Statistic

age <- c(20,21,23,55,67,52)

high <- c(155,160,170,175,175,180)


mean(age) #平均數

## [1] 39.66667

Q1 <- quantile(age, 1 / 4) 
Q2 <- quantile(age, 2 / 4) 

median(age)

## [1] 37.5

Q1

##  25% 
## 21.5

Q2

##  50% 
## 37.5

plot(age,high)

plot(age,high,
     pch = 17,
     col= "skyblue",
     main ="班上的體重與身高",
     xlab ="體重",
     ylab ="身高")

hist(age,
     col= "lightyellow",
     main ="班上的體重與身高",
     xlab ="體重",
     ylab ="次數")

library(ggplot2)


# Create data
data2 <- data.frame(
  name=c("王曉明","B","C") ,  
  value=c(50,55,63)
  )

ggplot(data2, aes(x=name, y=value)) + 
  geom_bar(stat = "identity", width=0.2,  fill="skyblue") 

data<- c(50,23,35,48,23)
labels <- c("英文系","法文系","德文","翻譯")

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