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# Data audit

file SHA-256 rows (excl. header) cols
data/DGS10.csv 8187f89ab6523b3c964255e1736cfcf0e2ca854ed9e50343e04f4dc2945c5cd7 (matches README) 5217 2
data/README.md provenance text only – –
  • Schema: observation_date (YYYY-MM-DD), DGS10 (percent, 2 decimals). Date range 2000-01-03 … 2019-12-31.
  • Duplicated dates: 0. Weekend dates: 0. Non-numeric non-empty values: 0.
  • Empty DGS10: 215 rows (US market holidays) → dropped per task rule (exclusions.csv step 1).
  • Yield range 1.37–6.79 %. Δy (bp): sd 5.72, min −51 (2009-03-18, FOMC QE announcement – genuine), max +25 (2001-11-15). No anomalies requiring removal.
  • Changes after a holiday span >1 weekday (155 changes with gap > 3 calendar days); kept per task rule, sensitivity reported.
  • Info-availability: single permitted input; no violations. Forecast weekday means use only changes dated ≤ 2009-12-31 (last train date 2009-12-31, first test date 2010-01-04).
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