In a pivot table showing satisfaction by gender, which is the most likely field in the 'Values' area?

Question

BlackTom AI · Accepted Answer

When designing a pivot table to summarize satisfaction by gender, consider what kind of data goes into the Values area versus the Rows or Columns areas.
Option 1: Average Satisfaction Score. This makes sense for the Values area because it represents a numeric measure (satisfaction score) that can be aggregated—specifically averaged—across the categories defined in the Rows or Columns (here, gender).
Option 2: Respondent ID. This is an identifier and not something you would typically aggregate in Values to produce a meaningful summary. If placed in Values, you might get counts or sums that don’t convey a useful summary of satisfaction.
Option 3: Gender. Gender is a categorical variable that is best used in the Rows or Columns area to define the groups you want to compare, not in Values where aggregation happens.
Option 4: Question Text. This is a textual field describing each survey item and is not something you would aggregate numerically in Values to summarize satisfaction.
In summary, the most sensible choice for the Values area is a numeric measure that can be averaged to reflect overall satisfaction across gender categories, which aligns with Option 1: Average Satisfaction Score. The other options either represent identifiers, categorical grouping, or text data that aren’t suited for numeric aggregation in the Values area.

In a pivot table showing satisfaction by gender, which is the most likely field in the 'Values' area?

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