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 1.7
#> 2 2 Austria 40 Incomplete Primary 2020-2025 1.7
#> 3 2 Austria 40 Primary 2020-2025 1.7
#> 4 2 Austria 40 Lower Secondary 2020-2025 1.7
#> 5 2 Austria 40 Upper Secondary 2020-2025 1.5
#> 6 2 Austria 40 Post Secondary 2020-2025 1.3
#> 7 2 Austria 40 No Education 2025-2030 1.7
#> 8 2 Austria 40 Incomplete Primary 2025-2030 1.7
#> 9 2 Austria 40 Primary 2025-2030 1.7
#> 10 2 Austria 40 Lower Secondary 2025-2030 1.7
#> # ℹ 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: 310 × 6
#> scenario name country_code year education pop
#> <dbl> <fct> <dbl> <dbl> <fct> <dbl>
#> 1 2 Iran (Islamic Republic of) 364 1950 Under 15 6086.
#> 2 2 Iran (Islamic Republic of) 364 1950 No Education 8854.
#> 3 2 Iran (Islamic Republic of) 364 1950 Primary 1444.
#> 4 2 Iran (Islamic Republic of) 364 1950 Secondary 236.
#> 5 2 Iran (Islamic Republic of) 364 1950 Post Secondary 21.5
#> 6 2 Iran (Islamic Republic of) 364 1955 Under 15 7289.
#> 7 2 Iran (Islamic Republic of) 364 1955 No Education 9328
#> 8 2 Iran (Islamic Republic of) 364 1955 Primary 1620
#> 9 2 Iran (Islamic Republic of) 364 1955 Secondary 368.
#> 10 2 Iran (Islamic Republic of) 364 1955 Post Secondary 44.5
#> # ℹ 300 more rows
# SSP1, 2 and 3 gender gaps in educational attainment (15+) for all countries
get_wcde(indicator = "ggapedu15", scenario = 1:3)
#> # A tibble: 167,274 × 6
#> scenario name country_code year education ggapedu15
#> <int> <chr> <dbl> <dbl> <chr> <dbl>
#> 1 1 Bulgaria 100 1950 Under 15 0.8
#> 2 1 Myanmar 104 1950 Under 15 1.1
#> 3 1 Burundi 108 1950 Under 15 1.8
#> 4 1 Belarus 112 1950 Under 15 6.1
#> 5 1 Cambodia 116 1950 Under 15 0.7
#> 6 1 Algeria 12 1950 Under 15 0
#> 7 1 Cameroon 120 1950 Under 15 1
#> 8 1 Canada 124 1950 Under 15 0.2
#> 9 1 Cape Verde 132 1950 Under 15 5.9
#> 10 1 Central African Republic 140 1950 Under 15 0.8
#> # ℹ 167,264 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.
