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Transforming data is like turning a pile of puzzle pieces into a complete picture, giving raw numbers and facts real meaning. So let’s jump right in and explore the tools that our data scientist friends use every single day. Kicking things off, think about normalization; it’s all about getting different numerical columns to play nice on the same scale. Ever tried matching someone’s height when one is listed in inches and another in centimeters? It doesn’t make much sense without some sort of standardization, does it? And imagine you’re crunching numbers from financial statements across borders, with various currencies thrown into the mix; without normalization, there’d be chaos.