superMarket <- data.frame(
BillID =c(501,502,503,504,505,506),
CustomerName =c("Aman","Riya","Karan","Neha","Rohit","Simran"),
Gender =factor(c("male","female","male","female","male","femle")),
Membership =factor(c("Gold","silver","Gold","None","silver","Gold")),
Catergory=factor(c("Grocery","Electonics","Clothess","Grocery","Electronics","Clothing")),
Quantinty = c(10,1,3,8,2,5),
CostPrice =c(50,20000,800,60,18000,700),
SellingPrice =c(70,25000,1000,80,22000,900),
Discount =c(100,2000,150,50,500,300),
DeliveryType =factor(c("Home","Store","Home","Store","Home","Home"))
)
superMarket
## BillID CustomerName Gender Membership Catergory Quantinty CostPrice
## 1 501 Aman male Gold Grocery 10 50
## 2 502 Riya female silver Electonics 1 20000
## 3 503 Karan male Gold Clothess 3 800
## 4 504 Neha female None Grocery 8 60
## 5 505 Rohit male silver Electronics 2 18000
## 6 506 Simran femle Gold Clothing 5 700
## SellingPrice Discount DeliveryType
## 1 70 100 Home
## 2 25000 2000 Store
## 3 1000 150 Home
## 4 80 50 Store
## 5 22000 500 Home
## 6 900 300 Home
str(superMarket)
## 'data.frame': 6 obs. of 10 variables:
## $ BillID : num 501 502 503 504 505 506
## $ CustomerName: chr "Aman" "Riya" "Karan" "Neha" ...
## $ Gender : Factor w/ 3 levels "female","femle",..: 3 1 3 1 3 2
## $ Membership : Factor w/ 3 levels "Gold","None",..: 1 3 1 2 3 1
## $ Catergory : Factor w/ 5 levels "Clothess","Clothing",..: 5 3 1 5 4 2
## $ Quantinty : num 10 1 3 8 2 5
## $ CostPrice : num 50 20000 800 60 18000 700
## $ SellingPrice: num 70 25000 1000 80 22000 900
## $ Discount : num 100 2000 150 50 500 300
## $ DeliveryType: Factor w/ 2 levels "Home","Store": 1 2 1 2 1 1
summary(superMarket)
## BillID CustomerName Gender Membership Catergory
## Min. :501.0 Length:6 female:2 Gold :3 Clothess :1
## 1st Qu.:502.2 Class :character femle :1 None :1 Clothing :1
## Median :503.5 Mode :character male :3 silver:2 Electonics :1
## Mean :503.5 Electronics:1
## 3rd Qu.:504.8 Grocery :2
## Max. :506.0
## Quantinty CostPrice SellingPrice Discount DeliveryType
## Min. : 1.000 Min. : 50 Min. : 70 Min. : 50.0 Home :4
## 1st Qu.: 2.250 1st Qu.: 220 1st Qu.: 285 1st Qu.: 112.5 Store:2
## Median : 4.000 Median : 750 Median : 950 Median : 225.0
## Mean : 4.833 Mean : 6602 Mean : 8175 Mean : 516.7
## 3rd Qu.: 7.250 3rd Qu.:13700 3rd Qu.:16750 3rd Qu.: 450.0
## Max. :10.000 Max. :20000 Max. :25000 Max. :2000.0