Untitled

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="black",
     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 ="人數") #直方圖yallow

library(ggplot2)
data = data.frame(
  社團類型=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=社團類型,y=參加次數)) +
  geom_bar(stat="identity",width=.8,fill ="yellow") #長條圖

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))) #圓餅圖

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)

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

sd(Japanese)

var(Japanese)

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

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