Dominate Your Data with the 2026 Tableau Desktop Specialist Exam – Unleash Your Inner Analyst!

A discrete field is designed to hold distinct, separate values, typically used to categorize data into groups or categories. This means that a discrete field can include values that represent specific categories or groups, such as names, types, or classifications, which are often non-numeric.

For instance, if you have a field representing different types of fruits, that field would be considered discrete because it consists of distinct categories like "apples," "bananas," and "oranges." Each of these entries serves as a unique category, thereby fitting the definition of a discrete variable.

In contrast, the other options do not accurately capture the nature of discrete fields. Numeric values alone do not provide the complete picture since a discrete variable can also include non-numeric categories. Qualitative values are a part of discrete variables but do not encompass the full range of possibilities—discrete can also include numeric categories like countable integers (e.g. number of products sold) or grades (e.g. A, B, C). Lastly, variables representing any duration of time typically fall under continuous variables, which can take on any value within a range and are not confined to distinct categories. This further reinforces that the correct characterization of a discrete field encompasses values that distinctly categorize data.