1 Codebook — Group 2 — Risk factors

Spine: How do bodies carry risk, how do class and smoke talk, and where do children still die young?

1.0.1 Panel A

cardioRiskFactors recoded: sex and smok are factors, not numbers

n = 998 rows, 14 columns.

Column Inferred type Notes
age Quant 40 unique, 0 NA
bmi Quant 229 unique, 0 NA
waisthip Quant 561 unique, 0 NA
smok Qual 2 unique, 0 NA
choles Quant 71 unique, 0 NA
trig Quant 255 unique, 0 NA
hdl Quant 204 unique, 0 NA
ldl Quant 422 unique, 0 NA
sys Quant 115 unique, 0 NA
dia Quant 79 unique, 0 NA
Uric Quant 380 unique, 0 NA
sex Qual 2 unique, 0 NA
alco Quant 207 unique, 0 NA
apoa Quant 134 unique, 0 NA

1.0.2 Panel B

Scottish Health Survey 1998; area is a code — not a map

n = 8,804 rows, 7 columns.

Column Inferred type Notes
age Quant 57 unique, 0 NA
sex Qual 2 unique, 0 NA
sc Quant-looking — check levels; may be Qual 3 unique, 0 NA
carstair Quant 274 unique, 0 NA
smoke Qual 5 unique, 0 NA
area Quant 312 unique, 0 NA
cvd Qual 2 unique, 0 NA

1.0.3 Panel C

SOWC child mortality 2018 by country; join by country name

n = 195 rows, 6 columns.

Column Inferred type Notes
country Qual 195 unique, 0 NA
under5_mortality_2018 Quant 73 unique, 0 NA
infant_mortality_2018 Quant 64 unique, 0 NA
neonatal_mortality_2018 Quant 41 unique, 0 NA
under5_mortality_2018_male Quant 73 unique, 0 NA
under5_mortality_2018_female Quant 70 unique, 0 NA

1.1 Pair card (Day 1 brick)

Pair Legal question First mark Later test (kit first, campus later)
Quant + Qual (2 levels) Does amount differ by kind? Two violins Two-sample comparison
Quant + Qual (3+ levels) Do kinds have different amounts? Grouped violin ANOVA
Qual + Qual Are kinds entangled? Mosaic Chi-square / two proportions
One Qual vs “more than half” Is this share rare? Bar / waffle One proportion
Quant + Quant How do two amounts move? Scatter Not a Day-7 campus hunch unless they insist

1.2 Forbidden list

  • Do not histogram a yes/no, a 0/1, a chest-pain type, a grade, or a wealth-like code.
  • Do not average Sex, ChestPain, degree, helmet, immigrant, ethnicity.
  • Do not choropleth a count when a rate exists (infant mortality, under-5 mortality, lifeExp are rates or expectations — pop is a count).
  • Do not run ANOVA on Panel B.
  • Do not treat area in the Scottish file as a map.
  • One AI prompt per panel, after paper, and only for a geom the codebook allows.

1.3 Sources (cite on the Quarto site)

  • CardioDataSets (Cáceres Rossi): heartdisease_tbl_df, cardioRiskFactors_df, scottish_CVD_df, cardiac_failure_df
  • openintro: infmortrate, sowc_child_mortality, bdims, yrbss, gss2010
  • gapminder: gapminder
  • AER: GSS7402
  • Files pulled via Rdatasets (Arel-Bundock)

NHANES and NFHS-5 / malariaAtlas were the preferred A and India-C objects. They are not in this zip because they need extra packages or an API. Group 3 A is a body-measure stand-in. Group 5 C is Asia-only gapminder, not district NFHS.

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