Smalyshev added a comment. |
Perhaps leave it for the data consumer to figure out for him/her/itself that May 4th in 200000BC is silly
It is an option, and here we have a tradeoff, of either:
A. Try to represent the wrong data in a way that they would be useful, preserving the useful part and dropping the bad part, or
B. Don't try to fix the data and present it as is, broken if it so happens
Depending on your goals, you may want either of them, or maybe both - i.e. have both original and normalized values. We may try doing that too.
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