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df originally has 2610 rows and 333 duplicates (666 when keep=False)
The given method to Remove Duplicates: df = df[df.duplicated()]
is actually modifying df to only retain the duplicates and drop everything else
The correct method should be df = df.drop_duplicates() or df.drop_duplicates(inplace=True)
The resulting df now has 2277 rows (333 less rather than 333 total)
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