Dataset: data
| Region | Forest | Lakes |
|---|---|---|
| North | 30 | 40 |
| West | 40 | 100 |
| South | 12 | 30 |
| Central | 44 | 200 |
data %>%
ggplot(aes(x = Region, y = Forest)) +
geom_col() +
facet_wrap(~Lakes) + ggtitle("Lakes and Forest in different Regions")
Unfortunately this is not the right thing.
I would like to show for each region how much lakes and forests they have and then the nearest region in x-axis. How does it work?
>Solution :
Reshape to ‘long’ format with pivot_longer and then use geom_col with position='dodge'
library(dplyr)
library(tidyr)
library(ggplot2)
data %>%
pivot_longer(cols = Forest:Lakes) %>%
ggplot(aes(x = Region, y = value, fill = name)) +
geom_col(position = 'dodge') +
ggtitle("Lakes and Forest in different Regions")