whats the point of pandas normalization? short answer: it depends.
if u’re just doing exploratory stuff, maybe u don’t need it. but for anything quantitative—ML, stats, even some visualizations—it’s a game-changer.
try plotting two unscaled features on the same graph. one will look flat, the other super spikey. normalization fixes that.
pandas has `df.transform()` or u can roll ur own with simple math.
if u’re just doing exploratory stuff, maybe u don’t need it. but for anything quantitative—ML, stats, even some visualizations—it’s a game-changer.
try plotting two unscaled features on the same graph. one will look flat, the other super spikey. normalization fixes that.
pandas has `df.transform()` or u can roll ur own with simple math.
