Description: The term ‘duplicate’ refers to a value that appears more than once in a dataset. In the context of data analysis, duplicates can have a significant impact on results. Identifying and managing duplicates is crucial to ensure the accuracy of reports and analyses, as repeated values can distort metrics and outcomes. Specific functions can be used in various programming and analytical tools to detect and handle duplicates, allowing data analysts to clean their datasets and gain more accurate insights. The relevance of duplicates lies in their ability to affect data integrity, which in turn influences data-driven decision-making. Therefore, understanding how duplicates work and how they can be managed is essential for any professional working with data analysis.
