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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
Design Principles for Effective Visualization
Color Theory and Application
Color Science Fundamentals
Light and Color Perception
Color Mixing Principles
Color Constancy
Color Models and Spaces
RGB Color Model
CMYK Color Model
HSL Color Space
LAB Color Space
Color Palette Design
Sequential Palettes
Single Hue Progression
Multi-Hue Sequences
Diverging Palettes
Neutral Midpoints
Contrasting Extremes
Categorical Palettes
Distinct Hues
Balanced Saturation
Color Harmony Principles
Complementary Colors
Analogous Colors
Triadic Colors
Monochromatic Schemes
Accessibility Considerations
Color Vision Deficiency
Protanopia
Deuteranopia
Tritanopia
Contrast Requirements
Alternative Encodings
Layout and Composition
Visual Hierarchy Principles
Primary Elements
Secondary Elements
Supporting Details
Data-Ink Ratio Optimization
Essential Elements
Redundant Elements
Chart Junk Elimination
White Space Utilization
Breathing Room
Element Separation
Focus Direction
Grid Systems
Alignment Principles
Proportional Spacing
Modular Organization
Balance and Proportion
Visual Weight Distribution
Golden Ratio Application
Symmetry vs Asymmetry
Typography in Visualization
Font Selection Criteria
Readability Requirements
Legibility Standards
Context Appropriateness
Font Categories
Serif Fonts
Sans-Serif Fonts
Monospace Fonts
Display Fonts
Typography Hierarchy
Font Size Scaling
Font Weight Variation
Font Style Application
Text Placement and Alignment
Label Positioning
Text Orientation
Alignment Consistency
Annotation and Context
Title Systems
Main Titles
Subtitles
Section Headers
Axis Systems
Axis Labels
Tick Marks
Grid Lines
Scale Indicators
Legend Design
Legend Placement
Legend Formatting
Legend Ordering
Direct Labeling
Data Point Labels
Callout Annotations
Explanatory Notes
Contextual Information
Data Sources
Methodology Notes
Temporal Context
Comparative Benchmarks
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5. Chart Types and Applications
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7. Interactivity in Data Visualization