Handling missing data in non-numerical columns is an essential step in data preprocessing for machine learning tasks. When dealing with non-numerical data, such as categorical or text data, there are two main options for handling missing values: imputation and deletion. In this answer, we will explore these options in detail and provide examples to illustrate