Data sources & credits
This course makes claims from data, so it plays fair. Every dataset below was downloaded once from a reliable public source, kept read-only, and logged here with its origin and licence — so any chart traces back to its raw source.
Licensing. The course itself (text, code, charts, site) is © JD Jones, licensed CC BY-SA 4.0. The 15 datasets listed here are not covered by that licence — each keeps the licence of its original source (CC0 / public domain, OpenIntro educational use, R "datasets"/HistData, Gapminder CC-BY, U.S. Government public-domain works such as NHANES and USGS, etc.). Reuse of a dataset follows its own terms; please credit the original source.
penguins.csv
Palmer Station LTER / Dr. Kristen Gorman; packaged by Allison Horst (`palmerpenguins`)
CC0 1.0 (public domain) · downloaded 2026-06-08
raw.githubusercontent.com/allisonhorst/palmerpen…
Used in: Lesson 1 — Describing data; Lesson 3 — Relationships & regression (Simpson's paradox); Lesson 5 *data variant* — conditional probability & independence; Lesson 13 *data variant* — hypothesis testing (species masses); Lesson 16 — ANOVA; Lesson 17 *data variant* — chi-square (species × island); Lesson 19 *data variant* — multiple regression (mass ~ flipper + species)
faithful.csv
Old Faithful geyser eruptions; W. Härdle (1991); base-R `datasets`, mirrored by Vincent Arel-Bundock (Rdatasets)
Public domain / GPL-2 (R datasets) · downloaded 2026-06-08
vincentarelbundock.github.io/Rdatasets/csv/datas…
Used in: Lesson 2 — Distributions
loans.csv
Lending Club peer-to-peer loans; curated by OpenIntro (`loans_full_schema`)
Free for educational use (OpenIntro) · downloaded 2026-06-08
www.openintro.org/data/csv/loans_full_schema.csv
Used in: Lesson 2 — Distributions; Lesson 10 — CLT
titanic.csv
Titanic passenger manifest; Vanderbilt Biostatistics (F. Harrell) / historical records; Stanford CS109 mirror
Public domain (historical record) · downloaded 2026-06-08
web.stanford.edu/class/archive/cs/cs109/cs109.11…
Used in: Lesson 5 — Probability; Lesson 7 *data variant* — random variables (relatives aboard); Lesson 8 *data variant* — binomial (survival); Lesson 14 *data variant* — inference for proportions (survival by sex)
births14.csv
US CDC/NCHS Natality Detail File 2014; curated by OpenIntro (`births14`)
Free for educational use (OpenIntro); public source data · downloaded 2026-06-08
www.openintro.org/data/csv/births14.csv
Used in: Lesson 7 — Random variables; Lesson 8 — Binomial & Poisson
earthquakes_2024_06.csv
M4.5+ global earthquakes, June 2024; USGS Earthquake Hazards Program (ANSS ComCat), FDSN query
US Government work, public domain · downloaded 2026-06-08
earthquake.usgs.gov/fdsnws/event/1/query?format=…
Used in: Lesson 8 — Binomial & Poisson; Lesson 8 *data variant* — Poisson on rarer (M5+) quakes per day
galton.csv
Galton family heights; F. Galton (1886); `HistData` package, mirrored by Vincent Arel-Bundock (Rdatasets)
Public domain (historical) / GPL (HistData) · downloaded 2026-06-08
vincentarelbundock.github.io/Rdatasets/csv/HistD…
Used in: Lesson 9 — Normal distribution
ames.csv
Ames, Iowa City Assessor (public record); De Cock (2011, *J. Statistics Education*); distributed by OpenIntro
Public data, free for educational use (OpenIntro) · downloaded 2026-06-08
www.openintro.org/data/csv/ames.csv
Used in: Lesson 3 — Relationships & regression; Lesson 4 — Sampling & study design; Lesson 10 *data variant* — CLT (sale price); Lesson 11 — Estimation; Lesson 12 — Confidence intervals (flagship); Lesson 12 *data variant* — confidence intervals (sale price); Lessons 18–19 — regression inference
ToothGrowth.csv
Guinea-pig odontoblast length by vitamin-C supplement (OJ/VC) and dose; Crampton (1947); base-R `datasets`, mirrored by Vincent Arel-Bundock (Rdatasets)
Public domain / GPL-2 (R datasets) · downloaded 2026-06-09
vincentarelbundock.github.io/Rdatasets/csv/datas…
Used in: Lesson 15 — t-tests; Lesson 20 — Bootstrap & permutation
swim.csv
Swimmer velocities, wetsuit vs swimsuit (paired, n=12); De Lucas et al. (2000); curated by OpenIntro
Free for educational use (OpenIntro) · downloaded 2026-06-09
www.openintro.org/data/csv/swim.csv
Used in: Lesson 15 — t-tests (paired); Lesson 20 *data variant* — bootstrap & permutation (paired diffs)
iris.csv
Fisher's irises (1936); Edgar Anderson measurements; base-R `datasets`, mirrored by Vincent Arel-Bundock (Rdatasets)
Public domain / GPL-2 (R datasets) · downloaded 2026-06-09
vincentarelbundock.github.io/Rdatasets/csv/datas…
Used in: Lesson 1 *data variant* — describing a clean dataset
gapminder.csv
Gapminder Foundation country-year panel (1952–2007); Jenny Bryan / kirenz GitHub mirror
Free, no account (Gapminder data, CC-BY) · downloaded 2026-06-09
raw.githubusercontent.com/kirenz/datasets/master…
Used in: Lesson 2 *data variant* — left-skew (life expectancy); Lesson 3 *data variant* — nonlinearity & log transform (GDP vs life expectancy); Lesson 18 *data variant* — regression inference (slope on log GDP)
nhanes_men.csv
NHANES 2015–2018 adult-male body measurements (height `BMXHT` in mm); CDC / NCHS, parsed by Penn State OPEN Design Lab
US Government work, public domain (NHANES); CSV mirror by Penn State OPEN Design Lab · downloaded 2026-06-09
bpb-us-e1.wpmucdn.com/sites.psu.edu/dist/4/27975…
Used in: Lesson 9 *data variant* — the empirical rule on ~5,000 heights; Lesson 11 *data variant* — estimation & standard error
chickwts.csv
Chick weights by feed supplement (6 feeds); agricultural experiment, base-R `datasets`, mirrored by Vincent Arel-Bundock (Rdatasets)
Public domain / GPL-2 (R datasets) · downloaded 2026-06-09
vincentarelbundock.github.io/Rdatasets/csv/datas…
Used in: Lesson 15 *data variant* — two-sample t-test (two feeds); Lesson 16 *data variant* — ANOVA (six feeds)
textbooks.csv
UCLA bookstore vs Amazon new-textbook prices (paired, 73 books); curated by OpenIntro
Free for educational use (OpenIntro) · downloaded 2026-06-09
www.openintro.org/data/csv/textbooks.csv
Used in: Lesson 15 *data variant* — paired t-test (campus vs online price)
A larger catalogue of verified, free,
no-account datasets — each mapped to the statistics concept it teaches best — lives in the project's
raw/dataset-catalog.md.