CS109 Lecture 5
Posted ZJun310
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CS109 Lecture 5
Multi-Dimensional Data Visualization
Scatterplot Matrices
Parallel Coordinates / Flexible Linked Axes
Pix-Basses Visualizations / Heat Maps
Dimensionality Reduction
Extra Example : LineUp \\ Visualization Assembly Line
Map Visualization
Map Projections
- Cylinder Projection
- Plane Projection
- Cone Projection
Be Careful about Distortion Effect
Map Types
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A Dot for Every Data Item
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Attribute Uniformly Distributed in Region
Isarithmic Map
Color Coding Continuous Pheomena
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Size of Region Scaled to Attribute Value
Edges Augmented Onto Map
Text Visualization
Tag Cloud / Word Cloud / Wordle [Try it]
Change Word Size / Color by Frequency
Spark Clouds
Convey Trends Between Multiple Tag Coulds Over Time
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[Graph] Nodes = Words | Edges = Linked by user specified relation
The size of the text represents word frequency within the text. The connections between words are usually displayed as arrows where their directionality and width communicate the flow and strength of connected words.
Words can be linked with various connectors such as “and,” “the,” “at,” space, or a custom connection term.
Theme River / Stream Graph
Thematic Changes Over Time
Literature Fingerprinting
Visualize Several Text Measures To Discriminate Between Authors
Visualization Tools Recommendation
Data-Driven Documents (D3.js)
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