{
  "task_id": "F1-dev-01",
  "n_unique_firms": 400,
  "n_missing_revenue": 6,
  "n_analysed": 394,
  "mean_revenue_musd": 249.9620761421,
  "median_revenue_musd": 162.306,
  "mean_employees": 1101.435,
  "mean_revenue_raw": 30695.8823105023,
  "feasibility": "complete",
  "feasibility_reason": null,
  "data_issues": [
    {
      "issue": "45 exact duplicate rows (same firm_id and identical values); 0 conflicting duplicates",
      "handling": "kept first occurrence; one row per firm_id"
    },
    {
      "issue": "mixed revenue units: 60 distinct firms in USD_thousands, 340 in USD_millions",
      "handling": "converted all revenue to millions USD via the row-level unit column"
    },
    {
      "issue": "revenue empty on 7 raw rows = 6 distinct firms (F0048, F0121, F0129, F0269, F0348, F0399)",
      "handling": "excluded from revenue aggregates and analytic.csv; retained for n_unique_firms and mean_employees"
    }
  ],
  "n_input_rows": {
    "firms.csv": 445
  },
  "random_seed": null,
  "input_sha256": {
    "firms.csv": "78f119a92d7c11aebb8c238c69d62687a80d91031f1e8a30fb412b9e77e1625a"
  },
  "baseline_note": "mean_revenue_raw mixes USD_thousands and USD_millions and double-counts duplicates; not interpretable"
}