Data manipulation refers to the process of adjusting, organizing, or transforming data to make it more useful or easier to analyze. This can involve tasks such as sorting, filtering, or aggregating data to extract meaningful insights. Data manipulation is commonly used in various fields, including business, science, and technology, to improve decision-making and efficiency. Techniques for data manipulation can be performed using software tools like Excel, SQL, or programming languages such as Python and R. These tools allow users to handle large datasets effectively, enabling them to visualize trends, identify patterns, and derive conclusions that support their objectives.