The goal of cwdata2 is to provide datasets and functions for use in the ETC5523 ‘Communicating with Data’ course.
The development version can be installed from GitHub with:
# install.packages("devtools")
devtools::install_github("prigrecov/cwdata2")
This is a basic example which shows you how to solve a common problem:
library(cwdata2)
library(tibble)
key_crop_yields
#> # A tibble: 143,825 x 5
#> country code year crop tonnes_per_hectare
#> <chr> <chr> <dbl> <chr> <dbl>
#> 1 Afghanistan AFG 1961 wheat 1.02
#> 2 Afghanistan AFG 1961 rice 1.52
#> 3 Afghanistan AFG 1961 maize 1.4
#> 4 Afghanistan AFG 1961 soybeans NA
#> 5 Afghanistan AFG 1961 potatoes 8.67
#> 6 Afghanistan AFG 1961 beans NA
#> 7 Afghanistan AFG 1961 peas NA
#> 8 Afghanistan AFG 1961 cassava NA
#> 9 Afghanistan AFG 1961 barley 1.08
#> 10 Afghanistan AFG 1961 cocoa NA
#> # … with 143,815 more rows
n_countries(key_crop_yields)
#> [1] 249
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