1. Star Coordinates
A Multi-dimensional Visualization Technique with Uniform Treatment of Dimensions

2. The Problem . . . Data typically viewed in 2D and 3D visualizations
Mapping a given point to it’s corresponding data values becomes increasingly difficult
Rotation provides assistance in 3D
Star Coordinates is useful for dimensions greater than 3

3. Basic Idea
Coordinate system based on axes positioned in a “star”, or circular pattern
User’s are willing to sacrifice some information during initial analysis
By sacrificing detail, underlying patterns in the data are revealed

4. Using the system
Scaling changes contribution to resulting visualization
Rotation induces correlation between data columns
Modification of queries using rotation and scaling

6. Drawbacks Detail description sometimes obscured by data points
Learning curve for operation

7. Conclusion
Particularly useful for identifying “clustering” of data based on user defined queries
Provides users with an initial interpretation of data