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Data Cleaning 1756871925 by rkhridoyinfo is a document available to read on EtoBox.
What is Data Cleaning 1756871925 about?
The document outlines essential SQL data cleaning techniques crucial for accurate data analysis, including handling missing values, removing duplicates, standardizing formats, and managing outliers. It provides practical examples and code snippets for each technique, along with common interview questions to assess knowledge in SQL data cleaning. Key functions discussed include COALESCE(), DISTINCT, ROW_NUMBER(), and REGEXP.
- Author
- rkhridoyinfo
- Language
- EN