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  3. CSV Data Transformer
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CSV Data Transformer Overview

Apply column-level transformations to your CSV data using a formula-like syntax. Trim whitespace, change case, format dates, extract substrings, perform arithmetic on numeric columns, or create new computed columns — all without writing a script.

Step by Step

  1. 1Upload your CSV
  2. 2Select a column and choose a transformation from the menu
  3. 3Configure parameters (e.g., date format, substring range)
  4. 4Preview the transformation on sample rows
  5. 5Apply to all rows and download the result

Feature Highlights

  • String operations: trim, upper, lower, replace, substring, concat
  • Numeric operations: round, floor, ceil, abs, arithmetic
  • Date parsing and formatting across formats
  • Conditional transformations (if/else)
  • New computed column creation
  • Chained multi-step transformations
  • Live preview on sample data

Tips & Best Practices

  • Chain transformations top-to-bottom — each step feeds into the next.
  • Use the preview to check edge cases (empty cells, unexpected formats) before applying to all rows.

The Details

Each transformation is defined per column using an expression builder. Supported operations include string functions (trim, upper, lower, replace, substring, split, concat), numeric functions (round, floor, ceil, abs, basic arithmetic), date functions (parse, format, add days, difference), and conditional logic (if-else based on value tests). You can chain multiple transformations on the same column and create entirely new columns from expressions referencing existing ones.

A live preview updates as you build transformations so you can verify results before applying them to the full dataset.

Popular Scenarios

  • Data normalization

    Standardize inconsistent formatting — trim spaces, unify date formats, normalize case — across an entire column.

  • Computed columns

    Add a "Total" column that multiplies Quantity by Price, or a "Full Name" column that concatenates First and Last.

  • Date reformatting

    Convert dates from MM/DD/YYYY to ISO 8601 format (YYYY-MM-DD) for database import.

  • Data masking

    Replace sensitive column values with masked versions (e.g., show only last 4 digits of a phone number).

Frequently Asked Questions

Can I reference other columns in an expression?

Yes. Use column names in expressions to create computed values — for example, {Quantity} * {Price} for a total column.

Is there an undo if I make a mistake?

Transformations are previewed before applying. You can also re-upload the original file to start over.

What date formats are supported?

The tool recognizes ISO 8601, US (MM/DD/YYYY), European (DD/MM/YYYY), and several other common formats. You can specify a custom format string if needed.

Privacy First

All processing happens directly in your browser. Your files never leave your device and are never uploaded to any server.