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Get OECD DAC1 Official Development Assistance (ODA) data

Source: R/oda_get_dac1.R
oda_get_dac1.Rd

Retrieves data from the OECD DAC1 dataset using specified filters, years, and optional pre-processing.

Usage

oda_get_dac1(
  start_year = NULL,
  end_year = NULL,
  filters = NULL,
  pre_process = TRUE
)

Arguments

start_year

Integer. The starting year of the data query. If NULL, no lower bound is set. Defaults to NULL.

end_year

Integer. The ending year of the data query. If NULL, no upper bound is set. Defaults to NULL.

filters

List. A named list of filters to apply (e.g., donor codes, easure, flow type, unit measure, price base). Values must match OECD dotstat codes.

pre_process

Logical. Whether to clean and rename columns into a standard format. If FALSE, returns raw output. Defaults to TRUE.

Value

A data frame containing OECD DAC1 data

Examples

# \donttest{
oda_get_dac1(
  start_year = 2018,
  end_year = 2022,
  filters = list(
    donor = c("FRA", "USA"),
    measure = 11017,
    flow_type = 1160,
    unit_measure = "XDC",
    price_base = "V"
  )
)
#> # A tibble: 5 × 14
#>   entity_id entity_name series_id series_name  flow_type_id flow_type_name  year
#>   <chr>     <chr>           <int> <chr>               <int> <chr>          <int>
#> 1 FRA       France          11017 Bilateral l…         1160 Grant equival…  2018
#> 2 FRA       France          11017 Bilateral l…         1160 Grant equival…  2020
#> 3 FRA       France          11017 Bilateral l…         1160 Grant equival…  2019
#> 4 FRA       France          11017 Bilateral l…         1160 Grant equival…  2022
#> 5 FRA       France          11017 Bilateral l…         1160 Grant equival…  2021
#> # ℹ 7 more variables: value <dbl>, unit_measure_id <chr>,
#> #   unit_measure_name <chr>, price_base_id <chr>, price_base_name <chr>,
#> #   unit_multiplier_id <int>, unit_multiplier_name <chr>
# }