Data Sampling

Data sampling is the process of selecting a subset of data from a larger population for analysis. This smaller group, or sample, is used to make inferences or predictions about the whole population. It’s like taking a taste from a pot of soup to determine its overall flavor. Sampling is important because it saves time and resources while still providing insights that are often representative of the entire set. Techniques vary, but the goal is to ensure that the sample is not biased and accurately reflects the characteristics of the larger group.