CSV Missing Values Counter

Count empty, null, and NaN values across each column in CSV or TSV datasets.

How It Works & Processing Standards

Count empty, null, and NaN values across each column in CSV or TSV datasets.

Your input data is never sent to any server and is securely processed on your device.

Current Limits

  • Desktop max file size: 50MB
  • Mobile max file size: 20MB

CSV Missing Values Counter is a 100% free, browser-based online utility. All calculations and file conversions run locally inside your browser (Local-First) without sending data to remote servers, keeping your documents and inputs strictly private.

How to Use CSV Missing Values Counter

  1. 1
    Paste CSVPaste your tabular dataset.
  2. 2
    Analyze NullsCount blank, null, and NaN occurrences per column.
  3. 3
    Review ReportView summary table with missing counts and percentage ratios.

Examples

Missing Values Report
Input: name,phone,email Alice,,alice@example.com Bob,123456, Carol,,carol@example.com
Result: Missing Summary: name: 0 (0%) phone: 2 (66.7%) email: 1 (33.3%)

Common Use Cases

  • Auditing data completeness before running statistical analysis
  • Identifying columns that require data imputation in data science pipelines
  • Verifying required field compliance in user profile datasets

Frequently Asked Questions (FAQ)

Which strings are recognized as missing values?

Empty strings, whitespace, "null", "NULL", "NA", "N/A", and "NaN" are counted as missing.

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