We aim for it to be walk-up usable or require minimal training by everyone on the enrollment. Upon initial load, a user will instantly understand the shape (row and column information) and cleanliness of their data. For example, quality flags such as extra white space or high null percentage will guide the user step by step to either fix or ignore these flags.
That said, people who only consume Notepad documents, for example, likely will not need to use Preparation. Some code repository processes, however, may be simplified through Preparation.
Yes. On the right side Change Log panel, scroll down to the very bottom and edit the starting dataset. If you want to apply the same logic to a different dataset but keep the original one, you can duplicate your preparation beforehand by selecting the small dropdown menu next to its name.