library(readr)
library(dplyr)
new_zealand_popn_admin <- read_csv("data-raw/new_zealand_popn_admin/exp-pop-estimates-2007-16-csv.csv") %>%
rename(time = year, count = idierp) %>%
xtabs(count ~ time, data = .) %>%
array(., dim = dim(.), dimnames = dimnames(.))
save(new_zealand_popn_admin,
file = "data/new_zealand_popn_admin.rda",
compress = "xz")
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