# ---- Load ----
library(tidyverse)
library(devtools)
library(readxl)
library(httr)
# Load package
load_all(".")
# List of valid 2020 LAD codes for England and Wales
ltla_codes_eng_wal <-
lookup_ltla20_utla20 |>
distinct(ltla20_name, ltla20_code)
# Set query url
query_url <-
query_urls |>
filter(id == "estimates20_ltla20") |>
pull(query)
GET(
query_url,
write_disk(tf <- tempfile(fileext = ".xls"))
)
pop <-
read_excel(
tf,
sheet = "MYE2 - Persons",
skip = 7
)
# Valid pop for England and Wales
pop_eng_wal <-
pop |>
rename(ltla20_code = Code) |>
inner_join(ltla_codes_eng_wal, by = "ltla20_code") |>
relocate(ltla20_name, .after = ltla20_code) |>
select(-Geography, -Name) |>
rename(total_population = `All ages`)
# To get valid 2020 codes for Scot and NI an bind
# Rename
population20_ltla20 <- pop_eng_wal
# Save output to data/ folder
usethis::use_data(population20_ltla20, overwrite = TRUE)
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