When building a visualization in Tableau, what is the fundamental difference in how dimensions and measures affect the view when they are added to the Rows or Columns shelves?
Dimensions set the level of detail by creating headers, while measures are aggregated and typically create continuous axes.
Dimensions are used only to create filters for the view, while measures are used to create the main chart structure.
Measures set the level of detail by creating headers, while dimensions are aggregated and typically create continuous axes.
Dimensions are always text-based fields, and measures are always numerical fields.
In Tableau, dimensions and measures have distinct primary functions. Dimensions are qualitative fields that set the granularity or level of detail in a view; when placed on Rows or Columns, they create headers that categorize the data. Measures are quantitative fields that are aggregated by default (e.g., SUM, AVG); when placed on Rows or Columns, they typically create a continuous axis for the aggregated values.
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Tableau Desktop Foundations
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