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chart-library-country

Source: vignettes/chart-library-country.Rmd
chart-library-country.Rmd

Below is the library with all Country Focused questions organised around the 7 key questions!

1. Category

Key Figures 

plot_ctr_keyfig(
  year = 2024,
  country_asylum_iso3c = "COL"
)

Plot Tree Map of Categories 

#
plot_ctr_treemap(
  year = 2024,
  country_asylum_iso3c = "USA"
)

Plot Population Type Over year 

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 )

2. Origin

Plot Main country of origin in one specific country - Absolute value 

plot_ctr_population_type_abs(
  year = 2024,
  country_asylum_iso3c = "USA",
  top_n_countries = 4,
  pop_type = "REF",
  show_diff_label = FALSE
)


## Same with 9 top countries and Asylum-seekers included
plot_ctr_population_type_abs(
  year = 2024,
  country_asylum_iso3c = "USA",
  top_n_countries = 9,
  pop_type = "ASY",
  show_diff_label = TRUE
)

Plot Main country of origin in one specific country - Percentage 

plot_ctr_population_type_perc(
  year = 2024,
  country_asylum_iso3c = "BRA",
  top_n_countries = 9,
  pop_type = "REF",
  show_diff_label = FALSE
)


plot_ctr_population_type_perc(
  year = 2024,
  country_asylum_iso3c = "BRA",
  top_n_countries = 9,
  pop_type = "ASY",
  show_diff_label = TRUE
)

Plot Increases and Decreases in Population Groups 

#
plot_ctr_diff_in_pop_groups(
  year = 2024,
  country_asylum_iso3c = "ROU",
  pop_type = c("REF", "ASY")
)

Plot Origin History 

plot_ctr_origin_history(
  year = 2024,
  lag = 5,
  country_asylum_iso3c = "MEX",
  pop_type = c(
    "REF",
    "ASY",
    "OIP",
    "IDP"
  ),
  otherprop = .02
)

3. Destination

Plot Main Destination from one specific country 

#
plot_ctr_destination(
  year = 2024,
  country_origin_iso3c = "COL",
  pop_type = c("REF", "ASY")
)

plot recognition rate for a nationality 

plot_ctr_origin_recognition(
  year = 2024,
  country_origin_iso3c = "VEN",
  top_n_countries = 10,
  measure = "RefugeeRecognitionRate",
  order_by = "TotalDecided"
)

4. Profile

Plot Age Pyramid 

#
plot_ctr_pyramid(
  year = 2024,
  country_asylum_iso3c = "COL",
  pop_type = c("ASY", "REF")
)

Plot locations within countries 

# plot_ctr_location(year = 2024,
#                  country_asylum_iso3c = "COL",
#                  pop_type = c("ASY", "REF", "OIP"))
#
# plot_ctr_location(year = 2024,
#                  country_asylum_iso3c = "COL",
#                  pop_type = c("IDP"))
#
# plot_ctr_location(year = 2024,
#                  country_asylum_iso3c = "CAN",
#                  pop_type = c("ASY", "REF", "OIP"))
#
# plot_ctr_location(year = 2024,
#                  country_asylum_iso3c = "MEX",
#                  pop_type = c("ASY", "REF", "OIP"))

5. Processing

Plot Refugee Recognition rate in Country 

plot_ctr_recognition(
  year = 2024,
  country_asylum_iso3c = "USA",
  top_n_countries = 10,
  measure = "RefugeeRecognitionRate",
  order_by = "TotalDecided"
)

5. Processing

Asylum Applications & Decision over time 

plot_ctr_asylum(
  year = 2024,
  country_asylum_iso3c = "ECU",
  lag = 10
)

Asylum Processing 

plot_ctr_process(year = 2024, country_asylum_iso3c = "BOL")


plot_ctr_process(year = 2024, country_asylum_iso3c = "CHL")



plot_ctr_process(
  year = 2024, country_asylum_iso3c = "USA",
  otherprop = .02
)


plot_ctr_process(
  year = 2024, country_asylum_iso3c = "USA",
  otherprop = .04
)

Average Asylum Processing Time 

plot_ctr_processing_time(
  year = 2024,
  country_asylum_iso3c = "ARG"
)



plot_ctr_processing_time(
  year = 2024,
  country_asylum_iso3c = "USA"
)


## Display a filtered version of the chart for a specific country and procedure
plot_ctr_processing_time(
  year = 2024,
  country_asylum_iso3c = "EGY",
  country_origin_iso3c = "ERI",
  procedureType = "U"
)

6. Solutions

Plot Solution Over time 

plot_ctr_solution(
  year = 2024,
  country_asylum_iso3c = "UGA",
  lag = 10,
  sol_type = c("NAT", "RST", "RET", "RDP")
)

Plot Solution Over Recognition 



``` r
plot_ctr_solution_recognition(
  year = 2024,
  country_asylum_iso3c = "UGA",
  lag = 10
)

7.Migrant

plot share displaced / migrant for world - region - subregion

bar with share

Plot share displaced / migrant for top countries

dumbel

Plot Ratio Refugee Migrant 

plot_ctr_disp_migrant(
  year = 2024,
  country_asylum_iso3c = "MEX",
  top_n_countries = 10
)

# plot_ctr_disp_migrant(year = 2024,
#                     country_asylum_iso3c = "FRA" )

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