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Pre-processing is a crucial step in data mining and analysis that involves transforming raw data into a format suitable for computer analysis. While structured data (e.g., numbers, dates, currency) is easy to analyze, unstructured data (such as text and images) requires cleaning, formatting, and organizing before it can be effectively analyzed. This process ensures that the data is in a usable state for further analysis or machine learning tasks.