i get the skepticism—whats the point of pandas normalization if ur data seems fine? but here’s a real-world example:
i once had a dataset with age (18-80) and income (0-200k). without normalization, income totally overshadowed age in my analysis. after scaling, the relationship was way clearer.
tools like `sklearn.StandardScaler` make it easy. or just use pandas’ built-in methods if u’re not doing ML.
i once had a dataset with age (18-80) and income (0-200k). without normalization, income totally overshadowed age in my analysis. after scaling, the relationship was way clearer.
tools like `sklearn.StandardScaler` make it easy. or just use pandas’ built-in methods if u’re not doing ML.
