Standardizing data is a vital part of the data cleaning process. It guarantees consistency and uniformity within the dataset, which is essential for precise analysis, reporting, and machine learning models, leading to optimal data integrity. Depending on the data’s nature and the analysis requirements, standardizing data can involve a variety of transformations and operations. The main aspects of data standardization include:
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