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A customizable visualization toolkit improves data representation through chord diagrams, showcasing correlations in astronomy.
We introduce Chord D iagram , the first module of Custom Axes and CHarts Advanced Interface (C achai ), a fully customizable visualization toolkit for P ython . Chord D iagram creates publication-ready chord diagrams with fine control over edge styles, node colors, and layout, addressing key limitations of existing tools. Features include per-element styling, correlation thresholding, targeted highlighting, adaptive node spacing, log-scaled link thickness, and more. While broadly applicable, we showcase its use in astronomy by visualizing (anti-)correlations among stellar parameters and kinematics. Chord D iagram forms the foundation of the C achai suite, available via pip ( https://pypi.org/project/cachai ), and at https://github.com/DD-Beltran-F/cachai , where the user can find a detailed documentation and examples.
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Beltrán et al. (2025) studied this question.
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