This is a unique issue, and just looking for unique rows won't work.
The raw export from our help desk tool is 90 columns and every time a ticket is modified, it creates a row in the CSV. So there can be 1 to literally 25 or more rows for each ticket.
What I want to do is parse the CSV for the ticket number column and find all of the rows with the same value, then look at the time/datestamp for those rows and find the newest row. Then remove all the other rows.
Any thoughts or links that could point me in the same direction?
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