Anguniagaq 1: Piitsuussuseq nungutillugu
Aningaasaatikilliortut
FN 1.2.1 Innuttaasut akornanni piitsuussutsimut killigititap ataani inissisimasut annertussusaat, suiaassuseq aamma ukiut immikkoortiterneri malillugit
# Import
SOXOU01_raw <-
statgl_url("SOXOU01", lang = language) |>
statgl_fetch(
"inventory variable" = px_all("Andel*"),
.col_code = T
) |>
as_tibble()
# Transform
SOXOU01 <-
SOXOU01_raw |>
mutate(year = year |> make_date())
# Plot
SOXOU01 |>
ggplot(aes(
x = year,
y = value,
fill = `inventory variable`
)) +
geom_col(position = "dodge") +
scale_y_continuous(labels = scales::percent_format(
scale = 1,
accuracy = 1,
big.mark = ".",
decimal.mark = ","
)) +
theme_statgl() +
scale_fill_statgl(guide = guide_legend(nrow = 2)) +
labs(
title = sdg1$figs$fig1$title[language],
subtitle = sdg1$figs$fig1$sub[language],
x = " ",
y = " ",
fill = sdg1$figs$fig1$fill[language],
caption = sdg1$figs$fig1$cap[language]
)
# Transform
SOXOU01 <-
SOXOU01_raw |>
filter(year >= year(Sys.time()) - 5) |>
mutate(year = year %>% fct_inorder()) |>
spread(2, 3) |>
mutate(`inventory variable` = `inventory variable` |> str_to_sentence())
# Table
SOXOU01 |>
rename(" " = 1) |>
statgl_table() |>
add_footnote(
sdg1$figs$fig1$sub[language],
notation = "symbol")| 2019 | 2020 | 2021 | 2022 | |
|---|---|---|---|---|
| 50%-imik ataatsisut agguaqatigiissinnerini amerlassusaat | 3,8 | 4,1 | 4,3 | 4,7 |
| 60%-imik ataatsisut agguaqatigiissinnerini amerlassusaat | 7,4 | 7,7 | 8,1 | 8,8 |
|
* Ukiuni tulleriinni pingasuni innuttaasut akornanni
isertitat agguaqatigiissinnerini 50 imaluunniit 60 pct.-it ataallugit isertitallit annertussusaat procentinngorlugit |
# Import
SOXOU01_raw <-
statgl_url("SOXOU01", lang = language) |>
statgl_fetch(
"inventory variable" = px_all("Andel*"),
"gender" = 1:2,
.col_code = T
) |>
as_tibble()
# Transform
SOXOU01 <-
SOXOU01_raw |>
mutate(
year = year |> make_date(),
gender = gender |> fct_inorder()
)
# Plot
SOXOU01 |>
mutate(`inventory variable` = `inventory variable` |> str_to_sentence()) |>
ggplot(aes(
x = year,
y = value,
fill = gender
)) +
geom_col(position = "dodge") +
scale_y_continuous(labels = scales::percent_format(
scale = 1
)) +
facet_wrap(~ `inventory variable`) +
theme_statgl() +
scale_fill_statgl(reverse = TRUE) +
labs(
title = sdg1$figs$fig2$title[language],
subtitle = sdg1$figs$fig1$sub[language],
x = " ",
y = " ",
fill = " ",
caption = sdg1$figs$fig1$cap[language]
)
# Transform
SOXOU01 <-
SOXOU01_raw |>
filter(year >= year(Sys.time()) - 5) |>
mutate(year = year |> fct_inorder()) |>
spread(3, 4) |>
mutate(`inventory variable` = `inventory variable` |> str_to_sentence())
# Table
SOXOU01 |>
select(-1) |>
rename(" " = 1) |>
statgl_table() |>
pack_rows(index = table(SOXOU01[[1]])) |>
add_footnote(
sdg1$figs$fig1$sub[language],
notation = "symbol")| 2019 | 2020 | 2021 | 2022 | |
|---|---|---|---|---|
| 50%-imik ataatsisut agguaqatigiissinnerini amerlassusaat | ||||
| Angutit | 4,1 | 4,5 | 4,5 | 5,0 |
| Arnat | 3,5 | 3,7 | 4,0 | 4,3 |
| 60%-imik ataatsisut agguaqatigiissinnerini amerlassusaat | ||||
| Angutit | 7,8 | 8,1 | 8,3 | 9,2 |
| Arnat | 7,0 | 7,3 | 7,9 | 8,4 |
|
* Ukiuni tulleriinni pingasuni innuttaasut akornanni
isertitat agguaqatigiissinnerini 50 imaluunniit 60 pct.-it ataallugit isertitallit annertussusaat procentinngorlugit |
||||
# Import
SOXOU04_raw <-
statgl_url("SOXOU04", lang = language) |>
statgl_fetch(
"inventory variable" = px_all("Andel*"),
"age" = 2:6,
.col_code = T
) |>
as_tibble()
# Transform
SOXOU04 <-
SOXOU04_raw |>
mutate(year = year |> make_date())
# Plot
SOXOU04 |>
mutate(`inventory variable` = `inventory variable` |> str_to_sentence()) |>
ggplot(aes(
x = year,
y = value,
color = age
)) +
geom_line(size = 2) +
facet_wrap(~ `inventory variable`, scales = "free_y") +
scale_y_continuous(labels = scales::percent_format(
scale = 1,
big.mark = ".",
decimal.mark = ","
)) +
theme_statgl() +
scale_color_statgl(reverse = TRUE) +
labs(
title = sdg1$figs$fig3$title[language],
subtitle = sdg1$figs$fig3$sub[language],
x = " ",
y = " ",
color = sdg1$figs$fig3$color[language],
caption = sdg1$figs$fig3$cap[language]
)
# Transform
SOXOU04 <-
SOXOU04_raw |>
filter(year >= year(Sys.time()) - 5) |>
mutate(year = year |> fct_inorder()) |>
spread(3, 4) |>
mutate(`inventory variable` = `inventory variable` |> str_to_sentence())
# Table
SOXOU04 |>
select(-1) |>
rename(" " = 1) |>
statgl_table() |>
pack_rows(index = table(SOXOU04[[1]])) |>
add_footnote(
sdg1$figs$fig3$foot[language],
notation = "symbol")| 2019 | 2020 | 2021 | 2022 | |
|---|---|---|---|---|
| 50%-imik ataatsisut agguaqatig | ||||
| -29 | 10,3 | 10,9 | 11,3 | 12,8 |
| 30-39 | 4,7 | 5,0 | 5,0 | 5,7 |
| 40-49 | 2,6 | 3,1 | 3,3 | 3,3 |
| 50-60 | 2,4 | 2,4 | 2,6 | 2,8 |
| 60+ | 1,3 | 1,5 | 1,5 | 1,7 |
| 60%-imik ataatsisut agguaqatig | ||||
| -29 | 17,1 | 17,6 | 18,3 | 19,9 |
| 30-39 | 8,5 | 9,0 | 9,2 | 10,0 |
| 40-49 | 5,0 | 5,3 | 5,7 | 5,9 |
| 50-60 | 4,8 | 4,9 | 5,1 | 5,5 |
| 60+ | 3,4 | 3,5 | 3,7 | 4,2 |
| * Ukiuni tulleriinni pingasuni innuttaasut akornanni isertitat agguaqatigiissinnerini 50 imaluunniit 60 pct.-it ataallugit isertitallit annertussusaat procentinngorlugit. Tabelimi 18-ileereersimasut kisimik pineqarput. | ||||
# Tak til podcasten VELKOMMEN TIL INTERNETTET for god lytter!Nassuiaat
Aningaasaatikilliortut pillugit kisitsisitigut paasissutissani misissukkat amerlassusaat aalajangersimasuupput, innuttaasullu tamakkerneqanngillat. Assersuutigalugu ilinniartut isumaginninnikkut inissiisarfinni najugallit assigisaallu misissuinermi ilanngunneqanngillat. Taassumalu saniatiagut aningaasaatikilliortutut naatsorsuutinut ilanngunneqassangaanni isertitat agguaqatigiissinnerini 50 imaluunniit 60 pct.-it ataallugit inissisimasaqariaqarpoq.
At-risk-of-poverty rate atorlugu naatsorsuutit
FN 1.2.1 Innuttaasut akornanni piitsuussutsimut killiliussap ataani inissisimasut annertussusaat
# Import
INXIU101_raw <-
statgl_url("INXIU101", lang = language) |>
statgl_fetch(
indicator = 2:4,
time = px_all(),
.col_code = T
) |>
as_tibble()
# Transform
INXIU101 <-
INXIU101_raw |>
mutate(
time = time |> make_date(),
indicator = indicator |> as.factor() |> fct_rev()
)
# Plot
INXIU101 |>
ggplot(aes(
x = time,
y = value,
fill = indicator
)) +
geom_area(position = "identity") +
scale_y_continuous(labels = scales::percent_format(
scale = 1,
accuracy = 1.1,
big.mark = ".",
decimal.mark = ","
)) +
theme_statgl() +
scale_fill_statgl(reverse = TRUE, guide = guide_legend(nrow = 3)) +
labs(
title = "At-risk-of-povery rate",
x = " ",
y = " ",
fill = sdg1$figs$fig1$fill[language],
caption = sdg1$figs$fig4$cap[language]
)
Nassuiaat
Kalaallit Nunaanni pisortatigoortumik piitsuussuseq killilerneqanngilaq, nunalli tamalaat akornanni uuttuut at-risk-of-poverty rate (ROP) atorlugu piitsuussusermut qanissuseq paasinarsarneqartarpoq.
Innuttaasullu akornanni inoqutigiit isertitaasa atoriaannaat agguaqatigiissinnerini procentit aalajangersimasut ataallugit inissisimasut qanoq amerlatiginersut uuttuummi kisinneqartarput (uani 40, 50 aamma 60 pct.-it).
Pisortanit ikiorsiissutit
FN 1.a.2 Pisortanit aningaasartuutit ikiorsiissutinut pingaarnernut (atuartitsinermut, peqqinnissamut inunnillu isumaginninnermut) immikkoortitat ataatsimut annertussusaat
# Import
OFXFUNK_raw <-
statgl_url("OFXFUNK", lang = language) |>
statgl_fetch(
"function" = c(0, 33, 44, 50),
sector = c(0, 1, 2),
.col_code = T
) |>
as_tibble()
# Transform
vec <- 4:6
names(vec) <- trimws(unique(OFXFUNK_raw[[2]]) |> str_remove_all("[:digit:]\\.") |> str_remove_all("1 "))[-1]
OFXFUNK <-
OFXFUNK_raw |>
mutate(value = value |> replace_na(0)) |>
spread(2, 4) |>
select(1:2, unique(OFXFUNK_raw[[2]])) |>
rename(
total = 3,
sund = 4,
under = 5,
social = 6
) |>
mutate(other = total - (sund + under + social)) |>
rename(vec) |>
select(-3) |>
gather(key, value, -(1:2)) |>
mutate(
key = key |> str_replace("other", sdg1$figs$fig5$other[language] |> unlist()),
key = key |> fct_inorder(),
sector = sector |> fct_inorder(),
time = time |> make_date()
)
# Plot
OFXFUNK |>
ggplot(aes(
x = time,
y = value,
fill = key
)) +
geom_area(position = "fill") +
facet_wrap(~ sector) +
scale_fill_statgl(palette = "spring", reverse = TRUE) +
theme_statgl() +
scale_y_continuous(labels = scales::percent_format()) +
labs(
title = sdg1$figs$fig5$title[language],
subtitle = sdg1$figs$fig5$sub[language],
x = " ",
y = " ",
caption = sdg1$figs$fig5$cap[language],
fill = sdg1$figs$fig5$fill[language]
)
Sivisuumik pisortanit ikiorsiissutit
FN 1.3
# Import
ARXLEDVAR_raw <-
statgl_url("ARXLEDVAR", lang = language) |>
statgl_fetch(
time = px_all(),
'number of months' = 1:4,
'inventory variable' = "procent",
.col_code = T
) |>
as_tibble()
# Transform
ARXLEDVAR <-
ARXLEDVAR_raw |>
mutate(`number of months` = fct_inorder(`number of months`)) |>
mutate(time = str_replace_all(time, "Q", "-")) |>
mutate(time = yq(time))
# Plot
ARXLEDVAR |>
ggplot(aes(
x = time,
y = value,
fill = `number of months`
)) +
geom_area(position = "fill") +
scale_x_date() +
scale_y_continuous(labels = scales::percent_format()) +
scale_fill_statgl(reverse = T, guide = guide_legend(nrow = 2, byrow = T)) +
theme_statgl() +
labs(
title = sdg1$figs$fig6$title[language],
subtitle = sdg1$figs$fig6$sub[language],
x = " ",
y = " ",
fill = sdg1$figs$fig6$fill[language],
caption = sdg1$figs$fig6$cap[language]
)