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=20,
col="red",
xlab="統計",
ylab="數學",
main="統計成績與數學成績")

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

library("ggplot2")
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") ,
參加次數=c(185,82,36,28,25)
)
ggplot(data, aes(x=社團名稱, y=參加次數)) +
geom_bar(stat = "identity", width=0.2, fill="red")

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=terrain.colors(length(data)))

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