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In this tutorial, we explore the common task of removing duplicates from data, a frequent interview topic for data and financial analyst positions. The presenter will demonstrate three methods for eliminating duplicates, highlighting the advantages and disadvantages of each, as well as why different methods may yield varying results. The example provided features a table with sales agent, region, and sales value. It clarifies that duplicates are rows with identical values across specific columns. The goal is to retain only one instance of each duplicate entry while removing subsequent occurrences.
