4/18

Math <- c(85,91,74,100,82,84,78,100,51,70)
Statistic <- c(68,85,74,88,63,78,90,80,58,63)


plot(Math,Statistic,
     pch = 17,
     col= "red",
     main ="班上的數學與統計成績",
     xlab ="Math",
     ylab ="Statistic")

hist(Math,
     col= "pink",
     main ="班上的數學成績",
     xlab ="分數",
     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") ,  
  次數=c(185,82,36,28,25)
)

# Barplot
ggplot(data, aes(x=社團類型, y=次數)) + 
  geom_bar(stat = "identity", width=0.2,  fill="blue") 

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 ="社團類型", col=heat.colors(length(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") ,  
  
  次數=c(185,82,36,28,25)) 
  
ggplot(data, aes(x=社團類型, y=次數)) +
  geom_segment( aes(x=社團類型, xend=社團類型, y=0, yend=次數)) +
  geom_point( size=5, color="purple", 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

quantile(Data$Japanese, 1 / 4)

##  25% 
## 54.5

quantile(Data$Japanese, 3 / 4) 

##   75% 
## 82.75