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Credit Card Dataset for Clustering

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www.kaggle.com2018-03-02 更新2025-01-21 收录
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https://www.kaggle.com/arjunbhasin2013/ccdata
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This case requires to develop a customer segmentation to define marketing strategy. The sample Dataset summarizes the usage behavior of about 9000 active credit card holders during the last 6 months. The file is at a customer level with 18 behavioral variables. Following is the Data Dictionary for Credit Card dataset :- **CUST_ID** : Identification of Credit Card holder (Categorical) **BALANCE** : Balance amount left in their account to make purchases ( **BALANCE_FREQUENCY** : How frequently the Balance is updated, score between 0 and 1 (1 = frequently updated, 0 = not frequently updated) **PURCHASES** : Amount of purchases made from account **ONEOFF_PURCHASES** : Maximum purchase amount done in one-go **INSTALLMENTS_PURCHASES** : Amount of purchase done in installment **CASH_ADVANCE** : Cash in advance given by the user **PURCHASES_FREQUENCY** : 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" **PURCHASES_TRX** : Numbe of purchase transactions made **CREDIT_LIMIT** : Limit of Credit Card for user **PAYMENTS** : Amount of Payment done by user **MINIMUM_PAYMENTS** : Minimum amount of payments made by user **PRCFULLPAYMENT** : Percent of full payment paid by user **TENURE** : Tenure of credit card service for user

本案例需开发客户细分模型以制定营销策略。所提供的样本数据集概述了在过去6个月内约9000名活跃信用卡持卡人的使用行为。该文件以客户级别为基础,包含18个行为变量。 以下为信用卡数据集的数据字典: **CUST_ID**:信用卡持卡人标识(分类变量) **BALANCE**:账户中可用于购物的余额 **BALANCE_FREQUENCY**:余额更新的频率,评分介于0到1之间(1表示频繁更新,0表示不频繁更新) **PURCHASES**:通过账户进行的购买金额 **ONEOFF_PURCHASES**:一次性最大购买金额 **INSTALLMENTS_PURCHASES**:分期购买金额 **CASH_ADVANCE**:用户预借的现金 **PURCHASES_FREQUENCY**:购买频率,评分介于0到1之间(1表示频繁购买,0表示不频繁购买) **ONEOFFPURCHASESFREQUENCY**:一次性购买发生的频率(1表示频繁购买,0表示不频繁购买) **PURCHASESINSTALLMENTSFREQUENCY**:分期购买发生的频率(1表示频繁完成,0表示不频繁完成) **CASHADVANCEFREQUENCY**:预付现金的频率 **CASHADVANCETRX**:使用“预借现金”的交易次数 **PURCHASES_TRX**:购买交易次数 **CREDIT_LIMIT**:信用卡的信用额度 **PAYMENTS**:用户完成的支付金额 **MINIMUM_PAYMENTS**:用户做出的最低支付金额 **PRCFULLPAYMENT**:用户支付全额的百分比 **TENURE**:用户信用卡服务的期限
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搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集是一个信用卡客户行为数据集,包含约9000名客户的18个行为变量,用于客户细分和营销策略制定。数据集提供了详细的客户行为指标,如账户余额、购买频率和信用额度等,适用于聚类分析。
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