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Data Clean by hamilton_correa is a document available to read on EtoBox.

What is Data Clean about?

The document outlines essential SQL data cleaning techniques necessary for accurate data analysis, including handling missing values, removing duplicates, standardizing data formats, and managing outliers. It provides practical examples and code snippets for each technique, as well as common interview questions to assess knowledge in SQL data cleaning. The focus is on ensuring data integrity and consistency to avoid misleading results in data analysis.

Author

hamilton_correa

Language

EN