CSV Data Profiler
Know what is really in a CSV before you analyse it - every column profiled and every quality problem (duplicates, shifted rows, mixed types, outliers, personal data) shown with evidence.
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CSV Data Profiler
A factual first look at any CSV/TSV before you analyse it. One local Python script (standard library only) profiles every column - type, missing %, distinct values, min/median/mean/max, date range, top values - finds strong numeric correlations and flags data-quality problems with evidence: duplicate and ragged rows, mixed types, outliers, untrimmed spaces, case variants, empty/constant columns, repeated IDs, future dates and personal-data columns.
python3 scripts/data_profile.py --csv sales.csv --format md --out profile.md
Tests: python3 -m pytest -q tests. Real-world validation: Titanic, Palmer penguins, seaborn tips and Plotly 2014 AAPL datasets (known facts reproduced: Titanic Cabin 687/891 missing, tips has 1 duplicate row).
Support: [email protected] - bug fixes for 90 days. License: MIT (see LICENSE).
