Credit Card Dataset for Clustering
收藏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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资源简介:
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
提供机构:
www.kaggle.com
搜集汇总
数据集介绍

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。
以上内容由遇见数据集搜集并总结生成



