I've a column of a dataset like : [1, 2, 1, 1, 1, 1, 2, 2, ...] where 1 is male and 2 female.
What I want is to create a plot like the one in the pictures but I couldn't.
ggplot( aes(x=age)) +
geom_density(fill="#69b3a2", color="#e9ecef", alpha=0.8)
I don't know how to put instead of the range [-0.5, 0.5] for male, indicates male, and [0.5, 1.5] female.
The x-axis is a numeric value because you are passing a numeric vector. Converting it to a character vector is probably the easiest approach.
library(ggplot2)
library(dplyr)
# Original data
df <- data.frame(gender = c(1, 2, 1, 1, 1, 1, 2, 2))
# Convert to character
df <- df %>% mutate(Gender = case_when(gender == 1 ~ "Male",
gender == 2 ~ "Female"))
# Plot
ggplot(df, aes(x = Gender)) +
geom_bar() +
ggtitle("Gender")
