Untitled

 人數<- c(2,4,6,8,10)

Statistic<- c(60,70,80,90,100)


plot(人數,Statistic,
     pch=23,
     col="green",
     xlab="人數",
     ylab="Statistic",
     main="班級的統計成績")

 人數<- c(2,4,6,8,10)

Math<- c(65,70,75,80,85)


plot(人數,Math,
     pch=23,
     col="green",
     xlab="人數",
     ylab="Math",
     main="班級的數學成績")

abc<-c(68,85,74,88,63,78,90,80,58,63)
hist(abc,
     col= "red",
     main ="統計成績",
     xlab ="Statistic",
     ylab ="")

library("ggplot2")
data2 <- data.frame(
  name=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)
  )
ggplot(data2, aes(x=name, y=次數)) + 
  geom_bar(stat = "identity", width=0.2,  fill="lightblue")

labels<- c("娛樂休閒","知識閱讀","體育競技","科學創新","公益活動")  
 data<- c(185,82,36,28,25)
  pie(data,labels,main ="大學生最喜歡參加的社團",col=cm.colors(length(data)))

Deutsch<-c(84,63,61,49,89,51,59,53,79,91)

stem(Deutsch)

## 
##   The decimal point is 1 digit(s) to the right of the |
## 
##   4 | 9
##   5 | 139
##   6 | 13
##   7 | 9
##   8 | 49
##   9 | 1

Deutsch<-c(84,63,61,49,89,51,59,53,79,91)

mean(Deutsch)

## [1] 67.9

median(Deutsch)

## [1] 62

as.numeric(names(table(Deutsch)))[which.max(table(Deutsch))] 

## [1] 49

sd(Deutsch)

## [1] 16.25115

var(Deutsch)

## [1] 264.1

Q1 <- quantile(Deutsch,1/4) 
print(Q1)

##  25% 
## 54.5

Q3 <- quantile(Deutsch,3/4) 
print(Q3)

##   75% 
## 82.75