Which Of The Following Occurs During Data Cleansing?
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Data cleansing typically involves a combination of standardization, validation, transformation, outlier detection, and other processes. Standardization is the process of formatting data into a consistent format by adjusting case, punctuation, and other characteristics. Validation checks to see if data meets certain criteria or has certain preset characteristics. Transformation is the process of transforming and/or mapping data into a different form in order to prepare it for analysis or further processing. Outlier detection is the process of identifying extreme values in a dataset that do not fit the expected patterns; outliers can be indicative of errors or data entry issues.