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Binning in Pandas: Equal Width vs Quantile Bins (CUT QCUT Tutorial) | Ankur G.
Turning continuous data into meaningful categories is one of the simplest ways to uncover insights — and Pandas gives us two powerful tools to do it: cut() and qcut(). 🔹 cut() → Define Your Own Buckets Perfect when you want clear, domain-driven ranges: • Age groups (0–18, 19–35, 36–60…) • Revenue tiers • Threshold-based ...
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