NAXT1_raw <-
statgl_url("NAXT1", lang = language) %>%
statgl_fetch(
surname = px_all(),
rank = 0,
time = px_top(),
.col_code = TRUE
) %>%
as_tibble()
NAXT1 <-
NAXT1_raw %>%
filter(value >= 1000) %>%
arrange(desc(value)) %>%
mutate(surname = surname %>% fct_reorder(value, .fun = sum, .desc = TRUE)) %>%
spread(rank, value)
col <- paste(colnames(NAXT1)[3], "> 1000")
NAXT1 %>%
select(-time) %>%
statgl_table(col.names = c(" ", col)) %>%
pack_rows(index = NAXT1[["time"]] %>% table())
surname | Amerlassusaat |
---|---|
2021 | |
Petersen | 2.087 |
Olsen | 1.704 |
Jensen | 1.494 |
Nielsen | 1.346 |
Hansen | 1.033 |
helper <-
statgl_url("NAXT5", lang = language) %>%
statgl_fetch(
unit = 0,
sex = px_all(),
time = px_top(1),
"first name" = px_all(),
.col_code = FALSE
) %>%
as_tibble()
NAXT5_raw <-
statgl_url("NAXT5", lang = language) %>%
statgl_fetch(
unit = 0,
sex = px_all(),
time = px_top(1),
"first name" = px_all(),
.col_code = TRUE
) %>%
as_tibble()
NAXT5 <-
NAXT5_raw %>%
drop_na() %>%
arrange(sex, desc(value)) %>%
filter(value >= 350) %>%
arrange(sex) %>%
mutate(`first name` = `first name` %>% fct_inorder()) %>%
spread(unit, value)
col <- paste(NAXT5_raw[["unit"]][1], "> 350")
NAXT5 %>%
select(-sex, -time) %>%
rename(" " = 1) %>%
statgl_table(col.names = c(" ", col)) %>%
pack_rows(index = NAXT5[["time"]] %>% table()) %>%
pack_rows(index = NAXT5[["sex"]] %>% table())
Amerlassusaat | |
---|---|
2021 | |
Angutit | |
Hans | 825 |
Jens | 669 |
Karl | 625 |
Peter | 574 |
Lars | 492 |
Niels | 459 |
Kristian | 407 |
Ole | 394 |
Arnat | |
Ane | 569 |
Karen | 389 |
Marie | 380 |