GDX1GDO_raw <-
statgl_url("GDX1GDO", lang = language) %>%
statgl_fetch(
municipality = px_all(),
affiliation = px_all(),
time = px_top(1),
.col_code = TRUE
) %>%
as_tibble()
regions <-
c("Danmark","Byen København", "Københavns omegn", "Nordsjælland",
"Bornholm i alt", "Østsjælland", "Vest- og Sydsjælland",
"Fyn", "Sydjylland", "Østjylland", "Vestjylland", "Nordjylland")
GDX1GDO <-
GDX1GDO_raw %>%
filter(municipality %in% regions) %>%
mutate(
affiliation = affiliation %>% fct_inorder(),
municipality = municipality %>% fct_reorder(value, .fun = sum, .desc = TRUE)
) %>%
spread(affiliation, value) %>%
mutate_if(is.integer, ~ replace(., is.na(.), 0))
GDX1GDO %>%
select(-time) %>%
rename(" " = 1) %>%
statgl_table(replace_0s = TRUE) %>%
pack_rows(index = GDX1GDO[["time"]] %>% table()) %>%
row_spec(1, bold = TRUE)
|
Katillugit
|
Angajoqqaat Kalaallit Nunaanni inunngortut
|
Angajoqqaap aappaa Kalaallit Nunaanni inunngortoq aappaalu Kalaallit
Nunaata avataani inunngortoq
|
Angajoqqaap aappaa Kalaallit Nunaanni inunngortoq aappaalu
paasissutissaqanngitsoq
|
Angajoqqaat Kalaallit Nunaata avataani inunngortut
|
Angajoqqaap aappaa Kalaallit Nunaata avataani inunngortoq aappaalu
paasissutissaqanngitsoq
|
Angajoqqaat inunngorfii paasissutissaqanngitsut
|
2023
|
Danmark
|
17.079
|
5.308
|
3.618
|
1.104
|
4.091
|
616
|
2.342
|
Nordjylland
|
2.929
|
1.352
|
548
|
218
|
377
|
61
|
373
|
Østjylland
|
2.667
|
792
|
606
|
149
|
732
|
81
|
307
|
Sydjylland
|
2.366
|
854
|
507
|
161
|
452
|
68
|
324
|
Fyn
|
1.787
|
612
|
387
|
112
|
384
|
50
|
242
|
Vest- og Sydsjælland
|
1.456
|
278
|
331
|
91
|
396
|
78
|
282
|
Vestjylland
|
1.273
|
504
|
247
|
86
|
238
|
38
|
160
|
Nordsjælland
|
885
|
102
|
180
|
46
|
355
|
50
|
152
|
Østsjælland
|
486
|
62
|
120
|
25
|
186
|
28
|
65
|
Bornholm i alt
|
164
|
34
|
38
|
18
|
39
|
7
|
28
|
Se Statistikbankens tabel: GDX1GDO
GDXRA_raw <-
statgl_url("GDXRA", lang = language) %>%
statgl_fetch(
"socioeconomic status" = px_all(),
gender = px_all(),
time = px_top(1),
.col_code = TRUE
) %>%
as_tibble()
GDXRA <-
GDXRA_raw %>%
mutate(
gender = gender %>% fct_inorder(),
`socioeconomic status` = `socioeconomic status` %>% fct_inorder()
) %>%
spread(gender, value) %>%
mutate_if(is.integer, ~ replace(., is.na(.), 0))
GDXRA %>%
select(-time) %>%
rename(" " = 1) %>%
statgl_table(replace_0s = TRUE) %>%
pack_rows(index = GDXRA[["time"]] %>% table()) %>%
row_spec(1, bold = TRUE)
|
Katillugit
|
Angutit
|
Arnat
|
2021
|
Katillugit
|
16.814
|
7.213
|
9.601
|
Namminersortut
|
337
|
165
|
172
|
Aappaq inuussutissarsiornermi ingerlatseqataasoq
|
9
|
0
|
0
|
Aqutsisutut suliaqarlutik akissarsiallit
|
212
|
135
|
77
|
Qaffasinnerpaamik akissarsiallit
|
1.869
|
699
|
1.170
|
Akunnattumik qaffasissusilinnik akissarsiallit
|
640
|
290
|
350
|
Annikinnerpaanik akissarsiallit
|
2.952
|
1.395
|
1.557
|
Akissarsiallit allat
|
677
|
330
|
347
|
Akissarsiallit allat ersarinnerusumik killiliiffigineqanngitsut
|
556
|
278
|
278
|
Suliffeqanngitsut
|
345
|
147
|
198
|
Akissarsiaqarfiunngitsumik tapeqarfiusumilli sulineq
|
113
|
58
|
55
|
Feerieqarnersiutit
|
0
|
0
|
0
|
Ilitsersorneqarneq piginnaanngorsaqqinnerlu
|
140
|
77
|
63
|
Suliffeqannginnermi ikiorsiissutit
|
70
|
18
|
52
|
Suliffeqannginnerup nalaani ernereernerup kingorna sulinngiffeqarneq
|
18
|
0
|
0
|
Suliffeqannginnerup nalaani napparsimalluni sulinngiffeqarneq
|
120
|
46
|
74
|
Namminermut ilaquttanullu pilersuisinnaannginnermi ikiorsiissut
(suliffeqalernissamut sulissuteqanngitsut)/aallarniutitut ikiorsiissut
|
1.853
|
844
|
1.009
|
Piginnaanngorsaqqinneq
|
0
|
0
|
0
|
Piginnaasat aallaavigalugit suliffimmik misiliineq
|
245
|
95
|
150
|
Sulisinnaassusermik misiliineq
|
75
|
10
|
65
|
Siusinaartumik soraarnerussutisiat
|
1.734
|
672
|
1.062
|
Soraarninngornissamut ukiorititat sioqqullugit soraarnerussutisiat
|
80
|
19
|
61
|
Suliffimmik misiliinermi tapiissutit
|
9
|
0
|
0
|
Utoqqalinermi soraarnerussutisiat
|
1.554
|
420
|
1.134
|
Soraarnerussutisiat allat
|
152
|
60
|
92
|
Ilinniakkamik ingerlatsisut
|
2.007
|
942
|
1.065
|
Meeqqat inuusuttullu (ilinniakkamik ingerlatsinngitsut)
|
254
|
124
|
130
|
Sulisinnaasutut nalunaarsorsimanngitsut allat
|
754
|
358
|
396
|
Paasissutissaqanngitsut
|
35
|
22
|
13
|
Se Statistikbankens tabel: GDXRA