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library(readxl)
library(readr)

weight <- c(55,60,70,75,75)

data <- read_excel("D:/table2_2.xlsx")

head(data)

## # A tibble: 6 × 2
##   Gender Height
##   <chr>   <dbl>
## 1 男       160.
## 2 男       172.
## 3 男       170.
## 4 男       168.
## 5 男       171.
## 6 男       174.

stem(weight,2)

## 
##   The decimal point is 1 digit(s) to the right of the |
## 
##   5 | 5
##   6 | 0
##   6 | 
##   7 | 0
##   7 | 55

統計成績 <- c(68,85,74,88,63,78,90,80,58,63)

數學成績 <- c(85,91,74,100,82,84,78,100,51,70)

mean(統計成績)

## [1] 74.7

Q1 <- quantile(統計成績, 1 / 4) 
Q2 <- quantile(統計成績, 2 / 4)

median(統計成績)

## [1] 76

plot(統計成績,數學成績,
     pch = 17,
     col= "skyblue",
     main ="統計成績與數學成績",
     xlab ="統計成績",
     ylab ="數學成績")

hist(統計成績,
     col= "lightyellow",
     main ="統計成績與數學成績",
     xlab ="統計成績",
     ylab ="次數")

# Load ggplot2
library(ggplot2)

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

# Barplot
ggplot(data, aes(x=name, y=value)) + 
  geom_bar(stat = "identity", width=0.2) 

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 ="大學生最喜歡參加的社團的次數分配圖", col=heat.colors(length(data)))