we <- c(68,85,74,22,63,78,90,80,58,63)
we2 <- c(85,91,74,100,82,84,78,100,51,70)
plot(we,we2,
pch = 17,
col= "skyblue",
main ="班上的統計成績與數學成績",
xlab ="統計成績",
ylab ="數學成績")

we <- c(68,85,74,22,63,78,90,80,58,63)
we2 <- c(85,91,74,100,82,84,78,100,51,70)
hist(we,
col= "lightyellow",
main ="班上的統計成績與數學成績",
xlab ="統計成績",
ylab ="數學成績")

weight <- c(50,55,63,55,67,43,52)
high <- c(150,160,170,175,150,153,165)
# Load ggplot2
library(ggplot2)
# Load ggplot2
library(ggplot2)
# Create data
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") ,
人數=c(182,82,36,28,25)
)
# Barplot
ggplot(data, aes(x=社團類型, y=人數)) +
geom_bar(stat = "identity", width=0.2, fill="skyblue")

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 ="大學生喜歡參加的社團", 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