CS109 Lecture 5

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

1. Dot Map

   A Dot for Every Data Item

2. Choropleth Map

   Attribute Uniformly Distributed in Region

3. Isarithmic Map

   Color Coding Continuous Pheomena

4. Cartograms

   Size of Region Scaled to Attribute Value

5. Edges Augmented Onto Map

Text Visualization

1. Tag Cloud / Word Cloud / Wordle [Try it]

   Change Word Size / Color by Frequency

2. Spark Clouds

   Convey Trends Between Multiple Tag Coulds Over Time

3. Phrase Net

   [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.

4. Theme River / Stream Graph

   Thematic Changes Over Time

5. Literature Fingerprinting

   Visualize Several Text Measures To Discriminate Between Authors

   ​

Visualization Tools Recommendation

Tableau

Data-Driven Documents (D3.js)