customer-segmentation's Introduction

Customer-segmentation

About Dataset

Edit The data source was taken from the Kaggle challenge called Credit Card Dataset for Clustering. The sample Dataset summarizes the usage behavior of about 9000 active credit cardholders during the last six months

The file is at a customer level with 18 behavioral variables.

Following is the Data Dictionary for Credit Card dataset:

CUSTID: Identification of Credit Cardholder (Categorical)
BALANCE: Balance amount left in their account to make purchases
BALANCEFREQUENCY: How frequently the Balance is updated, score between 0 and 1 (1 = frequently updated, 0 = not frequently updated)
PURCHASES: Amount of purchases made from the account
ONEOFFPURCHASES: Maximum purchase amount did in one-go
INSTALLMENTSPURCHASES: Amount of purchase done in installment
CASH ADVANCE: Cash in advance given by the user
PURCHASESFREQUENCY: How frequently the Purchases are being made score between 0 and 1 (1 = frequently purchased, 0 = not frequently purchased)
ONEOFFPURCHASESFREQUENCY: How frequently Purchases are happening in one-go (1 = frequently purchased, 0 = not frequently purchased)
PURCHASESINSTALLMENTSFREQUENCY: How frequently purchases in installments are being done (1 = frequently done, 0 = not frequently done)
CASHADVANCEFREQUENCY: How frequently the cash in advance being paid
CASHADVANCETRX: Number of Transactions made with “Cash in Advanced”
PURCHASESTRX: Number of purchase transactions made
CREDIT LIMIT: Limit of Credit Card for user
PAYMENTS: Amount of Payment done by the user
MINIMUM_PAYMENTS: Minimum amount of payments made by the user
PRCFULLPAYMENT: Percent of full payment paid by the user
TENURE: Tenure of credit card service for user

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