<ul><li>Data cleaning is the process of detecting, correcting or removing incorrect, corrupted, incomplete data in a dataset or table.</li><li>Handling missing values is an important step in data cleaning to avoid bias and inaccurate conclusions.</li><li>Deletion and imputation are common techniques used in data cleaning to handle missing values.</li><li>Data cleaning also involves addressing data duplication and ensuring consistent data formats and types.</li></ul>

Hey! You Forget to Clean Your Data

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