With ingredients in hand, the next step is to prepare them for analysis.
Just as a chef cleans and preps ingredients to enhance their flavors, data scientists employ techniques like data cleaning, preprocessing, and transformation to refine raw data into a usable format.
This corresponds to the "Data Preparation" stage of the data science lifecycle, where the focus is on ensuring data quality and consistency before analysis.