Deletion methods are techniques used in data cleaning to handle missing or incomplete data by removing records that contain these gaps. This approach is essential in ensuring the quality and integrity of data analysis, as missing values can lead to biased results and affect the validity of statistical conclusions. By eliminating problematic records, analysts can focus on complete datasets that offer a clearer picture of trends and relationships.
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