diff --git a/scripts/audit_annotations.yml b/scripts/audit_annotations.yml index c523de8..d6d7f79 100644 --- a/scripts/audit_annotations.yml +++ b/scripts/audit_annotations.yml @@ -18,6 +18,16 @@ # toy invented in-lecture teaching table datasets: + NEWQDATA.csv: + description: Cogley–Sargent quarterly US data (inflation, unemployment, T-bill), 1948Q2–2000Q4 + provenance: verbatim + flags: [new-since-2026-07-15] + note: > + added by lecture-python.myst#1001; the lecture cites it as + CogleySargent2005's dataset and no builder is committed beside it. + A migration candidate — it is read from lecture-python.myst main by raw + URL, and the lecture documents every transformation and rebuilds the + post-2000Q4 continuation from FRED SCF_plus_mini.csv: description: SCF+ wealth/income survey extract provenance: constructed-committed @@ -136,11 +146,6 @@ datasets: test_pwt.csv: description: Penn World Table 7.0 extract provenance: author-assembled - us_adult_heights.csv: - description: Heights of US adults, from NHANES (prob_dist motivating example) - provenance: constructed-lost - flags: [new-since-2026-07-15] - note: added by lecture-python-intro#790; NHANES-derived, extraction not scripted usa-gini-nwealth-tincome-lincome.csv: description: US Gini coefficients, wealth & income (long series) provenance: constructed-committed @@ -187,9 +192,35 @@ api: lecture-python-programming:pandas:fredgraph.csv URL: series: UNRATE pedagogy: lesson + lecture-python-programming:polars:yfinance: + series: 11-ticker exercise list + pedagogy: lesson + note: mirror of pandas' yfinance exercise, rewritten with pl.DataFrame + lecture-python-programming:polars:fredgraph.csv URL: + series: UNRATE + pedagogy: lesson + note: mirror of pandas' FRED section — the lesson is pl.read_csv from a URL lecture-python.myst:kesten_processes:yfinance: series: ^IXIC pedagogy: incidental + lecture-python.myst:phillips_drifts_volatilities:fredgraph.csv URL: + series: CPIAUCSL, UNRATE, TB3MS + pedagogy: incidental + note: > + splices post-2000Q4 observations onto the Cogley-Sargent sample + (NEWQDATA.csv) to test whether the extra quarter-century changes the + findings. Snapshot-ready, but a snapshot would need periodic refresh — + the section's point is the *latest* vintage + lecture-python.myst:phillips_lost_conquest:pandas_datareader: + series: PCEPI, GDPC1, GDPPOT, FEDFUNDS + pedagogy: incidental + lecture-python.myst:phillips_two_stories:pandas_datareader: + series: CPIAUCNS, LNS14000028 + pedagogy: incidental + note: LNS14000028 is the unemployment rate for white men 20+ + lecture-python.myst:sargent_surico:pandas_datareader: + series: M2SL, GDPDEF, GDPC1, TB3MS + pedagogy: incidental lecture-python.myst:unemployment_linear:pandas_datareader: series: UNRATE pedagogy: incidental