supermarket<- data.frame(
billId = 501:506,
customerName = c('aman','riya','karan','neha','rohit','simran'),
gender= c('male','female','male','female','male','male'),
menbership= c('Gold','Silver','Gold','None','Silver','Gold'),
cat=c('grocery','ele','clothing','grocery','ele','clothing'),
Quantity=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=c(
'Home',
'Store',
'Home',
'Store',
'Home',
'Home')
)
supermarket$GrossRevenue <- supermarket$Quantity * supermarket$SellingPrice
supermarket
## billId customerName gender menbership cat Quantity CostPrice
## 1 501 aman male Gold grocery 10 50
## 2 502 riya female Silver ele 1 20000
## 3 503 karan male Gold clothing 3 800
## 4 504 neha female None grocery 8 60
## 5 505 rohit male Silver ele 2 18000
## 6 506 simran male Gold clothing 5 700
## SellingPrice Discount DeliveryType GrossRevenue
## 1 70 100 Home 700
## 2 25000 2000 Store 25000
## 3 1000 150 Home 3000
## 4 80 50 Store 640
## 5 22000 500 Home 44000
## 6 900 300 Home 4500
supermarket$total<- supermarket$Quantity*supermarket$CostPrice
supermarket$netRevenue<- supermarket$GrossRevenue-supermarket$Discount
supermarket$profit<- supermarket$netRevenue- supermarket$total
supermarket
## billId customerName gender menbership cat Quantity CostPrice
## 1 501 aman male Gold grocery 10 50
## 2 502 riya female Silver ele 1 20000
## 3 503 karan male Gold clothing 3 800
## 4 504 neha female None grocery 8 60
## 5 505 rohit male Silver ele 2 18000
## 6 506 simran male Gold clothing 5 700
## SellingPrice Discount DeliveryType GrossRevenue total netRevenue profit
## 1 70 100 Home 700 500 600 100
## 2 25000 2000 Store 25000 20000 23000 3000
## 3 1000 150 Home 3000 2400 2850 450
## 4 80 50 Store 640 480 590 110
## 5 22000 500 Home 44000 36000 43500 7500
## 6 900 300 Home 4500 3500 4200 700