Data preprocessing in catalysis refers to the steps taken to clean, transform, and prepare raw data for analysis. This is crucial because the quality of the data directly affects the reliability of the results. Preprocessing involves a variety of tasks such as data cleaning, normalization, transformation, and feature extraction.
