Genuine question, because I'm interested in the applicability of a tool like this -- do professional ML scientists/developers have a need for visualizing their

Genuine question, because I'm interested in the applicability of a tool like this -- do professional ML scientists/developers have a need for visualizing their model during development, or would use such a tool? Do their models have parameters and need tuning such that visualization is a key problem? Or is this kind of a nice to see thing for beginners, but more advanced/this-is-my-job ML professionals rarely are interacting with the data and model in this way? They're dumping tables, using numerical stats, not looking for visual patterns? Perhaps a similar kind of question as "who uses drag-and-drop SAS analysis, rather than Python"? Or, "there are no casual DNN builders" -- anyone who is doing this kind of work will be doing it at the level that they're not needing visualization? Clearly, SAS has enough visual-based casual users who can't program, so there's a market for it. I am legit interested to know, thanks!