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