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UsefulDockCSV workspace
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FROM FILE TO VERIFIED RESULT

Prepare the rows and columns you need to hand off

Choose and rename CSV columns, filter records and sort with an explicit text or numeric rule. Continue working without reopening the file.

Free · No account
or drop files · 10 MB per file

Import settings apply only to files opened next; existing datasets stay unchanged. No-header files receive column_1, column_2, and so on while keeping the first record. Exports include those column names.

Arrange columns

Keep the columns you need, change their order and confirm names.

Interactive example · fictional data

Deliver only the columns you need

Example input · products.csv
skunamepricestock
00123Blue·mug12.5020
00456Red·cap8.008
00789Canvas·bag30.0015

Dots show spaces; ∅ means empty. Swipe tables to see all columns.

Ready to play

This small example does not change your open files.

Or open your own files. Data is processed in this browser.

See the result, then try it

Arrange columns

Interactive example · fictional data

Deliver only the columns you need

Example input · products.csv
skunamepricestock
00123Blue·mug12.5020
00456Red·cap8.008
00789Canvas·bag30.0015

Dots show spaces; ∅ means empty. Swipe tables to see all columns.

Ready to play

This small example does not change your open files.

Rules, limits and questions

A source export often contains more than the next task needs. These three independent exercises reuse one opened supplier file. Select the original input before each exercise and retain the results separately.

Your result: A smaller, clearly named table ready for review or another operation.

Steps

  1. Open supplier-before.csv once. Select that original input, then use Arrange columns to keep sku, name and stock. Preview and retain this separate column result.
  2. For the filtering exercise, select the original supplier-before.csv again in Current file or result. Filter name for text containing Hoodie, then preview and retain that result.
  3. Select the original supplier-before.csv again for sorting, so all three rows and the price column are available. Choose numeric price sorting in ascending order and preview it before retaining the result.

Download example CSVs

These files contain fictional data. You can also close help and choose “Try sample files” in the toolbar.

Expected example result

  • Selecting sku, name and stock produces 3 columns without changing the three SKU values.
  • Filtering name for Hoodie returns the 00456 record.
  • Numeric price sorting of the unmodified example orders 8.00, 12.50 and 30.00; text ordering follows a different rule.

Scope and limits

  • Numeric ordering is an explicit operation, not permission to coerce identifier values.
  • Column names must remain nonempty and unambiguous. This version does not edit individual cells or run spreadsheet formulas.

Questions

Can I filter after joining two files?

Yes. Keep the join result, select it as the current dataset, and continue with a filter or column operation in the same workspace.

Is changing a column's name the same as mapping two supplier files?

No. Renaming changes the output table. Compare and append also provide their own explicit alignment settings so the two inputs can remain unchanged.

Related tool instructions

Close help and use the workspace tools to continue with your current files. The links below open in a new tab.

Full cell value

Review input record

No files open. Refreshing clears the session.

Session limits: 8 source files, 30 MB combined input and 16 retained datasets. Output is limited to 250,000 rows and 2,000,000 cells.

Data stays in this page's memory. Original files are never overwritten. A download action starts the browser download; confirm the saved file yourself.