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= "skyblue",
     main ="成績表",
     xlab ="統計成績",
     ylab ="數學成績")

hist(Statistic,
     col= "lightyellow",
     main ="成績表",
     xlab ="統計成績",
     ylab ="個數")

library(ggplot2)
# Load ggplot2
library(ggplot2)

# Create data
data <- data.frame(
  社團次數分配表=c("5","4","3","2","1") ,  
  次數=c(185,82,36,28,25)
  )

# Barplot
ggplot(data, aes(x=社團次數分配表, y=次數)) + 
  geom_bar(stat = "identity", width=0.2,  fill="skyblue") 

data<- c(185,82,36,28,25)
labels <- c("5","4","3","2","1")

pie(data,labels,main ="社團次數分配表", col=heat.colors(length(data)))

# Create data
data <- data.frame(
  社團次數分配表=c("5","4","3","2","1"),
  次數=c(185,82,36,28,25)
)
 
# plot
ggplot(data, aes(x=社團次數分配表, y=次數)) +
  geom_segment( aes(x=社團次數分配表, xend=社團次數分配表, y=0, yend=次數)) +
  geom_point( size=5, color="red", fill=alpha("orange", 0.3), alpha=0.7, shape=21, stroke=2)

Data <- read.csv("D:/table1_1.csv")

stem(Data$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

mean(Data$Japanese)

## [1] 67.9

median(Data$Japanese)

## [1] 62

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

## [1] 49

sd(Data$Japanese)

## [1] 16.25115

var(Data$Japanese)

## [1] 264.1