Can I use Great Expectations to profile data and produce documentation and visuals without having to invoke all the functionality around expectations and validation results?

From a GE User:
I’m hoping to generate distribution visuals of a particular column as shown in the link below. Do I have to profile the data source first, or can I use the expect_column_kl_divergence_to_be_less_than expectation to visualize a histogram of counts for a column?

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@sam Do you mind chiming in with some thoughts on this question?