期中作業

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= "blue",
     main ="Statistic and Math",
     xlab ="Statistic",
     ylab ="Math")

hist(Statistic,
     col= "gray",
     main ="Statistic and Math",
     xlab ="Statistic",
     ylab ="Math")

社團類型 <- c(5,4,3,2,1)

次數 <- c(185,82,36,28,25)


mean(社團類型)

## [1] 3

# 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") ,  
  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=0.4,  fill="lightyellow") 

次數<- c(50,23,35,48)
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")
# Data frame
data<- c(50,23,35,48)
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 ="大學生最喜歡的社團的參加次數分配表", col=heat.colors(length(data)))

library(ggplot2)

# Create data
data <- data.frame(
  社團名稱=c("公益活動","科學創新","體育競技","知識閱讀","娛樂休閒"),
  人數=c(25,28,36,82,185)
)


ggplot(data, aes(x=社團名稱, y=人數)) +
  geom_segment( aes(x=社團名稱, xend=社團名稱, y=0, yend=人數), color="skyblue") +
  geom_point( color="blue", size=4, alpha=0.6) +
  theme_light() +
  coord_flip() +
  theme(
    panel.grid.major.y = element_blank(),
    panel.border = element_blank(),
    axis.ticks.y = element_blank()
  )

getwd()

## [1] "C:/Users/wenzao/Desktop"

data <- read.csv("期中考試資料.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) #平均數

## [1] 67.9

median(data$Japanese) #中位數

## [1] 62

as.numeric(names(table(data$Japanese)))[which.max(table(data$Japanese))]  #眾數

## [1] 49

sd(data$Japanese)#標準差

## [1] 16.25115

var(data$Japanese)#變異數

## [1] 264.1

Q1 <- quantile(data$Japanese, 1 / 4) #第一四分位數
Q3 <- quantile(data$Japanese, 3 / 4) #第三四分位數
Q1

##  25% 
## 54.5

Q3

##   75% 
## 82.75