library(unhcrdatapackage)
#> Warning: replacing previous import 'shinydashboard::dashboardPage' by
#> 'shinydashboardPlus::dashboardPage' when loading 'unhcrdatapackage'
#> Warning: replacing previous import 'shinydashboard::dashboardSidebar' by
#> 'shinydashboardPlus::dashboardSidebar' when loading 'unhcrdatapackage'
#> Warning: replacing previous import 'shinydashboard::box' by
#> 'shinydashboardPlus::box' when loading 'unhcrdatapackage'
#> Warning: replacing previous import 'shinydashboard::dashboardHeader' by
#> 'shinydashboardPlus::dashboardHeader' when loading 'unhcrdatapackage'
#> Warning: replacing previous import 'shinydashboard::taskItem' by
#> 'shinydashboardPlus::taskItem' when loading 'unhcrdatapackage'
#> Warning: replacing previous import 'shinydashboard::notificationItem' by
#> 'shinydashboardPlus::notificationItem' when loading 'unhcrdatapackage'
#> Warning: replacing previous import 'shinydashboard::messageItem' by
#> 'shinydashboardPlus::messageItem' when loading 'unhcrdatapackage'
#> Registered S3 methods overwritten by 'ggalt':
#> method from
#> grid.draw.absoluteGrob ggplot2
#> grobHeight.absoluteGrob ggplot2
#> grobWidth.absoluteGrob ggplot2
#> grobX.absoluteGrob ggplot2
#> grobY.absoluteGrob ggplot2
#> Warning: replacing previous import 'shinydashboardPlus::box' by
#> 'shinydashboard::box' when loading 'unhcrdatapackage'Below is the library with all Country Focused questions organised around the 7 key questions!
1. Category
Plot Tree Map of Categories
#
plot_ctr_treemap(year = 2021,
country_asylum_iso3c = "USA",
pop_type = c("REF", "ASY")
)
Plot Population Type Over Year
p <- plot_ctr_population_type_per_year(
year = 2022,
country_asylum_iso3c = "PAN",
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 = 2020,
country_asylum_iso3c = "USA",
top_n_countries = 4,
pop_type = "REF",
show_diff_label = FALSE
)
#> Warning: There was 1 warning in `mutate()`.
#> ℹ In argument: `origin_data_prot = forcats::fct_explicit_na(origin_data_prot,
#> "Other nationalities")`.
#> Caused by warning:
#> ! `fct_explicit_na()` was deprecated in forcats 1.0.0.
#> ℹ Please use `fct_na_value_to_level()` instead.
#> ℹ The deprecated feature was likely used in the unhcrdatapackage package.
#> Please report the issue at
#> <https://github.com/edouard-legoupil/unhcrdatapackage/issues>.
## Same with 9 top countries and Asylum-seekers included
plot_ctr_population_type_abs(year = 2020,
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 = 2021,
country_asylum_iso3c = "BRA",
top_n_countries = 9,
pop_type = "REF" ) 
plot_ctr_population_type_perc(year = 2021,
country_asylum_iso3c = "BRA",
top_n_countries = 9,
pop_type = "ASY" ) 
Plot Increases and Decreases in Population Groups
#
plot_ctr_diff_in_pop_groups(year = 2022,
country_asylum_iso3c = "ROU",
pop_type = c("REF", "ASY")
)
#> Warning: Returning more (or less) than 1 row per `summarise()` group was deprecated in
#> dplyr 1.1.0.
#> ℹ Please use `reframe()` instead.
#> ℹ When switching from `summarise()` to `reframe()`, remember that `reframe()`
#> always returns an ungrouped data frame and adjust accordingly.
#> ℹ The deprecated feature was likely used in the unhcrdatapackage package.
#> Please report the issue at
#> <https://github.com/edouard-legoupil/unhcrdatapackage/issues>.
#> This warning is displayed once every 8 hours.
#> Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
#> generated.
Plot Origin History
plot_ctr_origin_history(year = 2022,
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 = 2021,
country_origin_iso3c = "COL",
pop_type = c("REF", "ASY")
)
plot recognition rate for a nationality
plot_ctr_origin_recognition(year = 2022,
country_origin_iso3c = "VEN",
top_n_countries = 10,
measure = "RefugeeRecognitionRate",
order_by = "TotalDecided" )
4. Profile
Plot Age Pyramid
#
plot_ctr_pyramid(year = 2022,
country_asylum_iso3c = "COL",
pop_type = c("ASY", "REF")
)
Plot locations within countries
# plot_ctr_location(year = 2022,
# country_asylum_iso3c = "COL",
# pop_type = c("ASY", "REF", "OIP"))
#
# plot_ctr_location(year = 2021,
# country_asylum_iso3c = "COL",
# pop_type = c("IDP"))
#
# plot_ctr_location(year = 2022,
# country_asylum_iso3c = "CAN",
# pop_type = c("ASY", "REF", "OIP"))
#
# plot_ctr_location(year = 2021,
# country_asylum_iso3c = "MEX",
# pop_type = c("ASY", "REF", "OIP"))5. Processing
Plot Refugee Recognition rate in Country
plot_ctr_recognition(year = 2022,
country_asylum_iso3c = "USA",
top_n_countries = 10,
measure = "RefugeeRecognitionRate",
order_by = "TotalDecided" )
Asylum Applications & Decision over time
plot_ctr_asylum(year = 2022,
country_asylum_iso3c = "ECU",
lag = 10)
#> Joining with `by = join_by(Year, CountryAsylumCode)`
Asylum Processing
plot_ctr_process(year = 2022, country_asylum_iso3c = "BOL")
plot_ctr_process(year = 2022, country_asylum_iso3c = "CHL")
plot_ctr_process(year = 2022, country_asylum_iso3c = "USA",
otherprop = .02)
plot_ctr_process(year = 2022, country_asylum_iso3c = "USA",
otherprop = .04)
Average Asylum Processing Time
plot_ctr_processing_time(year = 2022,
country_asylum_iso3c = "ARG")
#> Joining with `by = join_by(Year, CountryAsylumCode)`
plot_ctr_processing_time(year = 2022,
country_asylum_iso3c = "USA")
#> Joining with `by = join_by(Year, CountryAsylumCode)`
## Display a filtered version of the chart for a specific country and procedure
plot_ctr_processing_time(year = 2022,
country_asylum_iso3c = "EGY",
country_origin_iso3c = "ERI",
procedureType = "U")
#> Joining with `by = join_by(Year, CountryAsylumCode)`
6. Solutions
Plot Solution Over time
plot_ctr_solution(year = 2021,
country_asylum_iso3c= "UGA",
lag = 10,
sol_type = c("NAT", "RST", "RET", "RDP"))
Plot Solution Over Recognition
plot_ctr_solution_recognition(year = 2022,
country_asylum_iso3c= "UGA",
lag = 10)
#> `geom_braid()` using method = 'line'
7.Migrant
Plot Ratio Refugee Migrant
plot_ctr_disp_migrant(year = 2022,
country_asylum_iso3c = "MEX" ,
top_n_countries = 10)
# plot_ctr_disp_migrant(year = 2022,
# country_asylum_iso3c = "FRA" )