MktDATA.Orig | R Documentation |
This dataset contains the variables from a survey on a set of customers of a company operating in the retail food sector. The company sells products from 3 major categories (referred to as A, B, C) The customers can order and acquire products in the company physical stores, or through the company's website (in this case, they can order on the website and pick up the order in one store). Information is collected on customers' activity in the last two years (observation period), as well as some information retrieved through questionnaires or fidelity cards. During such period different marketing strategies were adopted to improve customers' fidelization, and 5 marketing campaigns were launched; a last campaign was launched at the end of the observation period.
data(MktDATA.Orig)
A data frame with 2224 observations and the following 19 variables (levels of the variables listed in alphabetical order):
CustId
(num
): customer's identification label
Gender
(chr
): customer's gender (F
, M
)
Age
(num
): customer's age (in years)
Education
(chr
): customer's level of education(College
, Graduate
,
HighSchool
, Post-Grad
)
Marital_Status
(chr
): customer's marital status
(Divorced
, Married
, Single
, Together
, Widow
)
Children
(num
): number of children in the household
Kids
(num
): number of kids aged less than 12 in the
household
Income
(chr
): customer's income (measured in classes)
Baseline
(num
): index (from 0 to 1) assigned by the marketing dept
indicating how promising the customer was judged at the beginning of
the observation period
LikeMost
(chr
): Most frequently bought category in the last two
years (P.A
, P.B
, P.C
)
TotVal
(num
): amount spent in the last 2 years
NPickUp_Purch
(num
): number of purchases made through company's
website and picked up in physical store
NWeb_Purch
(num
): number of purchases made through company's website
and delivered at home
NStore_Purch
(num
): number of purchases made in a physical store
NDeals
(num
): number of products purchases with discount
CustClass
(chr
): customer's classification (assigned by the marketing
dept) based on past profitability (Bronze
, Gold
, Platinum
,
Silver
)
PastCampaigns
(num
): number of offers accepted by the customer in the
last 2 years' marketing campaigns
LastCampaign
(num
): binary variable (0/1) indicating whether (1) or
not (0) the customer accepted the offer in the campaign launched at
the end of the observation period
WouldSuggest
(chr
): variable signalling whether (Yes
) or not
(No
) the customer declared they would suggest the company's products
to friends and family
The data set has been adapted from https://www.kaggle.com/code/dmitryuarov/customers-clustering-eda.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.