Buatlah sebuah histogram dengan label yang sesuai untuk nilai (value) dari orders yang diterima dari negara-negara nordik (Denmark, Finland, Norway,Sweden)!
Laporan ini digunakan untuk membuat sebuah histogram dengan label yang sesuai untuk nilai (value) dari orders yang diterima dari negara-negara nordik (Denmark, Finland, Norway,Sweden).
Langkah pertama terlebih dahulu perlu dikoneksikan database classicmodels dari MySQL ke R-Studio menggunakan fungsi dbConnect.
library(DBI)
con <- DBI::dbConnect(odbc::odbc(),
Driver = "MySQL ODBC 8.0 ANSI Driver",
Server = "127.0.0.1",
Database = "classicmodels",
UID = "root",
PWD = "Siveng22", #sesuaikan dg password masing-masing
Port = 3306)
Input data Nordik dari classicmodels.
dt1 <- dbGetQuery(con, "SELECT
o.orderNumber,
c.country,
SUM(od.quantityOrdered * od.priceEach) AS total_value
FROM orders o
JOIN orderdetails od ON o.orderNumber = od.orderNumber
JOIN customers c ON o.customerNumber = c.customerNumber
WHERE c.country IN('Denmark','Finland', 'Norway', 'Sweden')
GROUP BY o.orderNumber")
dt1
## orderNumber country total_value
## 1 10103 Norway 50218.95
## 2 10105 Denmark 53959.21
## 3 10112 Sweden 7674.94
## 4 10141 Finland 29716.86
## 5 10151 Finland 32723.04
## 6 10155 Finland 37602.48
## 7 10158 Norway 1491.38
## 8 10161 Denmark 36164.46
## 9 10167 Sweden 44167.09
## 10 10181 Norway 55069.55
## 11 10188 Norway 29954.91
## 12 10238 Denmark 28211.70
## 13 10239 Finland 16212.59
## 14 10247 Finland 28394.54
## 15 10256 Denmark 4710.73
## 16 10284 Norway 32260.16
## 17 10289 Norway 12538.01
## 18 10291 Sweden 48809.90
## 19 10299 Finland 34341.08
## 20 10301 Norway 36798.88
## 21 10309 Norway 17876.32
## 22 10314 Denmark 53745.34
## 23 10320 Sweden 16799.03
## 24 10325 Norway 34638.14
## 25 10326 Sweden 19206.68
## 26 10327 Denmark 20564.86
## 27 10334 Sweden 23014.17
## 28 10363 Finland 45785.34
## 29 10373 Finland 46770.52
## 30 10377 Finland 23602.90
## 31 10389 Sweden 27966.54
## 32 10406 Denmark 21638.62
Visualisasikan nilai dari setiap order negara Nordik.
library(ggplot2)
library(scales)
ggplot(dt1, aes(x = total_value)) +
geom_histogram(aes(fill = after_stat(count)), bins = 15, color = "white", linewidth = 0.3) +
stat_bin(bins = 15, geom = "text",
aes(label = ifelse(after_stat(count) > 0, after_stat(count), "")),
vjust = -0.5, size = 3, fontface = "bold", color = "gray30") +
scale_fill_gradient(low = "#FCBF49", high = "#D62828") +
scale_x_continuous(labels = label_dollar()) +
scale_y_continuous(expand = expansion(mult = c(0, 0.15))) +
theme_minimal(base_size = 12) +
labs(
title = "Distribusi Nilai Pesanan dari Negara-Negara Nordik",
subtitle = "Denmark | Finland | Norway | Sweden",
x = "Nilai Pesanan (USD)",
y = "Jumlah Order"
) +
theme(
legend.position = "none",
plot.title = element_text(face = "bold", size = 14, color = "#D62828"),
plot.subtitle = element_text(color = "gray50", size = 10),
plot.caption = element_text(color = "gray60", size = 8, hjust = 1),
panel.grid.minor = element_blank()
)