Big-O complexity for n + n-1 + n-2 + n-3 + (…) + 1

The famous mathematician Gauss is said to have found a formula for that exact problem when he was in primary school. And as mentioned by @Henry in the comments it is:
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Source: Wikipedia (DE), Wikipedia (EN)

As work is done for every entry, i.e., O(1) is required for each “item”. Hence, the problem is in O(n^2).

Visualisation (also Wikipedia) can be seen as a half filled square:
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