Graph of Population Type Over year

Usage

plot_ctr_population_type_per_year(
  year = 2024,
  lag = 5,
  country_asylum_iso3c,
  pop_type = c("REF", "ASY", "IDP", "OIP", "STA", "OOC"),
  label_font_size = 4,
  category_font_size = 10,
  legend_font_size = 10
)

Arguments

year: Numeric value of the year (for instance 2020)
lag: Number of year to used as comparison base
country_asylum_iso3c: Character value with the ISO-3 character code of the Country of Asylum
pop_type: Vector of character values. Possible population type (e.g.: REF, IDP, ASY, OIP, OIP, OOC, STA)
label_font_size: Numeric value for label font size, default to 4
category_font_size: Numeric value for axis text font size, default to 10
legend_font_size: Numeric value for legend font size, default to 10

Value

a ggplot2 object

Examples

p <- plot_ctr_population_type_per_year(
  year = 2024,
  country_asylum_iso3c = "BRA",
  lag = 5,
  pop_type = c(
    "REF",
    "ASY",
    "OIP",
    "OOC",
    "STA",
    "IDP"
  )
)
p

## Raw data can always be accessed with
# knitr::kable(ggplot2::ggplot_build(p)$plot$data )
p <- plot_ctr_population_type_per_year(
  year = 2024,
  country_asylum_iso3c = "BRA",
  lag = 5,
  pop_type = c(
    "REF",
    "ASY",
    "OIP",
    "OOC",
    "STA",
    "IDP"
  )
)
p

## Raw data can always be accessed with
# knitr::kable(ggplot2::ggplot_build(p)$plot$data )