[quote TheSunIsStillShining]@PatriciaHolm
are you sure we're talking about the same thing here? My data aggregation is per date: tests conducted and specimen date.
So your above sentence doesn't make sense to me.
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I see; sorry, can't see the graph that well!
But my point remains still; number of tests reported as results of X date do not correlate with specimen dates for X date. Tests for X date relate to specimen dates for a least one day before (which explains the big 21% spike in your table earlier).
If you are comparing, say, a Monday's tests reported vs the same days' specimen date results, you are likely to see a spike, as the tests relate to specimen dates from the Sat/Sun. Look back at tests numbers for Nov/Dec - you will see that the lowest number each week is actually the Monday, which relates to tests with a specimen date from Sat and Sunday. Which means you get a spike if you try to compare tests from the Monday to specimen dates for the Monday.
This week, especially, trying to match tests reported vs specimen date is going to lead to swings, given reporting delays and people's odd behaviour re testing!