Experimental visualizations exploring alternative ways to slice, group, and interpret Crumbl data across multiple dimensions.
Crumbl Co-occurrence
Which flavors frequently appear together on the same weekly menu?
Connections represent flavors that have appeared together across multiple weekly menus, revealing affinities and recurring pairings. Stronger connections form clusters, highlighting groups that tend to travel together. Adjust the threshold to explore tighter or looser co-occurrence relationships.
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Crumbl Cleansing
How does raw menu data become a clean dataset?
This visualization shows the transformations we applied to flavor names as they flow from raw form to a normalized dataset. Records may pass through multiple rules, with flows representing the primary transformation responsible for consolidation. Click a category to see examples.
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