Which technique involves displaying data visually to reveal trends or patterns?

The technique that involves displaying data visually to reveal trends or patterns is data visualization. This approach allows complex datasets to be transformed into more understandable formats, such as charts, graphs, and maps, which can highlight relationships, trends, and patterns in the data that might be less obvious when reviewing raw numbers or statistical outputs.

Data visualization is critical in making data more accessible and comprehensible, often enabling quicker decision-making and deeper insights. For instance, by representing data points on a line graph, a user can easily see upward or downward trends over time, which may guide their analytical conclusions or business strategies.

In contrast, data mining primarily focuses on discovering useful patterns and relationships within large datasets, whereas statistical analysis involves using mathematical techniques to summarize data features or test hypotheses without necessarily visualizing them. Data interpretation refers to the process of making sense of the data after analysis, which may or may not involve visual representation. Therefore, the correct answer highlights the unique role of visualization in the data analysis process.