Question: An example of human error ( and / or data mistakes ) that had a material impact on the quality of a data analytics output

An example of human error (and/or data mistakes) that had a material impact on the quality of a data analytics output / interpretation . Draw from career experience or a real world example outside your employer (of which there are many). Could this situation have been prevented ? Site a source if you use an example outside your career experience.

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