Improves distribution of dummy data #2326
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This improves the distribution of dummy data through the strategy of oversampling: We produce a larger population of patients than requested, and then sample down to a subset of it according to some weighted distribution of values.
This weighting scheme is calculated in two ways:
It's also a good place to insert heuristics we might want to add (e.g. we could add default age and sex distributions, we could choose what proportion of nullable columns should be null, etc). This doesn't do any of that.
It does come with the cost of making dummy data slower. I think this is an OK tradeoff, and will be improved by anything that improves dummy data generation (in particular future work on making constraints satisfied more often)