What are the most funded sectors per country (Expenditure evolution per impact /outcome area)?
Usage
show_sectors(
year,
programme_lab = NULL,
iati_identifier_ops = NULL,
ctr_name = NULL,
sector_vocabulary_name = "Reporting Organisation 2"
)
Arguments
- year
A numeric value or a list of value.
- programme_lab
A character vector corresponding to the name of the programme.
- iati_identifier_ops
A character vector corresponding to the name of the operation.
- ctr_name
A character vector corresponding to the name of the country.
- sector_vocabulary_name
sector_vocabulary
Examples
knitr::kable( iati::dataSector |>
dplyr::select( sector_vocabulary_name, sector_vocabulary_description) |>
dplyr::distinct() |>
dplyr::filter(!(is.na(sector_vocabulary_name))))
#>
#>
#> |sector_vocabulary_name |sector_vocabulary_description |
#> |:--------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------|
#> |Reporting Organisation |The sector reported corresponds to a sector vocabulary maintained by the reporting organisation for this activity |
#> |OECD DAC CRS Purpose Codes (5 digit) |The sector reported corresponds to an OECD DAC CRS 5-digit purpose code |
#> |Humanitarian Global Clusters (Inter-Agency Standing Committee) |The sector reported corresponds to an Inter-Agency Standard Committee Humanitarian Global Cluster code |
#> |Reporting Organisation 2 |The sector reported corresponds to a sector vocabulary maintained by the reporting organisation for this activity (if they are referencing more than one) |
show_sectors(
year = c(2020, 2021, 2022),
ctr_name = "Brazil",
sector_vocabulary_name = "Reporting Organisation")
show_sectors(
year = 2022,
ctr_name = "Brazil",
sector_vocabulary_name = "Reporting Organisation 2")
show_sectors(
year = c(2020, 2021, 2022),
ctr_name = "Brazil",
sector_vocabulary_name = "Reporting Organisation 2")
show_sectors(
year = c(2017,2018,2019,2020,2021, 2022),
ctr_name = "Brazil",
sector_vocabulary_name = "Humanitarian Global Clusters (Inter-Agency Standing Committee)")
show_sectors(
year = c(2017,2018,2019,2020,2021, 2022),
ctr_name = "Brazil",
sector_vocabulary_name = "OECD DAC CRS Purpose Codes (5 digit)")