Download data from the Wittgenstein Centre for Demography and Human Capital Data Explorer into R
See the pkgdown site for full details.
Installation
You can install the released version of wcde from CRAN with:
install.packages("wcde")Install the developmental version with:
library(devtools)
install_github("guyabel/wcde", ref = "main")Example
Download data based on a indicator, scenario and country code:
library(wcde)
#> Suggested citation for data:
#> Wittgenstein Centre for Demography and Global Human Capital (WIC) Wittgenstein Centre Data Explorer. Version 3.0 (Beta), 2023
# SSP2 education specific tfr for Austria
get_wcde(indicator = "etfr", country_name = "Austria")
#> # A tibble: 96 × 6
#> scenario name country_code education period etfr
#> <dbl> <chr> <dbl> <chr> <chr> <dbl>
#> 1 2 Austria 40 No Education 2020-2025 1.70
#> 2 2 Austria 40 Incomplete Primary 2020-2025 1.70
#> 3 2 Austria 40 Primary 2020-2025 1.70
#> 4 2 Austria 40 Lower Secondary 2020-2025 1.70
#> 5 2 Austria 40 Upper Secondary 2020-2025 1.46
#> 6 2 Austria 40 Post Secondary 2020-2025 1.33
#> 7 2 Austria 40 No Education 2025-2030 1.70
#> 8 2 Austria 40 Incomplete Primary 2025-2030 1.70
#> 9 2 Austria 40 Primary 2025-2030 1.70
#> 10 2 Austria 40 Lower Secondary 2025-2030 1.70
#> # … with 86 more rows
# SSP2 education specific population sizes for Iran and Kenya
get_wcde(indicator = "pop", country_code = c(364, 404), pop_edu = "four")
#> # A tibble: 170 × 6
#> scenario name country_code year education pop
#> <dbl> <fct> <dbl> <dbl> <fct> <dbl>
#> 1 2 Iran (Islamic Republic of) 364 2020 Under 15 20934.
#> 2 2 Iran (Islamic Republic of) 364 2020 No Education 8397.
#> 3 2 Iran (Islamic Republic of) 364 2020 Primary 14412.
#> 4 2 Iran (Islamic Republic of) 364 2020 Secondary 32781.
#> 5 2 Iran (Islamic Republic of) 364 2020 Post Secondary 10465.
#> 6 2 Iran (Islamic Republic of) 364 2025 Under 15 20522.
#> 7 2 Iran (Islamic Republic of) 364 2025 No Education 7559.
#> 8 2 Iran (Islamic Republic of) 364 2025 Primary 14236.
#> 9 2 Iran (Islamic Republic of) 364 2025 Secondary 36161.
#> 10 2 Iran (Islamic Republic of) 364 2025 Post Secondary 12214.
#> # … with 160 more rows
# SSP1, 2 and 3 gender gaps in educational attainment (15+) for all countries
get_wcde(indicator = "ggapedu15", scenario = 1:3)
#> # A tibble: 69,768 × 6
#> scenario name country_code year education ggapedu15
#> <int> <chr> <dbl> <dbl> <chr> <dbl>
#> 1 1 Bulgaria 100 2020 No Education -4.33e-3
#> 2 1 Myanmar 104 2020 No Education -3.42e-2
#> 3 1 Burundi 108 2020 No Education 1.22e-1
#> 4 1 Belarus 112 2020 No Education -5.71e-4
#> 5 1 Cambodia 116 2020 No Education -9.23e-2
#> 6 1 Algeria 12 2020 No Education -1.41e-1
#> 7 1 Cameroon 120 2020 No Education -9.23e-2
#> 8 1 Canada 124 2020 No Education -5.58e-7
#> 9 1 Cape Verde 132 2020 No Education 1.75e-2
#> 10 1 Central African Republic 140 2020 No Education -2.60e-1
#> # … with 69,758 more rowsVignette
The vignette provides many more examples on how to use the package to download data and produce plots from the Wittgenstein Centre Human Capital Data Explorer.
