seaborn

I use distribution plots to decide whether a feature is stable enough to model, whether it needs transformation, or whether data drift is already happening. Seaborn makes it easy to compare classes, cohorts, or time windows. The visual check usually c

I spend a few minutes standardizing plotting defaults before I start analysis. Better typography, clear labels, and consistent palette choices reduce review cycles and improve notebook readability. Charts should explain themselves without requiring a