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@HelenCEBM also suggests summarizing numeric columns including and excluding missing values. This was based on her experience of using cohort-report, which may replace numpy.nan with zeros (check this!). When would a numeric column include a zero that wasn't a measured value?
In the dataset-report notebook, @robinyjpark summarizes numeric columns with a CDF (cumulative distribution function). Suggestions from @wjchulme in this Slack thread:
plt.step()
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