Text transformations, including tokenization and n-gram generation, to process textual data within the CSV.

Number transformations, such as normalization and scaling, to adjust numerical data for better model performance.

Timestamp transformations, including parsing and formatting, to handle date and time data effectively.

Array transformations, which involve operations on complex data types like lists within the CSV file.

Categorical transformations, including one-hot encoding and label encoding, to manage categorical variables.