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Star Coordinates. A Multi-dimensional Visualization Technique with Uniform Treatment of Dimensions. 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
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Star Coordinates A Multi-dimensional Visualization Technique with Uniform Treatment of Dimensions
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
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
Using the system • Scaling changes contribution to resulting visualization • Rotation induces correlation between data columns • Modification of queries using rotation and scaling
Drawbacks • Detail description sometimes obscured by data points • Learning curve for operation
Conclusion • Particularly useful for identifying “clustering” of data based on user defined queries • Provides users with an initial interpretation of data