When you connect to data in Tableau, certain columns are automatically classified as dimensions. Which description accurately reflects the kind of information these dimension fields usually contain?
Qualitative categorical values such as customer names, product categories, or dates that slice numeric results.
Quantitative continuous numbers like sales or profit that can be summed by default.
Pre-aggregated totals that Tableau never recalculates regardless of view context.
Binary logic indicators that Tableau treats as booleans for calculations.
Dimensions normally store qualitative or categorical information-values that identify what you are measuring rather than how much. Examples include region names, product categories, customer IDs, or calendar dates. These values segment or slice the data and are not aggregated by default. In contrast, measures hold quantitative, continuous numbers such as Sales or Profit that Tableau aggregates automatically. Boolean indicators can be dimensions, but they are not the defining characteristic, and pre-aggregated totals are unrelated to the dimension role.
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What is the difference between dimensions and measures in Tableau?
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Can dates be classified as dimensions and why?
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How does Tableau treat boolean logic fields (True/False) in terms of dimensions and measures?
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Tableau Desktop Foundations
Understanding Tableau Concepts
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