榆庭期中作業

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

we2 <- c(85,91,74,100,82,84,78,100,51,70)
plot(we,we2,
     pch = 17,
     col= "skyblue",
     main ="班上的統計與數學成績",
     xlab ="數學成績",
     ylab ="統計成績")

hist(we,
     col= "lightyellow",
     main ="統計成績直方圖",
     xlab ="成績分布",
     ylab ="人數")

# 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")

data2<- 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(data2,labels,main ="學生的比例", col=heat.colors(length(data2)))

data2 <- data.frame(
  x=c("娛樂休閒","知識閱讀","體育競技","科學創新","公益活動"),
  y=c(185,82,36,28,25))
ggplot(data2, aes(x=x, y=y)) +
  geom_segment( aes(x=x, xend=x, y=0, yend=y)) +
  geom_point( size=5, color="red", fill=alpha("orange", 0.3), alpha=0.7, shape=21, stroke=2)

japanese <- c(84,63,61,49,89,51,59,53,79,91)
stem(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

# 資料
japanese <- c(84, 63, 61, 49, 89, 51, 59, 53, 79, 91)

# 1. 平均數
mean_j <- mean(japanese)

# 2. 中位數
median_j <- median(japanese)

# 3. 眾數函數
get_mode <- function(x) {
  ux <- unique(x)
  tab <- tabulate(match(x, ux))
  modes <- ux[tab == max(tab)]
  return(modes)
}
mode_j <- get_mode(japanese)

# 4. 標準差
sd_j <- sd(japanese)

# 5. 變異數
var_j <- var(japanese)

# 6. 第一四分位數 Q1
q1_j <- quantile(japanese, 0.25)

# 7. 第三四分位數 Q3
q3_j <- quantile(japanese, 0.75)

# 顯示結果
cat("Mean:", mean_j, "\n")

## Mean: 67.9

榆庭期中作業

2025-04-16