Pivot CSV Then Analyze

Create a pivot table from CSV, then profile the output columns.

Intermediate~4 mincsvtransformanalyze

Use case

Use this to generate summary tables and immediately inspect column characteristics.

Workflow overview2 steps0 / 2 completed~4 min

Follow the steps from left to right for a quick overview, then use the inline stepper below to run each tool.

Create a pivot table from CSV, then profile the output columns.

Current focusStep 1 · CSV Pivot

0% complete

Step 1csv-tools Waiting

CSV → CSV

Create pivot table

Cross-tabulated CSV with aggregated values.

Step 2csv-tools Waiting

CSV → JSON

Profile CSV columns

Review the result here before moving to the next step.

Run this workflow inline

Work through each tool step here. Running a step automatically prepares the next step with the correct handoff value.

Workflow shortcut

Next unlocked step: Step 1 · CSV Pivot

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Step 1Ready to runcsv-tools

Create a cross-tabulation (pivot table) from flat CSV data. Specify row key, column key, aggregation field, and function (count, sum, mean).

Provide { "csv": "...", "rowKey": "field", "colKey": "field", "value": "field", "agg": "count|sum|mean" }.

Cross-tabulated CSV with aggregated values.

Run this step to process the current input and prepare the next workflow stage.

Step 2Lockedcsv-tools

Profile CSV columns with inferred type, emptiness, uniqueness, top values, and numeric percentiles.

Complete the previous step first

This step unlocks automatically after all earlier workflow steps are completed successfully.

Provide csv input for this workflow step.

Review the result here before moving to the next step.

Run this step to process the current input and prepare the next workflow stage.