1112210044

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 = 17,
     col= "brown",
     main ="班上的成績",
     xlab ="Statistic",
     ylab ="Math")

hist(Math,
     col= "orange",
     main ="班上的成績成績",
     xlab ="數學",
     ylab ="人數")

# 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(185,82,36,28,25))

# Barplot
ggplot(data, aes(x=人數, y=社團類型)) + 
  geom_bar(stat = "identity") +
  coord_flip()

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 ="學生人數的比例", col=heat.colors(length(data)))

library(readxl)
library(readr)
Data <- read.csv("D:/table1_1.csv")
stem(Data$Japanese,scale = 2)

## 
##   The decimal point is 1 digit(s) to the right of the |
## 
##   4 | 9
##   5 | 13
##   5 | 9
##   6 | 13
##   6 | 
##   7 | 
##   7 | 9
##   8 | 4
##   8 | 9
##   9 | 1

mean(Data$Japanese)

## [1] 67.9

median(Data$Japanese)

## [1] 62

min(Data$Japanese)

## [1] 49

max(Data$Japanese)

## [1] 91

sd(Data$Japanese)

## [1] 16.25115

var(Data$Japanese)

## [1] 264.1