Which term best describes the practice of interpreting trends from datasets?

Statistical analysis refers to the practice of collecting, reviewing, and interpreting data to uncover patterns or trends. It involves using mathematical theories and methodologies to analyze data and derive meaningful insights. In the context of interpreting trends from datasets, statistical analysis provides the tools necessary to understand relationships, correlations, and variances within the data. This allows analysts to make informed conclusions and predictions based on empirical evidence.

Data mining focuses on discovering patterns and knowledge from large amounts of data, which is somewhat related to statistical analysis but emphasizes the use of algorithms and machine learning techniques to extract information. While data visualization deals with presenting data through graphical representations to help convey information more clearly, and cohort analysis involves studying specific groups within a dataset over time, these practices serve different purposes. Although they may complement statistical analysis, they do not primarily focus on the interpretation of trends in the way that statistical analysis does.