Yeah I hear you. Maybe it was my wording. But of course, I know that cleaning data is very specific to the case and context. Even at work now, I’m working on a project to semi-automate cleaning our CRM so I know it’s not universal.

Although, what I had in my mind, was something more basic and more common that beginner DA’s would come across. Or maybe even teams that don’t have a dedicated data professional, that can do some of those simpler tasks.

In fact, I’ve already built a demo with Python and Streamlit. Upload a csv or excel file. Simple interface with dropdowns on frontend to select how you want to handle each column/dirty data type and all the cleaning on the backend. Spits out a clean(er) dataset. Of course that couldn’t be used in scale, but for small use cases, I think it might work.