# Load necessary library
library(ggplot2)
library(tidyverse)

## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr     1.1.4     ✔ readr     2.1.4
## ✔ forcats   1.0.0     ✔ stringr   1.5.1
## ✔ lubridate 1.9.3     ✔ tibble    3.2.1
## ✔ purrr     1.0.2     ✔ tidyr     1.3.0
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag()    masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors

# Set seed for reproducibility
set.seed(123)

# Create a dummy dataset
dummy_data <- data.frame(
  Category = rep(c("A", "B", "C"), each = 100),
  Value = rnorm(300)
)

# Calculate percentage for each category
percentage_data <- dummy_data %>%
  group_by(Category) %>%
  summarise(Percentage = mean(Value))

# Create a bar plot with percentages inside the bars
ggplot(dummy_data, aes(x = Category, y = Value, fill = Category)) +
  geom_bar(stat = "identity") +
  geom_text(data = percentage_data, aes(label = scales::percent(Percentage), y = Percentage), 
            position = position_stack(vjust = 0.5)) +
  labs(title = "Percentage of Each Category Inside Bars", y = "Value", x = "Category") +
  theme_minimal()