Which operations can the Data Cleansing Tool perform?

The Data Cleansing Tool in Alteryx is specifically designed for operations that improve the quality of your data. Among its capabilities, it allows users to replace null values, remove unwanted characters, and capitalize the first letter of all words in a text field. This tool focuses on enhancing the readability and usability of data by addressing common data quality issues.

By replacing null values, the Data Cleansing Tool helps in ensuring that datasets do not contain gaps that could hinder analysis. Removing unwanted characters aids in cleaning up fields that may contain extraneous symbols or formatting issues, which is critical for standardization. Capitalizing the first letter of words enhances text data by making it more uniform and easier to read.

The other choices do not accurately represent the functionalities of the Data Cleansing Tool. Merging datasets is a function typically associated with the Join Tool or Union Tool, while the removal of unwanted characters only serves as a subset of the broader functionality provided by the Data Cleansing Tool. Furthermore, the Data Preparation Tool encompasses a wider range of functions beyond those that the Data Cleansing Tool offers, making it incorrect to suggest that it could perform all of those operations.