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)



plot(statistic,math,
     pch = 17,
     col= "skyblue",
     main ="班上成績統計表",
     xlab ="統計成績",
     ylab ="數學成績",)

hist(statistic,
     col= "lightyellow",
     main ="班上成績統計表",
     xlab ="統計成績",
     ylab ="次數")

# Load ggplot2
library(ggplot2)

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

# Barplot
ggplot(data, aes(x=社團名稱, y=次數)) + 
  geom_bar(stat = "identity")

# Load ggplot2
library(ggplot2)

# Create Data
data2 <- data.frame(
  group=LETTERS[1:5],
  value=c(185,82,36,28,25)
)
# Basic piechart
ggplot(data2, aes(x="", y=value, fill=group)) +
  geom_bar(stat="identity", width=1) +
  coord_polar("y", start=0)

# Library
library(tidyverse)

## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr     1.1.4     ✔ readr     2.1.5
## ✔ forcats   1.0.0     ✔ stringr   1.5.1
## ✔ lubridate 1.9.4     ✔ tibble    3.2.1
## ✔ purrr     1.0.4     ✔ tidyr     1.3.1
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag()    masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors

# plot
ggplot(data, aes(x=社團名稱, y=次數)) +
  geom_segment( aes(x=社團名稱, xend=社團名稱, y=0, yend=次數)) +
  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

mean(Japanese)

## [1] 67.9

median(Japanese)

## [1] 62

sd(Japanese)

## [1] 16.25115

var(Japanese)

## [1] 264.1

as.numeric(names(table(Japanese)))[which.max(table(Japanese))] 

## [1] 49

quantile(Japanese,0.25)

##  25% 
## 54.5

quantile(Japanese,0.75)

##   75% 
## 82.75