Data sampling is the process of selecting a subset of data from a larger dataset to analyze and draw conclusions. This technique is often used in statistics to make inferences about a population without needing to examine every individual item. By studying a smaller, representative sample, researchers can save time and resources while still obtaining valuable insights. There are various methods of data sampling, including random sampling, stratified sampling, and systematic sampling. Each method has its own advantages and is chosen based on the specific goals of the research. Proper sampling ensures that the results are reliable and can be generalized to the larger population.