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⬅️ Previous capture (2021-12-04)
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library(ggplot2) library(scales) library(tidyr) library(dplyr) vegetable_consumption <- read.csv("./DATA/20-vegetable-consumption-per-capita.csv") colnames(vegetable_consumption) <- c("Country","Code","Year","Vegetables") ### Worldwide vegetable Consumption per Capita vegetable_consumption %>% filter(Country == "World") %>% ggplot() + geom_line(aes(x=Year,y=Vegetables)) + scale_y_continuous(labels=comma) + labs(title="Worldwide Vegetable Consumption Per Capita by Year", subtitle = "(1961 - 2017)", y="Kilogram/Person/Year") ## Top Five Countreis with hight per cap consumption vegie_top <- vegetable_consumption %>% filter(Year =="2017") %>% top_n(5,Vegetables) vegie_top <- as.data.frame(vegie_top) ggplot(vegie_top) + geom_col(aes(x=reorder(Country,Vegetables),y=Vegetables)) + coord_flip() + labs(title="Top Five Countries Rata by Per Capita Consumption") ### Plot Bottom Five Countries by Per Capita Consumption vegie_bottom <- vegetable_consumption %>% filter(Year =="2017") %>% top_n(-5,Vegetables) vegie_bottom <- as.data.frame(vegie_bottom) ggplot(vegie_bottom) + geom_col(aes(x=reorder(Country,Vegetables),y=Vegetables)) + coord_flip() + labs(title="Bottom Five Countries Rata by Per Capita Consumption")
Bottom Five Countries Per capita
worldwide Veggie Consumption (per Capita).
R Language and Rtools40 (click and "base" and "Rtools")
https://github.com/davidjayjackson/OWID-diet-vegetable-fruit/issues