LATIHAN

Koneksi Database

Langkah pertama adalah membangun koneksi antara Rstudio dan database MySQL menggunakan fungsi dbConnect()

library(ggplot2) #load library
library(RMySQL)
## Loading required package: DBI
library(dplyr)
## 
## 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(DBI)
library(scales)
con <- DBI::dbConnect(odbc::odbc(),
                      Driver = "MySQL ODBC 8.0 ANSI Driver",
                      Server = "127.0.0.1",
                      Database = "classicmodels",
                      UID = "root",
                      PWD = "himmatyasnida",
                      Port = 3306)

Hitung Nilai (value)& Simpan Hasil

Buat objek untuk menyimpan hasil query dari database

# Mendapatkan data yang diperlukan
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

Visualisasi Histogram

Buat histogram dengan label yang sesuai untuk nilai (value) dari orders yang diterima dari negara-negara Nordic

ggplot(dt1, aes(x = total_value)) + 
  geom_histogram(aes(fill = after_stat(count)), bins = 15, color = "white") +
  stat_bin(bins = 15, geom = "text", aes(label = after_stat(count)), vjust = -0.5, size = 3) + 
  scale_fill_gradient(low = "#132843", high = "#56B1F7") + 
  scale_x_continuous(labels = label_dollar()) + 
  scale_y_continuous(expand = expansion(mult = c(0, 0.15))) + 
  theme_minimal() + 
  labs(title = "Distribusi Nilai Pesanan di Negara Nordic", 
       subtitle = "Negara: Denmark, Finland, Norway, Sweden", 
       x = "Nilai Pesanan (USD)", 
       y = "Frekuensi (Jumlah Order)") + 
  theme(legend.position = "none")