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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
Visual Encoding and Grammar
Data-to-Visual Mapping Principles
Encoding Effectiveness
Perceptual Accuracy
Discriminability
Separability
Encoding Appropriateness
Data Type Matching
Task Suitability
Avoiding Misrepresentation
Proportional Encoding
Scale Consistency
Context Preservation
Visual Variables Framework
Marks (Geometric Primitives)
Point Marks
Scatter Points
Dot Representations
Line Marks
Connecting Lines
Trend Lines
Boundaries
Area Marks
Filled Regions
Polygons
Bars and Rectangles
Channels (Visual Properties)
Position Channels
Horizontal Position
Vertical Position
Depth Position
Size Channels
Length Encoding
Area Encoding
Volume Encoding
Shape Channels
Symbol Variation
Geometric Forms
Color Channels
Hue Variation
Saturation Levels
Luminance Differences
Orientation Channels
Angle Encoding
Directional Indication
Texture Channels
Pattern Variation
Surface Properties
Grammar of Graphics Framework
Data Layer
Raw Data Input
Data Transformation
Aesthetic Mappings
Variable-to-Channel Assignment
Scaling Functions
Geometric Objects
Point Geometries
Line Geometries
Polygon Geometries
Text Geometries
Scale Systems
Linear Scales
Logarithmic Scales
Categorical Scales
Time Scales
Coordinate Systems
Cartesian Coordinates
Polar Coordinates
Geographic Projections
Transformed Coordinates
Faceting Systems
Panel Layouts
Small Multiples
Conditional Plotting
Statistical Transformations
Aggregation Functions
Smoothing Operations
Binning Procedures
Density Estimation
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3. Principles of Visual Perception
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5. Chart Types and Applications