Which of the following tools is primarily used for cleaning string data in Alteryx?

The most suitable tool for cleaning string data in Alteryx is the Data Cleansing Tool. This tool is specifically designed to handle various string cleansing operations, such as removing unwanted characters, trimming whitespace, changing case, and replacing or removing null values. The Data Cleansing Tool streamlines the process for users by providing a user-friendly interface where they can select specific cleaning actions to be applied to string data within a dataset.

While the Formula Tool is capable of performing string manipulation and cleaning through custom expressions, it requires users to write specific formulas for each cleaning action. This can be more complex and less efficient for simple string cleaning tasks compared to the straightforward options provided by the Data Cleansing Tool.

The Text to Columns Tool serves a different purpose, as it is used to split string data into multiple columns based on a specified delimiter. This tool does not focus on cleaning but rather on reformatting the dataset structure.

The String Join Tool concatenates multiple string fields into one single field, which is also not aimed at cleaning data. It focuses on combining string values rather than enhancing the quality or integrity of string data.

In summary, for basic string data cleaning tasks, the Data Cleansing Tool is the most effective choice in Alteryx, offering specialized features