knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.width=6.5, fig.height=5 )
library(cwdata)
This package provides the key_crop_yields
dataset,which contains crop yields for countries over time.The yields are measured in tonnes per hectare for r length(unique(key_crop_yields$crop))
crops(r glue::glue_collapse(unique(key_crop_yields$crop),sep = ", ", last = " and ")
).This data is sourced from Our World in Data and Tidy Tuesday.
It can be assessed via:
library(cwdata) library(tibble) ## show just first 10 rows not all rows key_crop_yields
Crop production in Australia:
library(ggplot2) library(dplyr) key_crop_yields%>% filter(country=="Australia")%>% ggplot(aes(x=year,y=tonnes_per_hectare))+ geom_line()+ facet_wrap(vars(crop),scales="free_y")+ labs(y="Tonnes per hectare", x="Times in years", title="Australian crop production over time")+ theme_bw()
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