test_category_totals <- tibble(
year = "CY2000",
cat_id = int(11111, 999),
ems_qty = c(456.7, 20.0),
ems_unit = "ton/yr")
test_population_fractions <-
tibble(year = "CY2000", ALA = 0.5, CC = 0.3, SON = 0.2)
test_population_growth <- bind_rows(
ALA = tibble(CY2000 = 1.00, CY2005 = 0.97, CY2010 = 0.90),
CC = tibble(CY2000 = 1.00, CY2005 = 1.29, CY2010 = 1.38),
SON = tibble(CY2000 = 1.00, CY2005 = 1.02, CY2010 = 1.03),
.id = "cnty_abbr")
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