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Data Cleaner

Clean messy data in your browser — no uploads, no Python.

Cleaning operations

Operation What it does
Drop duplicates Remove exact duplicate rows
Drop nulls Remove rows with null values (all or selected columns)
Trim whitespace Strip leading/trailing whitespace from text columns
Fill nulls Replace null values with a specified default
Drop column Remove an entire column
Rename column Change a column's name
Cast type Convert column to a different data type

Workflow

  1. Drop a file (CSV, JSON, Parquet, TSV)
  2. Preview your data (first 100 rows)
  3. Select and apply cleaning operations
  4. See before/after row counts for each operation
  5. Export cleaned data as CSV, JSON, or Parquet