Free CSV Pivot Table Generator

The CSV Pivot Table Generator is a free online tool that create pivot tables from csv data with sum, count, average, min, and max aggregations. It runs entirely in your browser with no installation or sign-up needed.

Sum, count, average, minimum, and maximum.

Yes — export the pivot table as CSV.

Yes, completely free.

Absolutely. The CSV Pivot Table Generator processes everything client-side in your browser. No data is uploaded to or stored on any server. Your content remains private on your device at all times.

Yes, the CSV Pivot Table Generator is fully responsive and works on smartphones and tablets. You can use it on any device with a modern web browser -- no app download required.

No account or registration is needed. Simply open the CSV Pivot Table Generator in your browser and start using it immediately. There are no sign-up walls or usage restrictions.

Simply enter your input in the provided field, adjust any settings to your preference, and the tool will process it instantly. You can then copy the result to your clipboard or download it.

The CSV Pivot Table Generator works in all modern browsers including Chrome, Firefox, Safari, Edge, and Opera. For the best experience, use the latest version of your preferred browser.

These are the three choices that define your cross-tab. The row dimension is the field whose unique values become the rows down the left side, the column dimension is the field whose values spread across the top as columns, and the value field is the numeric column that gets summarized inside each cell. For a sales export you might set region as rows, quarter as columns, and sales as the value, producing a grid that shows total sales per region per quarter. The row and column fields are categories you want to group by, while the value field is the number you want to measure. In this tool, each picker is a dropdown populated from your CSV header row, and changing any one recalculates the grid instantly. Load your CSV above and try a few combinations to see which layout answers your question.

An em dash (—) means there was no matching numeric data for that combination of row value and column value, which is different from a real result of zero. If no record in your CSV pairs a given region with a given quarter, that cell stays empty rather than showing 0, because a fabricated zero would distort sums, averages, and min/max readings. The tool also skips non-numeric or blank entries in the value field, so a group made up entirely of text or empty cells reduces to an em dash too. This keeps your totals honest: an average is taken only over the values that actually exist, not padded with phantom zeros. If you genuinely want zeros, make sure those rows are present and numeric in your source file before pivoting it here.

The generator adds a Total column on the right, a Total row along the bottom, and a grand total in the corner so you get both the detail and the rollup in one view. For sum, average, min, and max, the margins apply that same function across the whole row or column — so an average pivot shows the average of each row's values in the Total cell, not a sum of averages. Count behaves differently: because summing counts is what you usually want, the margins add the underlying record counts together so the totals stay meaningful rather than counting the cells themselves. This means a count pivot's grand total equals the number of qualifying records in your data. Pick your aggregation above and the totals adjust automatically, then download the result with the margins included.

Results display as whole numbers when the aggregated value is an integer and are rounded to two decimal places otherwise, so a sum of units stays clean while an average like 1316.67 keeps useful precision without a long decimal tail. Row and column labels are not sorted alphabetically or numerically; instead each unique value appears in the order it first shows up in your CSV. That means the layout mirrors how your file is already arranged, which is handy when your data is pre-sorted by date or priority. If you want a specific order, sort the rows in your source spreadsheet before pasting or uploading. The same two-decimal formatting is preserved in the exported pivot.csv, so what you see in the grid is what opens in Excel or Google Sheets. Load your data above to generate the table.

Yes. The parser understands standard CSV quoting, so a field wrapped in double quotes that contains commas — like a product name or address — is read as a single value rather than being split at every comma. Escaped quotes inside a quoted field, written as two double quotes in a row, are also handled correctly. The first row is always treated as the header, and those names become the options in the row, column, and value dropdowns. You can supply data three ways: paste the CSV text directly, upload a .csv file from your computer, or click Load Sample to start from a worked example. Because parsing and pivoting happen locally in your browser, even a large export stays on your device. Drop your file in above and the headers populate automatically for you to configure.