Dev Tools · 2h ago
Data Study Reveals Pitfalls in Open-Data Analysis with 14M French Business Records
A study of France's SIRENE business registry with 14.4 million establishments highlights common data analysis mistakes. The authors emphasize reconciling totals before rounding, documenting exclusions, and investigating surprising rankings. They caught errors like misclassifying workforce codes and identifying artifacts in sector rankings.
Meridian48 take
The piece is a practical guide for data scientists, but its lessons on data integrity are broadly applicable to any analysis involving large public datasets.
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Reconcile before you round: lessons from a 14M-row open data study →
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data-analysisopen-data