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

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

plot(Statistic,Math,
     pch=19,
     col="yellow",
     xlab="統計成績",
     ylab="數學成績",
     main="統計成績、數學成績")

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

hist(Math,
     col= "lightblue",
     main ="數學成績",
     xlab ="成績",
     ylab ="次數")

library("ggplot2")

data <- data.frame(
  社團類型編碼=c("公益娛樂","科學創新","體育競技","知識閱讀","休閒娛樂") ,  
  次數=c(25,28,36,82,185)
  )

ggplot(data, aes(x=社團類型編碼, y=次數)) + 
  geom_bar(stat = "identity") +
  coord_flip()

data=c(25,28,36,82,185)
labels=c("1","2","3","4","5") 

pie(data,labels,main ="大學生最喜歡參加社團比例",
     col=terrain.colors(length(data)))

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


stem(Data)
## 
##   The decimal point is 1 digit(s) to the right of the |
## 
##   4 | 9
##   5 | 139
##   6 | 13
##   7 | 9
##   8 | 49
##   9 | 1
Data<- c( 84,63,61,49,89,51,59,53,79,91)


mean(Data) 
## [1] 67.9
median(Data) 
## [1] 62
as.numeric(names(table(Data)))[which.max(table(Data))] 
## [1] 49
sd(Data)
## [1] 16.25115
var(Data) 
## [1] 264.1
Q1 <- quantile(Data, 1 / 4)
Q3 <- quantile(Data, 3 / 4)

Q1
##  25% 
## 54.5
Q3
##   75% 
## 82.75