While examining the Data pane, you need to decide whether to treat a field as a dimension or a measure. Which statement accurately describes how Tableau differentiates the two when you drag them into a new blank worksheet?
Measures can only be string or Boolean fields, while dimensions must always be numeric.
Dimensions are displayed as blue pills and are aggregated using SUM by default.
Dimensions are categorical fields that are added without aggregation, whereas measures are aggregated (for example, SUM) until you specify otherwise.
Measures generate discrete headers by default, while dimensions generate continuous axes.
Tableau classifies fields based on how they are intended to behave in a view. Dimensions are categorical descriptors such as names, dates, or IDs. When placed on a shelf they are passed to the view exactly as stored, creating slices that segment the data-no aggregation is applied. Measures, in contrast, are quantitative fields. Tableau automatically applies an aggregation (by default SUM) to a measure the moment it is added to the view, producing a single numeric result for each dimensional combination. The incorrect options either reverse these behaviors, claim that colors (blue/green) necessarily imply aggregation, or suggest that field data types dictate the role, which is not true.
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What does Tableau mean by 'aggregation' for measures?
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How can I change a dimension into a measure or vice versa in Tableau?
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What is the significance of blue and green pills in Tableau?
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Why does Tableau apply aggregation to measures by default?
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What do Tableau's blue and green pills represent?
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Can a field's data type affect whether it is treated as a dimension or a measure?
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Tableau Desktop Foundations
Understanding Tableau Concepts
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