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Difference in Differences (DiD) is a statistical analysis that measures the change in the difference between the control and treatment groups over the course of pre and post-intervention periods. DiD is often applied on a dataset that is (1) aggregated at a group level (e.g. geography, market) and (2) tracked across a time horizon with daily, weekly, or monthly granularity. In general, you use D...