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What is Data Cleaning Techniques Explained about?

The document outlines methods for data cleaning, including identifying outliers, duplicates, and using fuzzy matching and RegEx for pattern recognition. It emphasizes normalization and standardization of data, saving cleaned data, and scripting for automation. The importance of testing the cleaning process on new data is also highlighted to ensure robustness.

Author

22551a4421.aakash

Language

EN