Principles of Data Science
Data transformation is the process of converting data from its original format into a format that is suitable for analysis or processing. This often includes cleaning, structuring, and changing data types to enhance the quality and usability of the data. It plays a critical role in preparing datasets for effective analysis, especially when dealing with issues like outliers, normalization needs, and feature engineering.
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