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What changes were proposed in this PR?
This change introduces a radar chart operator, which visualizes multivariate data by plotting multiple quantitative variables on axes that radiate from a central point.
In a radar chart:
Each axis represents a distinct variable or feature.
Data points are plotted along each axis according to their value and connected to form a polygon.
Multiple observations can be overlaid for comparison.
The resulting shape and area provide intuitive insights into the strengths, weaknesses, and patterns across variables.
This visualization is especially useful for comparing feature profiles, identifying outliers, and understanding the distribution of values across several dimensions in a single, compact graphic.
The operator takes as input a set of variables (features) for each observation and outputs a radar chart that enables easy visual comparison across all provided dimensions.
Any related issues, documentation, discussions?
No related issues, documentation, discussions have been linked to this feature at this time.
How was this PR tested?
A dedicated test file (TestRadarChart.scala) was created to thoroughly test the radar chart operator, covering both typical and edge cases. The tests verify correct rendering and data handling for various input scenarios. In addition, all existing test cases were run using sbt test to ensure no regressions were introduced. Manual testing was also performed in the Texera UI to visually confirm the radar chart output.
Was this PR authored or co-authored using generative AI tooling?
This PR was co-authored by Perplexity AI.