knitr::opts_chunk$set( collapse = TRUE, comment = "#>" )
library(cwdata) library(tidyverse)
key_crop_yields %>% filter(year == 2017) %>% group_by(crop) %>% summarise(tonnes_per_hectare = sum(tonnes_per_hectare, na.rm = TRUE)) %>% ggplot(aes(fct_reorder(crop,tonnes_per_hectare, .desc = TRUE), y = tonnes_per_hectare))+ geom_col()+ labs(x = "Crop", y = "Tonnes per hectare", title = "Global crop production")
The most produced crop in the world is potatoes!
key_crop_yields %>% group_by(year,crop) %>% summarise(tonnes_per_hectare = sum(tonnes_per_hectare, na.rm = TRUE)) %>% ggplot(aes(x = year, y = tonnes_per_hectare, color = crop))+ geom_line()+ theme_bw()+ labs(y = "Tonnes per hectare", x = "Crop", title = "Global crop production")
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