3 Scenarios......Page 316 6.4 SUMMARY......Page 322 7.1 WHAT’S BEEN DISCUSSED......Page 324 7.2 HOW TO CONTINUE......Page 326 Bibliography......Page 330 Index......Page 358 Figure Credits......Page 362 In The Age Of Big Data, Being Able To Make Sense Of Data Is An Important Key To Success. Interactive Visual Data Analysis Advocates The Synthesis Of Visualization, Interaction, And Automatic Computation To Facilitate Insight Generation And Knowledge Crystallization From Large And Complex Data. The Book Provides A Systematic And Comprehensive Overview Of Visual, Interactive, And Analytical Methods. It Introduces Criteria For Designing Interactive Visual Data Analysis Solutions, Discusses Factors Influencing The Design, And Examines The Involved Processes. The Reader Is Made Familiar With The Basics Of Visual Encoding And Gets To Know Numerous Visualization Techniques For Multivariate Data, Temporal Data, Geo-spatial Data, And Graph Data. A Dedicated Chapter Introduces General Concepts For Interacting With Visualizations And Illustrates How Modern Interaction Technology Can Facilitate The Visual Data Analysis In Many Ways. Addressing Today's Large And Complex Data, The Book Covers Relevant Automatic Analytical Computations To Support The Visual Data Analysis. The Book Also Sheds Light On Advanced Concepts For Visualization In Multi-display Environments, User Guidance During The Data Analysis, And Progressive Visual Data Analysis. The Authors Present A Top-down Perspective On Interactive Visual Data Analysis With A Focus On Concise And Clean Terminology. Many Real-world Examples And Rich Illustrations Make The Book Accessible To A Broad Interdisciplinary Audience From Students, To Experts In The Field, To Practitioners In Data-intensive Application Domains. Features: Dedicated To The Synthesis Of Visual, Interactive, And Analysis Methods Systematic Top-down View On Visualization, Interaction, And Automatic Analysis Broad Coverage Of Fundamental And Advanced Visualization Techniques Comprehensive Chapter On Interacting With Visual Representations Extensive Integration Of Automatic Computational Methods Accessible Portrayal Of Cutting-edge Visual Analytics Technology For More Information, You Can Also Visit The Author Website, Where The Book's Figures Will Be Made Available Under The Cc By Open Access License: Https: //ivda-book.de/ In the age of big data, being able to make sense of data is an important key to success. Interactive Visual Data Analysis advocates the synthesis of visualization, interaction, and automatic computation to facilitate insight generation and knowledge crystallization from large and complex data.The book provides a systematic and comprehensive overview of visual, interactive, and analytical methods. It introduces criteria for designing interactive visual data analysis solutions, discusses factors influencing the design, and examines the involved processes. The reader is made familiar with the basics of visual encoding and gets to know numerous visualization techniques for multivariate data, temporal data, geo-spatial data, and graph data. A dedicated chapter introduces general concepts for interacting with visualizations and illustrates how modern interaction technology can facilitate the visual data analysis in many ways. Addressing today's large and complex data, the book covers relevant automatic analytical computations to support the visual data analysis. The book also sheds light on advanced concepts for visualization in multi-display environments, user guidance during the data analysis, and progressive visual data analysis.The authors present a top-down perspective on interactive visual data analysis with a focus on concise and clean terminology. Many real-world examples and rich illustrations make the book accessible to a broad interdisciplinary audience from students, to experts in the field, to practitioners in data-intensive application domains.Features: Dedicated to the synthesis of visual, interactive, and analysis methods Systematic top-down view on visualization, interaction, and automatic analysis Broad coverage of fundamental and advanced visualization techniques Comprehensive chapter on interacting with visual representations Extensive integration of automatic computational methods Accessible portrayal of cutting-edge visual analytics technology Foreword by Jack van Wijk For more information, you can also visit the author website, where the book's figures are made available under the CC BY Open Access license. In the age of big data, being able to make sense of data is an important key to success. Interactive Visual Data Analysis advocates the synthesis of visualization, interaction, and automatic computation to facilitate insight generation and knowledge crystallization from large and complex data. The book provides a systematic and comprehensive overview of visual, interactive, and analytical methods. It introduces criteria for designing interactive visual data analysis solutions, discusses factors influencing the design, and examines the involved processes. The reader is made familiar with the basics of visual encoding and gets to know numerous visualization techniques for multivariate data, temporal data, geo-spatial data, and graph data. A dedicated chapter introduces general concepts for interacting with visualizations and illustrates how modern interaction technology can facilitate the visual data analysis in many ways. Addressing todays large and complex data, the book covers relevant automatic analytical computations to support the visual data analysis. The book also sheds light on advanced concepts for visualization in multi-display environments, user guidance during the data analysis, and progressive visual data analysis. The authors present a top-down perspective on interactive visual data analysis with a focus on concise and clean terminology. Many real-world examples and rich illustrations make the book accessible to a broad interdisciplinary audience from students, to experts in the field, to practitioners in data-intensive application domains. For more information, you can also visit the author , where the book's figures are made available under the CC BY Open Access license. "The book provides a comprehensive overview on information visualization and visual exploration. The top-down view on the problem illustrated with numerous examples based on real data and settings will help people from these domains to get a sound knowledge about key challenges, concepts and methodologies in this regard"-- Provided by publisher