Untitled

Statistic <- c(68,85,74,88,63,78,90,80,58,63)

Math <- c(85,91,74,100,82,84,78,100,51,70)

Name <- c("張青松
","王奕翔
","田新雨
","徐麗娜
","張志傑
","趙穎睿
","王智強
","宋媛婷
","袁四方
","張建國
")


plot(Statistic,Math,
     pch = 17,
     col= "purple",
     main ="班上的統計&數學成績",
     xlab ="Statistic",
     ylab ="Math")

hist(Math,
     col= "blue",
     main ="班上的數學成績",
     xlab ="Math",
     ylab ="人數")

"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)

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

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

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 ="大學生最愛參加的社團的次數分配表", 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="pink", fill=alpha("purple", 0.3), alpha=0.7, shape=21, stroke=2) 

Data<-read.csv("C:/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$Japanese)))[which.max(table(Data$Japenese))]

## numeric(0)

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