Description: The ‘duplicated’ method is a function used in data analysis, especially in libraries like pandas in Python. This method returns a boolean Series indicating whether each row in a DataFrame is a duplicate of a previous row. It is an essential tool for data cleaning, as it helps identify and manage repeated records that can distort analyses and results. When applying ‘duplicated’, users can specify whether they want to consider all columns or just a subset of them to determine duplication. This method is particularly useful in large datasets, where manual detection of duplicates would be impractical. Additionally, it allows data analysts to make informed decisions about the removal or retention of records, thus facilitating more accurate and efficient analysis. In summary, ‘duplicated’ is a key method in data manipulation that helps maintain the integrity and quality of information in data analysis projects.
