Market_sales<-data.frame(
Bill_Id=c(501,502,503,504,505,506),
CustomerName=c("Aman","Riya","Karan","Neha","Rohit","Simran"),
Gender=factor(c("Male","Female","Male","Female","Male","Female")),
Membership=factor(c("Gold","Silver","Gold","None","Silver","Gold")),
Category=factor(c("Grocery","Electronics","Clothing","Grocery","Electronics","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=factor(c("Home","Store","Home","Store","Home","Home"))
)
print(Market_sales)
## Bill_Id CustomerName Gender Membership Category Quantity CostPrice
## 1 501 Aman Male Gold Grocery 10 50
## 2 502 Riya Female Silver Electronics 1 20000
## 3 503 Karan Male Gold Clothing 3 800
## 4 504 Neha Female None Grocery 8 60
## 5 505 Rohit Male Silver Electronics 2 18000
## 6 506 Simran Female 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
Market_sales$GrossRevenue<-Market_sales$Quantity*Market_sales$SellingPrice
print(Market_sales$GrossRevenue)
## [1] 700 25000 3000 640 44000 4500