Which tool would you use to parse structured text data in Alteryx?

The Text to Columns tool is designed specifically to parse structured text data by splitting a single text field into multiple fields based on a specified delimiter. This is particularly useful when dealing with data that is formatted in a predictable structure, such as CSV or other delimited formats, where data elements are separated by commas, tabs, or other characters.

When using the Text to Columns tool, you can define how many columns you want to create and the delimiter that separates the items in the text string. This allows for easy extraction of relevant data points and facilitates further processing or analysis of the segmented data.

While other tools like the Data Cleansing tool are useful for cleaning data or removing unwanted characters, they do not specifically split text fields into multiple components. The Formula tool is primarily used for performing calculations or modifications on fields but does not inherently parse structured text. The Join tool is meant for combining data from two different sources based on a common field and does not focus on text parsing. Therefore, the Text to Columns tool is the most appropriate choice for this task.