Final answer:
Data manipulation is a body of governing procedures used to organize or manipulate data to make it suitable for a given task. These procedures ensure data accuracy, consistency, and desired format.
Step-by-step explanation:
Data manipulation is a body of governing procedures, such as guidelines or rules, which are used to organize or manipulate data to make it suitable for a given task. These procedures help to ensure that the data is accurate, consistent, and in the desired format for analysis or processing.
For example, in computer programming, data manipulation involves using functions or operations to modify or transform data. This could include tasks like sorting, filtering, aggregating, or joining data sets. These procedures are essential in tasks such as data cleaning, data preprocessing, and data analysis.
Overall, data manipulation is crucial in various fields, including computer science, data science, business analytics, and any industry that relies on data-driven decision-making.