Data preparation refers to the process of transforming raw data into a format that is suitable for analysis. This process involves cleaning, organizing, and preprocessing data to ensure its accuracy, completeness, and consistency. Data preparation also includes tasks such as removing duplicates, handling missing values, and transforming data into a standardized format. Proper data preparation is crucial for ensuring the quality and reliability of data analysis results.