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41 changes: 36 additions & 5 deletions scripts/audit_annotations.yml
Original file line number Diff line number Diff line change
Expand Up @@ -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
Expand Down Expand Up @@ -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
Expand Down Expand Up @@ -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
Expand Down
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