library('dplyr')
## Warning: package 'dplyr' was built under R version 4.3.3
## 
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
## 
##     filter, lag
## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union
library('tidyr')
## Warning: package 'tidyr' was built under R version 4.3.3
library('readr')
## Warning: package 'readr' was built under R version 4.3.3
library('stringr')
## Warning: package 'stringr' was built under R version 4.3.3
library('forcats') 
## Warning: package 'forcats' was built under R version 4.3.3
library('modelr') 
## Warning: package 'modelr' was built under R version 4.3.3
library('ggplot2')
## Warning: package 'ggplot2' was built under R version 4.3.3
setwd("C:/Users/HP/Downloads")

data <- read.csv("C:/Users/HP/Downloads/train.csv", header = TRUE)
train <- read.csv("train.csv", header = TRUE)
train <- train %>% mutate (
  Survived = factor(Survived),
  Pcalss = factor(Pclass),
  Embarked = factor(Embarked),
  Sex = factor(Sex)
)

head(train)
##   PassengerId Survived Pclass
## 1           1        0      3
## 2           2        1      1
## 3           3        1      3
## 4           4        1      1
## 5           5        0      3
## 6           6        0      3
##                                                  Name    Sex Age SibSp Parch
## 1                             Braund, Mr. Owen Harris   male  22     1     0
## 2 Cumings, Mrs. John Bradley (Florence Briggs Thayer) female  38     1     0
## 3                              Heikkinen, Miss. Laina female  26     0     0
## 4        Futrelle, Mrs. Jacques Heath (Lily May Peel) female  35     1     0
## 5                            Allen, Mr. William Henry   male  35     0     0
## 6                                    Moran, Mr. James   male  NA     0     0
##             Ticket    Fare Cabin Embarked Pcalss
## 1        A/5 21171  7.2500              S      3
## 2         PC 17599 71.2833   C85        C      1
## 3 STON/O2. 3101282  7.9250              S      3
## 4           113803 53.1000  C123        S      1
## 5           373450  8.0500              S      3
## 6           330877  8.4583              Q      3
summary(train)
##   PassengerId    Survived     Pclass          Name               Sex     
##  Min.   :  1.0   0:549    Min.   :1.000   Length:891         female:314  
##  1st Qu.:223.5   1:342    1st Qu.:2.000   Class :character   male  :577  
##  Median :446.0            Median :3.000   Mode  :character               
##  Mean   :446.0            Mean   :2.309                                  
##  3rd Qu.:668.5            3rd Qu.:3.000                                  
##  Max.   :891.0            Max.   :3.000                                  
##                                                                          
##       Age            SibSp           Parch           Ticket         
##  Min.   : 0.42   Min.   :0.000   Min.   :0.0000   Length:891        
##  1st Qu.:20.12   1st Qu.:0.000   1st Qu.:0.0000   Class :character  
##  Median :28.00   Median :0.000   Median :0.0000   Mode  :character  
##  Mean   :29.70   Mean   :0.523   Mean   :0.3816                     
##  3rd Qu.:38.00   3rd Qu.:1.000   3rd Qu.:0.0000                     
##  Max.   :80.00   Max.   :8.000   Max.   :6.0000                     
##  NA's   :177                                                        
##       Fare           Cabin           Embarked Pcalss 
##  Min.   :  0.00   Length:891          :  2    1:216  
##  1st Qu.:  7.91   Class :character   C:168    2:184  
##  Median : 14.45   Mode  :character   Q: 77    3:491  
##  Mean   : 32.20                      S:644           
##  3rd Qu.: 31.00                                      
##  Max.   :512.33                                      
## 
p_age = ggplot(train) +
  geom_freqpoly(mapping = aes(x = Age, color = Survived), binwidth = 1) +
  theme(legend.position = "right")

p_sex = ggplot(train, mapping = aes(x = Sex, fill = Survived)) +
  geom_bar(stat='count', position='fill') +
  labs(x = 'Sex') +
  scale_fill_discrete(name="Surv")

p_class = ggplot(train, mapping = aes(x = Pclass, fill = Survived, colour = Survived)) +
  geom_bar(stat='count', position='fill') +
  labs(x = 'Pclass') +
  theme(legend.position = "none")

p_emb = ggplot(train, aes(Embarked, fill = Survived)) +
  geom_bar(stat='count', position='fill') +
  labs(x = 'Embarked') +
  theme(legend.position = "none")

p_sib = ggplot(train, aes(SibSp, fill = Survived)) +
  geom_bar(stat='count', position='fill') +
  labs(x = 'SibSp') +
  theme(legend.position = "none")

p_par = ggplot(train, aes(Parch, fill = Survived)) +
  geom_bar(stat='count', position='fill') +
  labs(x = 'Parch') +
  theme(legend.position = "none")

p_fare = ggplot(train) +
  geom_freqpoly(mapping = aes(Fare, color = Survived), binwidth = 0.05) +
  scale_x_log10() +
  theme(legend.position = "none")

p_age
Fig. 2

Fig. 2

p_sex
Fig. 2

Fig. 2

p_fare
Fig. 2

Fig. 2

p_class
Fig. 2

Fig. 2

p_emb
Fig. 2

Fig. 2

p_sib
Fig. 2

Fig. 2

p_par
Fig. 2

Fig. 2

# Pastikan paket ggplot2 telah dimuat
library(ggplot2)

# Data contoh untuk variabel 'train' dengan kolom 'Pclass'
train <- data.frame(Pclass = sample(1:3, 891, replace = TRUE))

# Membuat grafik pai
ggplot(train, aes(x = factor(1), fill = factor(Pclass))) +
  geom_bar(width = 1) +  # Membuat batang dengan lebar penuh
  coord_polar(theta = "y") +  # Mengubah koordinat menjadi polar
  labs(x = NULL, y = NULL, title = 'Distribusi Kelas Tiket Penumpang') +
  theme_minimal() +
  scale_fill_manual(values = c('#FF70AB', '#FFAF61', '#FFDB5C'), 
                    name = "Kelas Tiket", 
                    labels = c("Kelas 1", "Kelas 2", "Kelas 3")) +
  theme(
    plot.title = element_text(hjust = 0.5, face = "bold", size = 14),
    axis.text = element_blank(),
    axis.ticks = element_blank(),
    panel.grid = element_blank(),
    legend.title = element_text(face = "bold", size = 12),
    legend.text = element_text(size = 10)
  ) +
  geom_text(stat = 'count', aes(label = ..count..), 
            position = position_stack(vjust = 0.5), color = 'black')
## Warning: The dot-dot notation (`..count..`) was deprecated in ggplot2 3.4.0.
## ℹ Please use `after_stat(count)` instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.