> In most cases, we want to discern between days first, them months, then years. If you look at a list of dates:
> 2021-01-01
> 2021-01-02
> 2021-01-03
> 2021-01-04
With you so far.
> You're just going to be seeing a heap of noise before you see the actual number you care about.
100% disagree. There's less noise here than having days from other months or years mixed in. If there's noise here then either I am on the wrong page and need to navigate to the correct year or else the data I want has few data points.
> If you consider that days are the most valuable, then months, then years, you get the UK/European format.
> 01/01/2021
> 02/01/2021
> 03/01/2021
> 04/01/2021
Maybe. Your list is contrived. Here's another.
01/01/2021
01/03/2021
01/04/2020
01/10/2021
01/11/2019
02/01/2021
02/13/2019
02/20/2021
Those numbered days are completely irrelevant to each other in most circumstances. Now other months and even other years are mixed in. Expand this list to 1000 data points and good luck figuring out where your data's at.
> 2021-01-01
> 2021-01-02
> 2021-01-03
> 2021-01-04
With you so far.
> You're just going to be seeing a heap of noise before you see the actual number you care about.
100% disagree. There's less noise here than having days from other months or years mixed in. If there's noise here then either I am on the wrong page and need to navigate to the correct year or else the data I want has few data points.
> If you consider that days are the most valuable, then months, then years, you get the UK/European format.
> 01/01/2021
> 02/01/2021
> 03/01/2021
> 04/01/2021
Maybe. Your list is contrived. Here's another.
01/01/2021
01/03/2021
01/04/2020
01/10/2021
01/11/2019
02/01/2021
02/13/2019
02/20/2021
Those numbered days are completely irrelevant to each other in most circumstances. Now other months and even other years are mixed in. Expand this list to 1000 data points and good luck figuring out where your data's at.