What type of data is classified as measures in Tableau?

In Tableau, measures refer to quantitative data that can be aggregated, such as sales, profits, or quantities. These types of data are typically represented by numerical values that allow for various mathematical operations, like sum, average, or counting. This functionality enables users to perform analyses that reveal trends, patterns, and insights within the data.

For example, when you have a dataset with sales figures, you can sum these values to understand total sales over a specific period or analyze average sales per region. This aggregation capability is fundamental for generating meaningful visualizations and reports that inform decision-making.

Other choices relate to different data characteristics that do not fit the definition of measures. Categorical data, like names or categories, are classified as dimensions, while textual data lacks the numerical attributes needed for aggregation. Similarly, while aggregated data falls under the umbrella of measures, it does not encompass all measures since measures are about the underlying raw quantitative data used in aggregations.