library(ggplot2)
## Warning: package 'ggplot2' was built under R version 4.5.3
library(dplyr)
## Warning: package 'dplyr' was built under R version 4.5.3
##
## 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(tidyverse)
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ forcats 1.0.1 ✔ stringr 1.5.2
## ✔ lubridate 1.9.4 ✔ tibble 3.3.0
## ✔ purrr 1.1.0 ✔ tidyr 1.3.1
## ✔ readr 2.1.5
## ── 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
Data <- read.table(file.choose(),
header = TRUE,
sep = "\t",
fill = TRUE,
strip.white = TRUE)
Data$Haji <- as.numeric(gsub("\\.", "", Data$Haji))
ggplot(Data, aes(x = Haji)) +
geom_histogram(binwidth = 5000, boundary = 0, fill = "Pink", color = "Black") +
labs(
title = "Distribusi Jumlah Jemaah Haji di Indonesia 2025",
x = "Jumlah Jemaah Haji (Orang)",
y = "Frekuensi (Jumlah Provinsi)"
) +
theme_classic() +
theme(
plot.title = element_text(hjust = 0.5, face = "bold")
)
## Warning: Removed 4 rows containing non-finite outside the scale range
## (`stat_bin()`).

ggplot(Data, aes(x = "", y = Haji)) +
geom_boxplot(fill = "red", na.rm = TRUE) +
labs(
title = "Box Plot Jumlah Jemaah Haji Indonesia 2025",
x = "",
y = "Jumlah Jemaah Haji (Orang)"
) +
theme_minimal() +
theme(
plot.title = element_text(hjust = 0.5, face = "bold")
)

Data_Kalimantan <- Data %>% filter(str_starts(Provinsi, "Kalimantan"))
ggplot(Data_Kalimantan, aes(x = Provinsi, y = Haji, fill = Provinsi)) +
geom_col() +
labs(
title = "Jumlah Jemaah Haji Pulau Kalimantan Tahun 2025",
x = "Provinsi",
y = "Jumlah Jemaah Haji (Orang)"
) +
theme_minimal() +
theme(
axis.text.x = element_text(angle = 45, hjust = 1),
plot.title = element_text(hjust = 0.5, face = "bold"),
legend.position = "none"
)
