data manipulation

Data manipulation refers to the process of organizing, transforming, and analyzing data to extract useful information or insights. It typically involves cleaning the data to remove errors, arranging it into a more understandable format, and applying techniques to summarize or visualize it. For example, a business might analyze sales data to identify trends or patterns, helping decision-makers understand customer behavior. While data manipulation can provide valuable insights, it’s important to handle data ethically and accurately to maintain its integrity and reliability.