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data_cleaning_workflow.md

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Data cleaning workflow

  1. Inspection: Identify erroneous and incorrect data.
  2. Cleaning: Diagnose bad data and fix or remove it.
  3. Verifying: Check the data quality metrics to see if cleaning is working.
  4. Reporting: Store the results and monitor the data quality metrics over time.

Inspection

WIP

Cleaning

WIP

Verifying

WIP

Reporting

WIP