Where's the duplicate?

Removing duplicates from a dataset is crucial for ensuring the accuracy and reliability of data analysis, as it prevents skewed results and maintains the integrity of the dataset.

The finance department at DC High School keeps track of the school supply purchases that are made. Looking at one of the data outputs, you notice something is wrong. Review the table below and identify which rows are duplicates using the numbers in the grey labels.