📄️ Drop Columns
The Drop Columns transform allows you to remove specific columns from your dataset. This is useful for simplifying your data structure, removing unnecessary information, or focusing on a subset of your data.
📄️ Remove Duplicates
The Remove Duplicates transform allows you to identify and remove duplicate rows from your dataset based on specified columns. This is useful for data cleaning, eliminating redundant information, and ensuring data integrity.
📄️ Text Case
The Text Case transform allows you to change the capitalization of text in your dataset. This is useful for standardizing text data, improving readability, or preparing data for case-sensitive operations.
📄️ Regex Filter
The Regex Filter transform allows you to apply regular expression patterns to text columns in your dataset. This powerful tool enables you to search, replace, or transform text data based on specific patterns.
📄️ Text Cleanup
The Text Cleanup transform provides comprehensive cleaning of text data in your dataset. It offers options for emoji conversion, punctuation handling, whitespace normalization, and null value replacement.