Raw Data Table vs. Pivot Table

Dashboard Extension (former Professional Analytics license) provides two table types: raw data tables and pivot tables.

Choose the table type based on whether you want to view individual interviews or summarize data from multiple interviews.

Raw data table

A raw data table displays the values of individual interviews. It is similar to a raw data export.

Each row represents one included interview. Each column represents a selected variable.

Use a raw data table to:

  • View answers or other data from individual interviews.
  • Choose which variables appear in the table.
  • Apply custom filters to control which interviews are included.

You only define the columns. The table creates the rows from the interviews included by your filters.

Pivot table

A pivot table summarizes or calculates data from multiple interviews.

In a pivot table, you define both the columns and the rows:

  • Columns usually contain calculated values, such as interview counts or percentage distributions.
  • Rows usually contain categories, such as the answer options of a question.

Use a pivot table to:

  • Count interviews.
  • Calculate percentage distributions.
  • Compare variables.
  • Analyze data by segment.
Updated on August 20, 2026
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