“Data preprocessing is necessary before Data Mining process”. Justify your answer.

Data preprocessing is a crucial step before initiating the data mining process in the context of data warehousing. It involves cleaning, transforming, and organizing raw data into a format suitable for analysis. Several reasons justify the necessity of data preprocessing in the data mining workflow:

1. Quality Improvement: Raw data often contains errors, missing values, or inconsistencies. Preprocessing helps to identify _____ __________ ____ ________ ________ __________ ____ ______ _______ _________ _______ ________.
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