What happens when transposing data with multiple data types in Alteryx?

When transposing data with multiple data types in Alteryx, the data is upcasted into the most robust data type. This means that during the transposition process, the system determines the most compatible data type that can encompass all the existing data types present in the dataset. For instance, if the dataset includes integers and strings, the integer values will be converted into strings so that all data can fit into a single uniform data type. This upcasting ensures that no data is lost during the transposition process, allowing for a smoother and more efficient handling of mixed data types.

This behavior is essential for preserving data integrity and compatibility within Alteryx workflows, as it allows for continued processing and analysis without encountering conflicts between different data types.