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","female")),
membership=factor(c("Gold","silver","Gold",NA,"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"))
)
supermarket
## BillID 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 <NA> 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
supermarket$grossrevenue<-supermarket$quantity*supermarket$sellingPrice
supermarket$totalCost<-supermarket$quantity*supermarket$costPrice
supermarket$netRevenue<-supermarket$grossrevenue-supermarket$discount
supermarket$profit<-supermarket$netRevenue-supermarket$totalCost
supermarket$membership=="Gold"& supermarket$profit>500 & supermarket$deliveryType=="home"
## [1] FALSE FALSE FALSE FALSE FALSE TRUE
e_commerce<- data.frame(
OrderId=c(101,102,103,104,105),
customername=c("Aman","riya","karan","nisha","rohit"),
category=factor(c("electronics","clothing","electronics","clothing","electronics")),
quantity = c(1,3,2,1,4),
paymentmethod = factor(c("UPI","card","card","cash","UPI")),
priceperunit = c(25000,1500,20000,5000,1200),
discount = c(2000,300,1500,800,NA),
Deliverydays = c(3,5,2,4,6)
)
e_commerce
## OrderId customername category quantity paymentmethod priceperunit discount
## 1 101 Aman electronics 1 UPI 25000 2000
## 2 102 riya clothing 3 card 1500 300
## 3 103 karan electronics 2 card 20000 1500
## 4 104 nisha clothing 1 cash 5000 800
## 5 105 rohit electronics 4 UPI 1200 NA
## Deliverydays
## 1 3
## 2 5
## 3 2
## 4 4
## 5 6