Data interpretation refers to the process of analyzing and making sense of data in order to draw meaningful conclusions and make informed decisions. This involves identifying patterns, trends, and relationships within the data, as well as understanding the context in which the data was collected. Data interpretation is crucial in a wide range of fields, including scientific research, business intelligence, and social sciences, as it allows researchers and decision-makers to extract valuable insights and knowledge from large volumes of data. Techniques used in data interpretation include statistical analysis, data visualization, and machine learning algorithms.