电商购物用户行为分析数据

电商购物用户行为分析数据
这份数据集是一个顾客购物信息的集合，记录了不同顾客在不同时间的购物行为。每一行代表一个单独的购物发票记录，数据集中包含了以下属性：
数据属性：

1. invoice_no: 发票号码，是每次交易的唯一标识符。
2. customer_id: 顾客的ID，用于标识不同的顾客。
3. gender: 顾客的性别，分为"Male"（男性）和"Female"（女性）。
4. age: 顾客的年龄。
5. category: 顾客购买的商品类别，如"Clothing"（服装）、"Shoes"（鞋子）、"Books"（书籍）、"Cosmetics"（化妆品）、"Toys"（玩具）、"Food & Beverage"（食品和饮料）、"Technology"（科技产品）、"Souvenir"（纪念品）等。
6. quantity: 顾客购买的商品数量。
7. price: 顾客为这次购物支付的总金额。
8. payment_method: 顾客使用的支付方式，包括"Alipay"（支付宝）、"WeChat Pay"（微信支付）、"Card"（银行卡）。
9. invoice_date: 发票日期，记录了交易发生的日期。

E-commerce Shopping User Behavior Analysis Dataset

This dataset is a collection of customer shopping information, recording the shopping behaviors of different customers at different times. Each row represents a single shopping invoice record. The dataset contains the following attributes:

1. invoice_no: Invoice number, the unique identifier for each transaction.
2. customer_id: Customer ID, used to identify distinct customers.
3. gender: Customer's gender, with available values of "Male" and "Female".
4. age: Customer's age.
5. category: Product category purchased by the customer, such as "Clothing", "Shoes", "Books", "Cosmetics", "Toys", "Food & Beverage", "Technology", "Souvenir" and the like.
6. quantity: Number of goods purchased by the customer.
7. price: Total amount paid by the customer for this shopping transaction.
8. payment_method: Payment method used by the customer, including "Alipay", "WeChat Pay", "Card".
9. invoice_date: Invoice date, which records the date when the transaction took place.