Data cleaning and preprocessing are fundamental steps in the data analysis and machine learning workflow. Raw data is often incomplete, inconsistent, or contains errors, making it unsuitable for analysis. By properly cleaning and preprocessing data, analysts and data scientists can ensure accuracy, consistency, and reliability in their insights. Th