Which type of pattern operation edits pattern variables after data retrieval?

The type of pattern operation that edits pattern variables after data retrieval is accurately identified as the "Data" operation. In the context of pattern operations within a discovery framework, this type of operation is specifically designed to take the information that has already been gathered and manipulate it according to set variables or conditions.

After data retrieval, the Data operation allows for adjustments or refinements to be made to the information collected, ensuring that it meets the criteria defined for further processing or analysis. This could involve transforming the data into a more usable format, aggregating values, or applying specific rules to modify the data accordingly.

The other operations serve different purposes; for instance, Query operations focus on the extraction of data from a specified source based on defined parameters but do not involve any post-retrieval editing. Parse operations are concerned with interpreting the structure of the incoming data, breaking it down into manageable parts but also do not modify data after retrieval, while Action operations typically refer to executing certain tasks or functions based on the outcome of operations rather than editing variables. Hence, the designation of "Data" as the operation that deals with editing variables after data has been retrieved is indeed fitting.