I'm looking for public datasets that have a sort of "discontinuity" in them. Ideally, this discontinuity should be Coronavirus, and we should see a change in the distribution of the data after this discontiuity.

Any references would be greatly appreciated!

  • can you define discontinuity please? ideally provide an example? – albert May 23 at 18:26
  • 1
    Sure: that the distribution of the data changes. More formally, that you can train a random forest model so that it detects whether the data belongs to pre or post coronavirus successfully – Guillermo Mosse May 24 at 10:55

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