diff --git a/CATALOG.md b/CATALOG.md index 7cc3586..5bb399a 100644 --- a/CATALOG.md +++ b/CATALOG.md @@ -10,15 +10,15 @@ The migrated-dataset registry, **auto-generated** from the sidecar manifests (`l | Dataset | Class | Source | Licence | Redist. | Integrity | Builder | Size | Used by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | -| [**ames_house_prices.csv**](https://github.com/QuantEcon/data-lectures/raw/main/lectures/ames_house_prices.csv)
Ames, Iowa — residential house sales, 2006-2010 | constructed | [Ames Housing data (De Cock 2011), Journal of Statistics Education](http://jse.amstat.org/v19n3/decock.pdf) | | ✅ permitted | ✅ verified | ✅ committed | 75.2 KB | [lecture-python-intro · observed_distributions.md](https://github.com/QuantEcon/lecture-python-intro/blob/main/lectures/observed_distributions.md) | +| [**ames_house_prices.csv**](https://github.com/QuantEcon/data-lectures/raw/main/lectures/ames_house_prices.csv)
Ames, Iowa — residential house sales, 2006-2010 | constructed | [Ames Housing data (De Cock 2011), Journal of Statistics Education](http://jse.amstat.org/v19n3/decock.pdf) | | ✅ permitted | ✅ verified | ✅ committed | 75.2 KB | [lecture-python-intro · observed_distributions.md](https://github.com/QuantEcon/lecture-python-intro/blob/main/lectures/observed_distributions.md)
[lecture-python-intro · fitting_distributions.md](https://github.com/QuantEcon/lecture-python-intro/blob/main/lectures/fitting_distributions.md) | | [**countries.csv**](https://github.com/QuantEcon/data-lectures/raw/main/lectures/countries.csv)
WorldData.info country reference table | verbatim | [WorldData.info — country data downloads](https://www.worlddata.info/downloads/) | Proprietary — © WorldData.info, all rights reserved | ⚠️ restricted | ⚠️ unverifiable | n/a (verbatim) | 48.4 KB | [lecture-python-programming · pandas_panel.md](https://github.com/QuantEcon/lecture-python-programming/blob/main/lectures/pandas_panel.md)
[lecture-python.myst · pandas_panel.md](https://github.com/QuantEcon/lecture-python.myst/blob/main/lectures/pandas_panel.md) | | [**employ.csv**](https://github.com/QuantEcon/data-lectures/raw/main/lectures/employ.csv)
Eurostat employment in Europe — by age and sex, 2007–2016 | constructed | [Eurostat — Employment database](https://ec.europa.eu/eurostat/data/database) | Eurostat reuse (Commission Decision 2011/833/EU) | ✅ permitted | ⚠️ unverifiable | ⚠️ unrecovered | 1.6 MB | [lecture-python-programming · pandas_panel.md](https://github.com/QuantEcon/lecture-python-programming/blob/main/lectures/pandas_panel.md)
[lecture-python.myst · pandas_panel.md](https://github.com/QuantEcon/lecture-python.myst/blob/main/lectures/pandas_panel.md) | -| [**epl_match_goals.csv**](https://github.com/QuantEcon/data-lectures/raw/main/lectures/epl_match_goals.csv)
English Premier League — full-time scores, 2015-16 to 2024-25 | constructed | [openfootball / football.json](https://github.com/openfootball/football.json) | Public domain | ✅ permitted | ✅ verified | ✅ committed | 203.2 KB | — | -| [**japan_deaths_by_age.csv**](https://github.com/QuantEcon/data-lectures/raw/main/lectures/japan_deaths_by_age.csv)
Japan — deaths by single year of age, 2023 | constructed | [United Nations, Department of Economic and Social Affairs, Population Division — World Population Prospects 2024](https://population.un.org/wpp/downloads) | CC BY 3.0 IGO | ✅ permitted | ✅ verified | ✅ committed | 1.7 KB | [lecture-python-intro · observed_distributions.md](https://github.com/QuantEcon/lecture-python-intro/blob/main/lectures/observed_distributions.md) | -| [**japan_earthquakes.csv**](https://github.com/QuantEcon/data-lectures/raw/main/lectures/japan_earthquakes.csv)
Japan region — earthquakes of magnitude 5 and above, 2000-2024 | constructed | [Advanced National Seismic System (ANSS) Comprehensive Earthquake Catalog (ComCat), US Geological Survey](https://earthquake.usgs.gov/earthquakes/search/) | US Government work — public domain | ✅ permitted | ✅ verified | ✅ committed | 172.8 KB | — | +| [**epl_match_goals.csv**](https://github.com/QuantEcon/data-lectures/raw/main/lectures/epl_match_goals.csv)
English Premier League — full-time scores, 2015-16 to 2024-25 | constructed | [openfootball / football.json](https://github.com/openfootball/football.json) | Public domain | ✅ permitted | ✅ verified | ✅ committed | 203.2 KB | [lecture-python-intro · fitting_distributions.md](https://github.com/QuantEcon/lecture-python-intro/blob/main/lectures/fitting_distributions.md) | +| [**japan_deaths_by_age.csv**](https://github.com/QuantEcon/data-lectures/raw/main/lectures/japan_deaths_by_age.csv)
Japan — deaths by single year of age, 2023 | constructed | [United Nations, Department of Economic and Social Affairs, Population Division — World Population Prospects 2024](https://population.un.org/wpp/downloads) | CC BY 3.0 IGO | ✅ permitted | ✅ verified | ✅ committed | 1.7 KB | [lecture-python-intro · observed_distributions.md](https://github.com/QuantEcon/lecture-python-intro/blob/main/lectures/observed_distributions.md)
[lecture-python-intro · fitting_distributions.md](https://github.com/QuantEcon/lecture-python-intro/blob/main/lectures/fitting_distributions.md) | +| [**japan_earthquakes.csv**](https://github.com/QuantEcon/data-lectures/raw/main/lectures/japan_earthquakes.csv)
Japan region — earthquakes of magnitude 5 and above, 2000-2024 | constructed | [Advanced National Seismic System (ANSS) Comprehensive Earthquake Catalog (ComCat), US Geological Survey](https://earthquake.usgs.gov/earthquakes/search/) | US Government work — public domain | ✅ permitted | ✅ verified | ✅ committed | 172.8 KB | [lecture-python-intro · fitting_distributions.md](https://github.com/QuantEcon/lecture-python-intro/blob/main/lectures/fitting_distributions.md) | | [**lingcod_msy_recovery.csv**](https://github.com/QuantEcon/data-lectures/raw/main/lectures/lingcod_msy_recovery.csv)
Pacific Coast lingcod — biomass and fishing pressure relative to MSY | constructed | [RAM Legacy Stock Assessment Database](https://www.ramlegacy.org/) | CC BY 4.0 | ✅ permitted | ⚠️ unverifiable | ⚠️ unrecovered | 2.3 KB | [lecture-python-intro · msy_fishery.md](https://github.com/QuantEcon/lecture-python-intro/blob/main/lectures/msy_fishery.md) | | [**realwage.csv**](https://github.com/QuantEcon/data-lectures/raw/main/lectures/realwage.csv)
OECD real minimum wages — 32 countries, 2006–2016 | constructed | [OECD — Real minimum wages (RMW)](https://stats.oecd.org/Index.aspx?DataSetCode=RMW) | CC BY 4.0 | ✅ permitted | ⚠️ unverifiable | ⚠️ unrecovered | 118.7 KB | [lecture-python-programming · pandas_panel.md](https://github.com/QuantEcon/lecture-python-programming/blob/main/lectures/pandas_panel.md)
[lecture-python.myst · pandas_panel.md](https://github.com/QuantEcon/lecture-python.myst/blob/main/lectures/pandas_panel.md) | -| [**us_adult_heights.csv**](https://github.com/QuantEcon/data-lectures/raw/main/lectures/us_adult_heights.csv)
United States — adult standing height by sex, NHANES 2015-2018 | constructed | [National Health and Nutrition Examination Survey (NHANES), US Centers for Disease Control and Prevention, National Center for Health Statistics](https://www.cdc.gov/nchs/nhanes/index.htm) | US Government work — public domain | ✅ permitted | ✅ verified | ✅ committed | 123.1 KB | [lecture-python-intro · prob_dist.md](https://github.com/QuantEcon/lecture-python-intro/blob/main/lectures/prob_dist.md)
[lecture-python-intro · observed_distributions.md](https://github.com/QuantEcon/lecture-python-intro/blob/main/lectures/observed_distributions.md) | +| [**us_adult_heights.csv**](https://github.com/QuantEcon/data-lectures/raw/main/lectures/us_adult_heights.csv)
United States — adult standing height by sex, NHANES 2015-2018 | constructed | [National Health and Nutrition Examination Survey (NHANES), US Centers for Disease Control and Prevention, National Center for Health Statistics](https://www.cdc.gov/nchs/nhanes/index.htm) | US Government work — public domain | ✅ permitted | ✅ verified | ✅ committed | 123.1 KB | [lecture-python-intro · prob_dist.md](https://github.com/QuantEcon/lecture-python-intro/blob/main/lectures/prob_dist.md)
[lecture-python-intro · observed_distributions.md](https://github.com/QuantEcon/lecture-python-intro/blob/main/lectures/observed_distributions.md)
[lecture-python-intro · fitting_distributions.md](https://github.com/QuantEcon/lecture-python-intro/blob/main/lectures/fitting_distributions.md) | --- diff --git a/lectures/ames_house_prices.csv.yml b/lectures/ames_house_prices.csv.yml index 7b1c143..e42155a 100644 --- a/lectures/ames_house_prices.csv.yml +++ b/lectures/ames_house_prices.csv.yml @@ -68,6 +68,8 @@ schema: consumers: - repo: QuantEcon/lecture-python-intro file: lectures/observed_distributions.md + - repo: QuantEcon/lecture-python-intro + file: lectures/fitting_distributions.md builder: scripts/ames_house_prices.py builder_status: committed diff --git a/lectures/epl_match_goals.csv.yml b/lectures/epl_match_goals.csv.yml index be16f17..f613e55 100644 --- a/lectures/epl_match_goals.csv.yml +++ b/lectures/epl_match_goals.csv.yml @@ -61,10 +61,9 @@ schema: # The builder asserts exactly 380 matches in each of the ten seasons, so a # partially published season cannot slip in. -consumers: [] -# The consuming lecture (a distribution-fitting lecture for -# lecture-python-intro) is in preparation; this record gets its entry when that -# lecture lands. +consumers: + - repo: QuantEcon/lecture-python-intro + file: lectures/fitting_distributions.md builder: scripts/epl_match_goals.py builder_status: committed diff --git a/lectures/japan_deaths_by_age.csv.yml b/lectures/japan_deaths_by_age.csv.yml index 238a1e1..86a16f6 100644 --- a/lectures/japan_deaths_by_age.csv.yml +++ b/lectures/japan_deaths_by_age.csv.yml @@ -71,6 +71,8 @@ schema: consumers: - repo: QuantEcon/lecture-python-intro file: lectures/observed_distributions.md + - repo: QuantEcon/lecture-python-intro + file: lectures/fitting_distributions.md builder: scripts/japan_deaths_by_age.py builder_status: committed diff --git a/lectures/japan_earthquakes.csv.yml b/lectures/japan_earthquakes.csv.yml index 9e40f05..4fbe7d4 100644 --- a/lectures/japan_earthquakes.csv.yml +++ b/lectures/japan_earthquakes.csv.yml @@ -71,10 +71,9 @@ schema: # for time and magnitude, since ComCat can leave depth unconstrained for a # poorly located event and that should not block a refresh. -consumers: [] -# The consuming lecture (a distribution-fitting lecture for -# lecture-python-intro) is in preparation; this record gets its entry when that -# lecture lands. +consumers: + - repo: QuantEcon/lecture-python-intro + file: lectures/fitting_distributions.md builder: scripts/japan_earthquakes.py builder_status: committed diff --git a/lectures/us_adult_heights.csv.yml b/lectures/us_adult_heights.csv.yml index 06c2279..60aaf64 100644 --- a/lectures/us_adult_heights.csv.yml +++ b/lectures/us_adult_heights.csv.yml @@ -79,6 +79,8 @@ consumers: file: lectures/prob_dist.md - repo: QuantEcon/lecture-python-intro file: lectures/observed_distributions.md + - repo: QuantEcon/lecture-python-intro + file: lectures/fitting_distributions.md builder: scripts/us_adult_heights.py builder_status: committed diff --git a/migration.yml b/migration.yml index 6b31464..52d2b6e 100644 --- a/migration.yml +++ b/migration.yml @@ -129,24 +129,30 @@ datasets: epl_match_goals.csv: pilot: P5 - status: landed - # New dataset with no prior life in a lecture repo. Its consuming lecture - # is still in preparation, so this stays `landed` until that PR merges. + status: repointed + # New dataset with no prior life in a lecture repo, landed ahead of the + # lecture that reads it. prior_pattern: none landed: pr: QuantEcon/data-lectures#31 date: 2026-08-03 - repoints: [] + repoints: + - repo: QuantEcon/lecture-python-intro + pr: QuantEcon/lecture-python-intro#814 + date: 2026-08-04 cutover: null japan_earthquakes.csv: pilot: P5 - status: landed + status: repointed prior_pattern: none landed: pr: QuantEcon/data-lectures#31 date: 2026-08-03 - repoints: [] + repoints: + - repo: QuantEcon/lecture-python-intro + pr: QuantEcon/lecture-python-intro#814 + date: 2026-08-04 cutover: null # Planned waves that have not landed anything here yet. `datasets` names the diff --git a/scripts/audit_annotations.yml b/scripts/audit_annotations.yml index 08d8ca8..73e4dfd 100644 --- a/scripts/audit_annotations.yml +++ b/scripts/audit_annotations.yml @@ -179,6 +179,12 @@ api: series: SI.POV.GINI, NY.GDP.PCAP.KD pedagogy: mixed note: demonstrates searching for the Gini series ID with wbgapi + lecture-python-intro:fitting_distributions:yfinance: + series: AMZN + pedagogy: incidental + note: > + one download, for the section showing that a normal fit to monthly + returns fails in the tails lecture-python-intro:observed_distributions:yfinance: series: AMZN, COST pedagogy: incidental