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Computer Science
Data Visualization
Data Visualization
1. Introduction to Data Visualization
2. Data Foundations for Visualization
3. Principles of Visual Perception
4. Visual Encoding and Grammar
5. Chart Types and Applications
6. Design Principles for Effective Visualization
7. Interactivity in Data Visualization
8. Data Storytelling and Narrative Visualization
9. Tools and Technologies
10. Advanced Visualization Topics
11. Ethics and Critical Evaluation
Principles of Visual Perception
Human Visual System Fundamentals
Visual Processing Pathway
Retinal Processing
Visual Cortex Function
Parallel Processing Channels
Preattentive Processing
Automatic Detection
Processing Speed
Attention Capture
Preattentive Attributes
Color Properties
Hue Discrimination
Saturation Sensitivity
Brightness Perception
Form Attributes
Shape Recognition
Size Comparison
Orientation Detection
Motion Detection
Spatial Position
Location Encoding
Relative Position
Cognitive Processing Limitations
Working Memory Constraints
Capacity Limitations
Duration Limits
Chunking Strategies
Cognitive Load Theory
Intrinsic Load
Extraneous Load
Germane Load
Attention and Focus
Selective Attention
Divided Attention
Attention Switching
Gestalt Principles of Perception
Proximity Principle
Spatial Grouping
Visual Clustering
Similarity Principle
Attribute-Based Grouping
Pattern Recognition
Enclosure Principle
Boundary Effects
Container Grouping
Closure Principle
Completion Tendency
Missing Information Inference
Continuity Principle
Smooth Path Following
Line Continuation
Connection Principle
Linked Elements
Relationship Indication
Figure-Ground Separation
Foreground-Background Distinction
Visual Hierarchy
Implications for Visualization Design
Effective Grouping Strategies
Visual Clustering
Categorical Separation
Pattern Emphasis Techniques
Highlighting Methods
Contrast Application
Reducing Cognitive Load
Simplification Strategies
Progressive Disclosure
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2. Data Foundations for Visualization
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4. Visual Encoding and Grammar