Untitled

we <- c(68,85,74,88,63,78,90,80,58,63)

we2 <- c(85,91,74,100,82,84,78,100,51,70)



plot(we,we2,
     pch = 17,
     col= "skyblue",
     main ="班上的成績",
     xlab ="Statistic",
     ylab ="Math")

we <- c(50,60,70,80,90,100)

we2 <- c(0,5,10)

hist(we,
     col= "lightyellow",
     main ="班上的數學成績",
     xlab ="分數",
     ylab ="人數")

# Load ggplot2
library(ggplot2)
# Load ggplot2
library(ggplot2)

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

# Barplot
ggplot(data, aes(x=社團名稱, y=次數)) + 
  geom_bar(stat = "identity", width=0.2,  fill="skyblue")

data<- c(185,82,36,28,25)
labels <- c("娛樂休閒","知識閱讀","體育競技","科學創新","公益活動")

pie(data,labels,main ="學生的比例", col=heat.colors(length(data)))

# 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 data2
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)