I would like to plot something like the image below but I have an error of "stat_count() can only have an x or y aesthetic.". So I change it to stat="identity". But the outcome is not the same as the example I found online.
Example found online:
example is found from: https://sebastiansauer.github.io/percentage_plot_ggplot2_V2/
My code
geom_bar(aes(y=pct_change, fill=factor(Year)), stat="count")+
geom_text(aes( label = scales::percent(pct_change),
y= pct_change ), stat= "count", vjust = -.5) +
ylab("Avg Unit Price") +
facet_grid(~Type.of.Sale) +
scale_y_continuous(labels = scales::percent)
Here is an example with the mtcars
dataset how you could achieve your task:
library(tidyverse)
ggplot(mtcars, aes(x = cyl, group=am))+
geom_bar(aes(y=..prop.., fill=factor(..x..)), stat="count")+
geom_text(aes( label = scales::percent(..prop..),
y= ..prop..), stat= "count", vjust = -.5) +
ylab("Avg Unit Price") +
facet_grid(~am) +
scale_y_continuous(labels = scales::percent)
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