Grocery_NE: Data: Grocery_NE

In UBStats: Basic Statistics

Data: Grocery_NE

Description

This dataset contains the variables from a survey on a sample of customers from a grocery chain operating in Italy. Specifically, data refer to the sub-sample of customers who regularly shop in stores located in north-eastern Italian region. Information is available on the activity observed in the last year (number of visits and transactions, amount spent), on customers’ satisfaction with the retailer, and on the perceived weakness of the most frequently visited store.

Usage

data(Grocery_NE)

Format

A dataframe with n = 3114 observations and the following 28 variables (levels of the variables listed in alphabetical order):

• Id (int): customer identification

• Sex (chr): customer’s sex at birth, (F or M)

• Age (num): customer's age (in years)

• Tenure (factor): Customer tenure in years (coded in classes: [0,1), [1,3), [3,6), [6,10), [10,15), [15,25), [25,35))

• Status (chr): customers’ status (Active, Silent)

• FavShop (chr): store customers visit the most (NE.01, NE.02,..., NE.07)

• FavShop_Region (chr) region where the favourite shop is located (here, only North-East)

• TotShops (num): number of stores visited by the customer

• WeekDay (chr): preferred shopping day (1:Mon, 2:Tue,..., 7:Sun)

• TimeSlot (chr): preferred shopping time slot (08-12, 12-14, 14-17, 17-23)

• Satisf: (chr): Customer’s overall declared satisfaction with the retailer (VLow, QLow, Low, Med, QHigh, High, VHigh)

• Complaint (factor): major weakness of the typically visited store (Quality&Variety, Prices, Resupply, Staff, Crowded, Checkout)

• NMonths (num): number of months in which the customers visited a store at least once

• MonthExp (chr) amount spent per month, in classes ([0,50), [50,100), [100,150), [300,400), [200,300), [300,400), [400,600), [600,800])

• Transact_M (num): transactions per month

• TBP (num): time between purchases

• TotExp (num): amount spent in the last 12 year

• TotVisits (num): total number of visits in the last year

• Receipt (num): average receipt (transaction value)

• Visits_Regular (num): score (ranging from 0 to 100) indicating the regularity of customer’s shopping trips

• Spending_Regular (num) score (ranging from 0 to 100) indicating the regularity of customer’s spending

• Discount (num): average discount on purchased products

• CrossSelling (num): index measuring how diverse a customer's purchases are across different product categories

• RecencyScore (num): index reflecting how recently a customer last interacted with a company (higher scores reflecting more recent interactions)

• MonetaryScore (num): index reflecting the overall value of the customer to the business

• FrequencyScore (num): index reflecting the regularity or repetition of customer transactions, with higher scores indicating more frequent purchases

UBStats documentation built on Aug. 27, 2025, 9:10 a.m.