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# Load ggplot2
library(ggplot2)

# Create data
data <- data.frame(
  name=c("社團類型","娛樂休閒","知識閱讀","體育競技","科學創新") ,  
  fre=c(185,82,36,28,25)
  )

# Barplot
ggplot(data, aes(x=name, y=fre)) + 
  geom_bar(stat = "identity", width=0.2 , col="green") 

# Create Data
Prop <- c(3,7,9,1,2)
# You can also custom the labels:
pie(Prop , labels = c("Gr-A","Gr-B","Gr-C","Gr-D","Gr-E"))

# Library
library(tidyverse)

## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr     1.1.4     ✔ readr     2.1.5
## ✔ forcats   1.0.0     ✔ stringr   1.5.1
## ✔ lubridate 1.9.4     ✔ tibble    3.2.1
## ✔ purrr     1.0.4     ✔ tidyr     1.3.1
## ── 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

# Create data
data <- data.frame(
  x=LETTERS[1:26],
  y=abs(rnorm(26))
)
 
# plot
ggplot(data, aes(x=x, y=y)) +
  geom_segment( aes(x=x, xend=x, y=0, yend=y)) +
  geom_point( size=5, color="red", fill=alpha("orange", 0.3), alpha=0.7, shape=21, stroke=2)