Pivot CSV for Reporting
Create a cross-tabulation of CSV data with aggregated metrics.
Use case
Use this to reshape flat CSV data into summary reports with rows, columns, and calculated aggregates.
What to expect
Follow the steps from left to right for a quick overview, then use the inline stepper below to run each tool.
Create a cross-tabulation of CSV data with aggregated metrics.
CSV Pivot
CSV → CSV
Create pivot table
Cross-tabulated CSV with aggregated values.
Workflow steps
Workflow shortcut
Next unlocked step: Step 1 · CSV Pivot
CSV Pivot
Create a cross-tabulation (pivot table) from flat CSV data. Specify row key, column key, aggregation field, and function (count, sum, mean).
Pivot input (JSON envelope)
Provide { "csv": "...", "rowKey": "field", "colKey": "field", "value": "field", "agg": "count|sum|mean" }.
Pivot table (CSV)
Cross-tabulated CSV with aggregated values.
Run this step to process the current input and prepare the next workflow stage.