Zara <- c(500,400,200,350,250)
Zara
## [1] 500 400 200 350 250
Colorbox <- c(150,100,250,170,200)
Colorbox
## [1] 150 100 250 170 200
Mango <- c(300,600,550,250,200)
Mango
## [1] 300 600 550 250 200
HnM <- c(80,100,150,250,200)
HnM
## [1]  80 100 150 250 200
PullandBear <- c(350,200,250,400,420)
PullandBear
## [1] 350 200 250 400 420
Harga <- data.frame(Zara,Colorbox,Mango,HnM,PullandBear)
Harga
##   Zara Colorbox Mango HnM PullandBear
## 1  500      150   300  80         350
## 2  400      100   600 100         200
## 3  200      250   550 150         250
## 4  350      170   250 250         400
## 5  250      200   200 200         420
#Membuat Histogram Tinggi
hist(Harga$Colorbox, main="Plot Histogram", col = "pink")

#Membuat boxplot
boxplot(Harga, main="Plot Boxplot", col="red")

#Membuat matriks korelasi
cor(Harga)
##                    Zara   Colorbox       Mango        HnM PullandBear
## Zara         1.00000000 -0.7973335 -0.09762379 -0.5279373 -0.01753425
## Colorbox    -0.79733350  1.0000000 -0.13723347  0.3996723  0.23944315
## Mango       -0.09762379 -0.1372335  1.00000000 -0.5350216 -0.99148658
## HnM         -0.52793734  0.3996723 -0.53502156  1.0000000  0.62527795
## PullandBear -0.01753425  0.2394431 -0.99148658  0.6252780  1.00000000