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=8,
col="pink",
xlab="統計成績",
ylab="數學成績",
main="班級的統計成績和數學成績")

we <- c(68,85,74,88,63,78,90,80,58,63)
hist(we,
col="purple",
main ="班上的統計",
xlab ="統計",
ylab ="人數")

library("ggplot2")
data <- data.frame(
社團=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(data, aes(x=社團, y=次數)) +
geom_bar(stat = "identity", width=0.5, fill="lightyellow")

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 ="大學生喜愛社團比例", col=heat.colors(length(data)))

Japanese<-c(84,63,61,49,89,51,59,53,79,91)
stem(Japanese)
##
## The decimal point is 1 digit(s) to the right of the |
##
## 4 | 9
## 5 | 139
## 6 | 13
## 7 | 9
## 8 | 49
## 9 | 1
Japanese<-c(84,63,61,49,89,51,59,53,79,91)
mean(Japanese)
## [1] 67.9
median(Japanese)
## [1] 62
as.numeric(names(table(Japanese)))[which.max(table(Japanese))]
## [1] 49
sd(Japanese)
## [1] 16.25115
var(Japanese)
## [1] 264.1
Q1 <- quantile(Japanese,1/4)
print(Q1)
## 25%
## 54.5
Q3 <- quantile(Japanese,3/4)
print(Q3)
## 75%
## 82.75