CSV Pivot Table Generator

A pivot table summarizes a long, row-per-record dataset into a compact grid: pick one column to become row labels, another to become column headers, and a numeric column to aggregate into each cell. It's the same idea behind a spreadsheet's "PivotTable" feature — cross-tabulating raw data so patterns (totals by region and product, counts by status and month, averages by team and quarter) jump out at a glance instead of staying buried in hundreds of rows.

This tool does that directly from pasted CSV text, entirely in your browser — paste data, name three columns, pick an aggregation, and get a pivoted table back.

When it's useful

• Sales and orders — total revenue or units by region and product, by rep and month, or by channel and category.
• Logs and events — count occurrences by status code and endpoint, or by error type and day.
• Survey or form exports — average a rating column by cohort and question.
• Quick sanity checks — before building a full spreadsheet pivot, see the shape of your data in seconds.

How to use it

1. Paste CSV data into the CSV Data box. The first line must be a header row — those header names are what you'll reference in the next three fields.
2. In Row Field, type the exact header name whose distinct values should become the pivot table's row labels (e.g. Region).
3. In Column Field, type the header name whose distinct values should become column headers (e.g. Product).
4. In Value Field, type the header name of the numeric column to aggregate into each cell (e.g. Units or Revenue).
5. Pick an Aggregation: Sum, Count, Average, Min, or Max.
6. The pivot table updates automatically. Copy it or download it as CSV.

Row and column labels are sorted alphabetically. A (row, column) combination with no matching data shows 0 for Sum/Count (there's nothing to add or tally) or a blank cell for Average/Min/Max (there's no meaningful average of zero numbers).

FAQ

Why do I type field names instead of picking them from a dropdown? The tool reads your header row live, so any column name you type is matched against it exactly (case-sensitive). If a name doesn't match, the output tells you which field(s) weren't found rather than silently producing an empty table.

What happens with non-numeric values in the Value Field? For Sum, Average, Min, and Max, non-numeric or blank cells are skipped when computing the aggregate. For Count, every non-blank cell in the group is counted regardless of whether it's numeric — useful for counting occurrences rather than summing a quantity.

Does it handle quoted CSV fields with embedded commas? Yes — the parser is quote-aware: a field wrapped in "double quotes" can contain commas, and a literal quote inside a field is written as "" per the CSV standard (RFC 4180).

Can I pivot on more than one row or column field? Not currently — this tool cross-tabulates exactly one row field against one column field. For multi-level grouping, run the output back through the tool with a combined column, or use a spreadsheet.

Is my data uploaded anywhere? No. Parsing, grouping, and aggregation all run locally in your browser — your CSV data never leaves your device.