How I check duplicate IDs and missing cells in CSV with Python

📰 Dev.to · Kalamari0227

Learn to check duplicate IDs and missing cells in CSV files using Python's standard library

intermediate Published 17 Jul 2026
Action Steps
  1. Import the csv module in Python
  2. Read a CSV file using csv.reader
  3. Check for duplicate IDs by storing them in a set and checking for duplicates
  4. Check for missing cells by iterating over each row and checking for empty values
  5. Print or store the results of the quality check for further analysis
Who Needs to Know This

Data scientists and software engineers can benefit from this technique to ensure data quality and integrity in their projects

Key Insight

💡 Use a set to efficiently check for duplicate IDs in a CSV file

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📊 Use Python's csv module to check for duplicate IDs and missing cells in your CSV files! 💡

Key Takeaways

Learn to check duplicate IDs and missing cells in CSV files using Python's standard library

Full Article

A small standard-library CSV quality check with a reproducible synthetic example.
Read full article → ← Back to Reads

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