data=read.table(file.choose(), header=TRUE)
data
## Provinsi TPT
## 1 Aceh 5.56
## 2 Sumut 5.10
## 3 Sumbar 5.79
## 4 Riau 3.85
## 5 Jambi 4.10
## 6 Sumsel 3.97
## 7 Bengkulu 3.17
## 8 Lampung 4.12
## 9 Bangka_Belitung 3.85
## 10 Kep_Riau 6.94
## 11 DKI_Jakarta 6.03
## 12 Jabar 6.91
## 13 Jateng 4.39
## 14 DIY 3.24
## 15 Jatim 3.74
## 16 Banten 7.02
## 17 Bali 1.87
## 18 NTB 2.73
## 19 NTT 3.17
## 20 Kalbar 4.90
## 21 Kalteng 3.67
## 22 Kalsel 3.81
## 23 Kaltim 5.75
## 24 Kaltara 4.01
## 25 Sulut 5.98
## 26 Sulteng 3.15
## 27 Sulsel 4.87
## 28 Sultra 3.22
## 29 Gorontalo 3.06
## 30 Sulbar 3.02
## 31 Maluku 6.18
## 32 Malut 4.16
## 33 Papua 3.25
## 34 Papua_Barat 5.12
## 35 Papua_Selatan 4.20
## 36 Papua_Tengah 4.10
## 37 Papua_Pegunungan 2.15
## 38 Papua_Barat_Daya 6.02
length(data$TPT)
## [1] 38
mean(data$TPT)
## [1] 4.372895
median(data$TPT)
## [1] 4.1
range(data$TPT)
## [1] 1.87 7.02
max(data$TPT)-min(data$TPT)
## [1] 5.15
max(data$TPT)
## [1] 7.02
min(data$TPT)
## [1] 1.87
var(data$TPT)
## [1] 1.792691
sd(data$TPT)
## [1] 1.338914
quantile(data$TPT)
## 0% 25% 50% 75% 100%
## 1.8700 3.2425 4.1000 5.4500 7.0200
library(ggplot2)
## Warning: package 'ggplot2' was built under R version 4.5.3
ggplot(data, aes(x = TPT)) + geom_histogram(
binwidth = 1,
boundary = 1,
fill = "pink",
color = "black"
) +
scale_x_continuous(
breaks = seq(1, 8, by = 1),
limits = c(1, 8)
) +
labs(
title = "TPT di Indonesia",
x = "TPT",
y = "Freq"
) +
theme_classic() +
theme(
axis.text.x = element_text(angle = 0, hjust = 0.5),
plot.title = element_text(
hjust = 0.5,
face = "bold"
)
)

ggplot(data, aes(x = "", y = TPT)) +
geom_boxplot(fill = "pink") +
labs(title = "Box Plot TPT Indonesia 2024", x = "", y = "TPT") +
theme_minimal() +
theme(plot.title = element_text(hjust = 0.5, face = "bold"))

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)
## Warning: package 'tidyverse' was built under R version 4.5.3
## Warning: package 'tibble' was built under R version 4.5.3
## Warning: package 'tidyr' was built under R version 4.5.3
## Warning: package 'readr' was built under R version 4.5.3
## Warning: package 'purrr' was built under R version 4.5.3
## Warning: package 'stringr' was built under R version 4.5.3
## Warning: package 'forcats' was built under R version 4.5.3
## Warning: package 'lubridate' was built under R version 4.5.3
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ forcats 1.0.1 ✔ stringr 1.6.0
## ✔ lubridate 1.9.5 ✔ tibble 3.3.1
## ✔ purrr 1.2.2 ✔ tidyr 1.3.2
## ✔ readr 2.2.0
## ── 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
library(ggplot2)
Data_Kalimantan <- data %>%
filter(str_starts(Provinsi, "Kal"))
Data_Kalimantan
## Provinsi TPT
## 1 Kalbar 4.90
## 2 Kalteng 3.67
## 3 Kalsel 3.81
## 4 Kaltim 5.75
## 5 Kaltara 4.01
ggplot(Data_Kalimantan, aes(x = Provinsi, y = TPT, fill = Provinsi)) +
geom_col() +
labs(
title = "TPT Pulau Kalimantan Tahun 2024",
x = "Provinsi",
y = "TPT"
) +
theme_minimal() +
theme(
axis.text.x = element_text(angle = 45, hjust = 1),
plot.title = element_text(hjust = 0.5, face = "bold"),
legend.position = "none"
)
