Grouped stacked bar chart in R - r

Question

I have the following dataset (in file emp1.txt and I would like to draw a grouped bar chart based on age range and also I would like to make stacked options for Male and Female for each group.
Count Male Female Emp_group
38 10 28 Staff
38 20 18 Teacher
33 15 18 Teacher
34 17 17 Teacher
41 35 6 Staff
45 25 20 Teacher
35 17 18 Staff
39 30 9 Staff
39 9 30 Teacher
44 22 22 Staff
42 20 22 Teacher
This is what I have tried, but not able to figure out the stacked portion. I would appreciate any help. Both the red and green bars should be divided into two parts for Male and Female respectively. Also I would like to put color description for Male and Female in the legends.
data <- read.csv("emp1.txt", sep = "\t" , header = TRUE)
df1<-tibble(data)
df1<- mutate(df1, emp_class = cut(Count, breaks = c(0, 30, 40, 50, 60, 100),
labels = c('(0-30)', '(31-40)', '(41-50)', '(51-60)', '(61-100)')))
df1 <- df1 %>%
group_by(Emp_group) %>%
add_count()
df1 <- mutate(df1, x_axis = paste(Emp_group, n, sep = "\n"))
my_ggp <- ggplot(df1, aes(x=as.factor(x_axis), fill=as.factor(emp_class)))+
geom_bar(aes( y=..count../tapply(..count.., ..x.. ,sum)[..x..]*100), position="dodge") + ylab('% Employes') +xlab("") + labs(fill = "Count group")
df1
my_ggp + theme(text = element_text(size = 20))

Answer 1

You need position = "stack" instead of "dodge".
I reorganised your code slightly:
library(ggplot2)
library(dplyr)
data %>%
mutate(emp_class = cut(Count,
breaks = c(0, 30, 40, 50, 60, 100),
labels = c('(0-30)', '(31-40)', '(41-50)', '(51-60)', '(61-100)')
)
) %>%
pivot_longer(c(Male, Female),
names_to = "MF") %>%
group_by(Emp_group, MF) %>%
add_count() %>%
mutate(x_axis = as.factor(paste(Emp_group, n, sep = "\n"))) %>%
ggplot(aes(x = x_axis, fill = as.factor(emp_class))) +
geom_bar(aes(y = value),
position = "fill",
stat = "identity") +
labs(x = "", y = "% Employes", fill = "Age group") +
theme(text = element_text(size = 20)) +
facet_wrap(~MF) +
scale_y_continuous(labels = scales::percent_format())
This returns
Data
structure(list(Count = c(38, 38, 33, 34, 41, 45, 35, 39, 39,
44, 42), Male = c(10, 20, 15, 17, 35, 25, 17, 30, 9, 22, 20),
Female = c(28, 18, 18, 17, 6, 20, 18, 9, 30, 22, 22), Emp_group = c("Staff",
"Teacher", "Teacher", "Teacher", "Staff", "Teacher", "Staff",
"Staff", "Teacher", "Staff", "Teacher")), class = c("spec_tbl_df",
"tbl_df", "tbl", "data.frame"), row.names = c(NA, -11L), spec = structure(list(
cols = list(Count = structure(list(), class = c("collector_double",
"collector")), Male = structure(list(), class = c("collector_double",
"collector")), Female = structure(list(), class = c("collector_double",
"collector")), Emp_group = structure(list(), class = c("collector_character",
"collector"))), default = structure(list(), class = c("collector_guess",
"collector")), skip = 1L), class = "col_spec"))