Please respond to this tweet with any mistaken perceptions or practices you had when you first started out doing data science work that you can still remember, even though you're now experienced.
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I think part of this is just being young and inexperienced... I've seen lots of other people get hung up on perfection and wont listen when I try to guide them to relax a bit
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Oh definitely.
End of conversation
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Also, making decisions on incomplete data is where domain knowledge can be especially useful
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