Code
age_population(data = world_data, location_col = country, location = c("Asia",
"Afghanistan"), age_col = lower.age.limit, year_col = year, year = c(2010:
2020))
Output
# A tibble: 42 x 5 (conmat_population)
- age: lower.age.limit
- population: population
country year population lower.age.limit upper.age.limit
<chr> <int> <dbl> <dbl> <dbl>
1 Afghanistan 2010 5199366 0 4
2 Afghanistan 2015 5239401 0 4
3 Afghanistan 2010 4662577 5 9
4 Afghanistan 2015 5141850 5 9
5 Afghanistan 2010 3905430 10 14
6 Afghanistan 2015 4642280 10 14
7 Afghanistan 2010 3025604 15 19
8 Afghanistan 2015 3944912 15 19
9 Afghanistan 2010 2450674 20 24
10 Afghanistan 2015 3117448 20 24
# i 32 more rows
Code
age_population(data = world_data, location_col = country, location = "Afghanistan",
age_col = lower.age.limit)
Output
# A tibble: 294 x 5 (conmat_population)
- age: lower.age.limit
- population: population
country year population lower.age.limit upper.age.limit
<chr> <int> <dbl> <dbl> <dbl>
1 Afghanistan 1950 1291622 0 4
2 Afghanistan 1955 1355054 0 4
3 Afghanistan 1960 1539494 0 4
4 Afghanistan 1965 1762117 0 4
5 Afghanistan 1970 2025591 0 4
6 Afghanistan 1975 2326731 0 4
7 Afghanistan 1980 2484405 0 4
8 Afghanistan 1985 2276913 0 4
9 Afghanistan 1990 2377868 0 4
10 Afghanistan 1995 3325482 0 4
# i 284 more rows
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