Note: This R package is not mean to be "serious". It's just to show you are kinda cool and you can develop simple packages 😎.
This is an R package that has extended the gapminder dataset. This package also has included a simple subset_country() function which returns the mini dataset that was required for as many countries possible.
You can install gapminderplus from github with:
# install.packages("devtools")
devtools::install_github("zeeva85/gapminderplus")library(gapminderplus)
head(gapminder2)
country continent year lifeExp pop gdpPercap meanSchool
1 Afghanistan Asia 1972 36.088 13079460 739.9811 1.1
2 Afghanistan Asia 1977 38.438 14880372 786.1134 1.4
3 Afghanistan Asia 1982 39.854 12881816 978.0114 1.8
4 Afghanistan Asia 1987 40.822 13867957 852.3959 2.1
5 Afghanistan Asia 1992 41.674 16317921 649.3414 2.3
6 Afghanistan Asia 1997 41.763 22227415 635.3414 2.6
tail(gapminder3)
country continent year lifeExp pop gdpPercap meanSchool infantMortality
519 Zambia Africa 2002 39.193 10595811 1071.6139 7.9 86.5
520 Zambia Africa 2007 42.384 11746035 1271.2116 8.0 61.3
521 Zimbabwe Africa 1992 60.377 10704340 693.4208 8.4 54.5
522 Zimbabwe Africa 1997 46.809 11404948 792.4500 9.0 62.7
523 Zimbabwe Africa 2002 39.989 11926563 672.0386 9.6 62.7
524 Zimbabwe Africa 2007 43.487 12311143 469.7093 10.0 59.9
......
subset_country2() # Notice country format, Caps followed by lowercase, empty value ends prompt
#> [1] country continent year lifeExp
#> [5] pop gdpPercap meanSchool infantMortality
#> <0 rows> (or 0-length row.names)
subset_country() # Notice country format, Caps followed by lowercase, empty value ends prompt
#> [1] country continent year lifeExp pop gdpPercap
#> [7] meanSchool
#> <0 rows> (or 0-length row.names)# 1: Japan
# 2: # Notice country format, Caps followed by lowercase, empty value ends prompt
# Read 1 item
country continent year lifeExp pop gdpPercap meanSchool
1 Japan Asia 1972 73.420 107188273 14778.79 10.4
2 Japan Asia 1977 75.380 113872473 16610.38 11.0
3 Japan Asia 1982 77.110 118454974 19384.11 11.5
4 Japan Asia 1987 78.670 122091325 22375.94 12.0
5 Japan Asia 1992 79.360 124329269 26824.90 12.5
6 Japan Asia 1997 80.690 125956499 28816.58 12.9
7 Japan Asia 2002 82.000 127065841 28604.59 13.2
8 Japan Asia 2007 82.603 127467972 31656.07 13.5
(Again, I don't actually intend for anyone to develop this silly and cool package, but if I did, here's what I'd write.)
Develop the subset function to accept values within its function and console. Add additional dataset available in the data-raw folder to the gapminder2 dataset.