#DELITA NUR HASANAH
#TUGAS MANAJEMEN DATA RELASIONAL
#Input data
NamaCase <- c("Hardcase", "CandyCase", "Backglass", "ClearCase", "MacaronCase")
Modal <- c(15, 10, 16, 12, 14)
Harga <- c(25, 15, 28, 20, 18)
Keuntungan <-c(10, 5, 12, 8, 4)
Penjualan <- c(20, 30, 17, 25, 28)
#Data Frame
casemarket <- data.frame(NamaCase, Modal, Harga, Keuntungan, Penjualan)
casemarket
## NamaCase Modal Harga Keuntungan Penjualan
## 1 Hardcase 15 25 10 20
## 2 CandyCase 10 15 5 30
## 3 Backglass 16 28 12 17
## 4 ClearCase 12 20 8 25
## 5 MacaronCase 14 18 4 28
str(casemarket)
## 'data.frame': 5 obs. of 5 variables:
## $ NamaCase : chr "Hardcase" "CandyCase" "Backglass" "ClearCase" ...
## $ Modal : num 15 10 16 12 14
## $ Harga : num 25 15 28 20 18
## $ Keuntungan: num 10 5 12 8 4
## $ Penjualan : num 20 30 17 25 28
#Boxplot
casemarket2 <- casemarket[-1]
casemarket2
## Modal Harga Keuntungan Penjualan
## 1 15 25 10 20
## 2 10 15 5 30
## 3 16 28 12 17
## 4 12 20 8 25
## 5 14 18 4 28
boxplot(casemarket2, main = "Boxplot Casemarket", col = "purple")

#Histogram
hist(casemarket$Harga, main = "Histogram Case", col = "yellow", xlab = "Harga Case", ylab = "Frekuensi")

#Korelasi
cor(casemarket2)
## Modal Harga Keuntungan Penjualan
## Modal 1.0000000 0.8796724 0.6637901 -0.8409452
## Harga 0.8796724 1.0000000 0.9396132 -0.9969973
## Keuntungan 0.6637901 0.9396132 1.0000000 -0.9627600
## Penjualan -0.8409452 -0.9969973 -0.9627600 1.0000000