SECURITY DATA VISUALIZATION GREG CONTI Chapter 1. An Overview of Information Visualization 2 Information Visualization The goal of information visualization is to transform abstract data into computer graphics that are easy to understand and to use to support decision making and reasoning. -Provide insight into data -Understand big datasets at a glance -Share your insights quickly and easily 3 Why Information Visualization Human Perception Human Vision (neurons, brightness, lightness, contrast, shading, color, pattern) Human Parallel Processing InfoVis . 4 Preattentive Processing -a humans ability to rapidly and accurately analyze visual properties of images at a very low level, without requiring focused attention -attention pop-out -attention . - -serial parallel . -orientation, curved/straight, shape, size, number, gray/value, enclosure, convexity/concavity, added mark Why Information Visualization 5 6 Data Type Categorical (nominal) Data : . . Ordinal Data : . . Interval Data : . Hierarchical Data : TreeMap Graph Data (Network Data) : node, link undirected/directed 7 8 9 Graphical Layout Techniques Using Starplots to Visualize Multivariate Data 10 Graphical Layout Techniques Small Multiples 11 Graphical Layout Techniques Focus+Context 12 Interaction Techniques The Visual Information Seeking Mantra - Overview first, Zoom and filter and Details on demand 13 Interacting with Objects and Controls -Direct Manipulation -Linking and Brushing Interaction Techniques 14 Interacting with Objects and Controls -Color Encoding Interaction Techniques 15 Interacting with Objects and Controls -Dynamic Queries Interaction Techniques