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. It is commonly used in various fields, including business, research, and data science. Techniques for Data Manipulation often involve programming languages like Python or R, as well as software tools like Excel or SQL. By manipulating data effectively, individuals and organizations can make informed decisions, identify trends, and improve overall efficiency in their operations.