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clean up

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This commit is contained in:
Pablo Antonio Lillo Cea 2026-05-08 10:18:12 +02:00
parent c50b9917d3
commit 9a9b42d654
1 changed files with 2 additions and 5 deletions
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7
src/municipalities/02-CA.R
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@ -78,7 +78,7 @@ col_sup_politics <- analysis_vars[
]
# (c) Infrastructure, mobility, and event counts → col.sup
# Genuine counts but measuring dwellings, vehicles, farms, animals, or flows
# Counts but measuring dwellings, vehicles, farms, animals, or flows
# rather than resident persons. Projecting them as supplementary shows how
# they relate to the population-composition space without distorting it.
col_sup_infra <- analysis_vars[
@ -116,10 +116,7 @@ col_sup_vars <- c(col_sup_edu, col_sup_politics, col_sup_infra)
# Active: population-composition person-counts
# All five groups answer "how many residents have attribute X?" and therefore
# share a common denominator — the resident population. No pre-processing
# or proportionalization is needed: CA row-profile normalisation already
# removes the size effect, and chi-square distance directly compares
# compositional profiles.
# share a common denominator.
active_vars <- analysis_vars[
(str_detect(analysis_vars, "^age_") |
str_detect(analysis_vars, "^education_level_of_swedish_men_") |