0012

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=15,
     col="blue",
     main ="班上的統計與數學分數",
     xlab="統計分數",
     ylab="數學分數") 

hist(Statistic,
     col= "purple",
     main ="班上的統計分數",
     xlab ="統計分數",
     ylab ="數學成績")

library(ggplot2)
data = data.frame(
  社團類型=c("休閒娛樂","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=社團類型,y=參加次數)) +
  geom_bar(stat="identity",width=.8,fill ="blue")

data<- c(185,82,36,28,25)
labels <- c("休閒娛樂","知識閱讀","體育競技","科學創新","公益活動")
pie(data,labels,main ="參加社團比率", col=terrain.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

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