Untitled

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

we <- c(84,63,61,49,89,51,59,53,79,91)



mean(we)      #平均數

## [1] 67.9

median(we)    #中位數

## [1] 62

min(we)

## [1] 49

max(we)

## [1] 91

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

## [1] 49

sd(we)  #標準差

## [1] 16.25115

var(we) #變異數

## [1] 264.1