Waimao6

CSV Pivot

CSV Pivot. Use CSV Pivot on your input. Configure Table data, Column names / key columns (comma-separated), Group-by column and inspect the result before copying it.

Processed locally · Files stay on your device

Text and transformation

Runs in this browser
Example data · Edit directly

Result

Set the inputs and run the tool to view the result.

How to use CSV Pivot

  1. Review the populated example and the input units, then replace it with your data.
  2. Use CSV Pivot on your input. Configure Table data, Column names / key columns (comma-separated), Group-by column and inspect the result before copying it.
  3. Run the tool, inspect the result, then copy or download what you need.

Method and scope

Use CSV Pivot on your input. Configure Table data, Column names / key columns (comma-separated), Group-by column and inspect the result before copying it.

Preserves data, not Excel macros, formula evaluation or styling. The first row is a header; names must be nonempty and unique. CSV export guards text beginning with = + - @ against formula injection. Prefer files below 20 MB.

Input example

Table data: SKU,Name,Quantity,Price
A01,Glass cup,100,12.5
A02,"Cup,Blue",80,15
A01,Glass cup,100,12.5
Column names / key columns (comma-separated): Quantity
Group-by column: SKU

Questions and result checks

How does CSV Pivot determine the result?

Use CSV Pivot on your input. Configure Table data, Column names / key columns (comma-separated), Group-by column and inspect the result before copying it.

What should I check before processing?

Preserves data, not Excel macros, formula evaluation or styling. The first row is a header; names must be nonempty and unique. CSV export guards text beginning with = + - @ against formula injection. Prefer files below 20 MB.

How can I verify the output?

Use the supplied example as a check, then compare important results with the original source or business document.

Table data: SKU,Name,Quantity,Price
A01,Glass cup,100,12.5
A02,"Cup,Blue",80,15
A01,Glass cup,100,12.5
Column names / key columns (comma-separated): Quantity
Group-by column: SKU

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