Untitled

statisti <- c(68,85,74,88,63,78,90,80,58,63)
math <- c(85,91,74,100,82,84,78,100,51,70)
colors <- c("#FDAE61", # Orange
            "#D9EF8B") # Light green
plot(statisti, math,
     pch = 19,
     col = colors)

hist(math, 
     freq = FALSE,    
     main = "time histogram",
     xlab = "time")

# Load ggplot2
library(ggplot2)

# Create data
data <- data.frame(
  name=c("娛樂休閒","知識閱讀","體育競技","科學創新","公益活動") ,  
  value=c(185,82,36,28,25)
  )

# Barplot
ggplot(data, aes(x=name, y=value)) +  
  geom_bar(stat = "identity") 

# Create Data
Prop <- c(185,82,36,28,25)
 
# Make the default Pie Plot
pie(Prop)

# Library
library(tidyverse)

## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr     1.1.4     ✔ readr     2.1.5
## ✔ forcats   1.0.1     ✔ stringr   1.6.0
## ✔ lubridate 1.9.4     ✔ tibble    3.3.0
## ✔ purrr     1.2.0     ✔ 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

# plot
ggplot(data, aes(x=name, y=value)) +
  geom_segment( aes(x=name, xend=name, y=0, yend=value)) +
  geom_point( size=5, color="red", fill=alpha("orange", 0.3), alpha=0.7, shape=21, stroke=2)