eCommerce events history in electronics store

### About

This file contains behavior data for 5 months (Oct 2019 – Feb 2020) from a large electronics online store.

Each row in the file represents an event. All events are related to products and users. Each event is like many-to-many relation between products and users.

Data collected by [Open CDP](https://rees46.com/en/open-cdp) project. Feel free to use open source customer data platform.

### More datasets

Checkout another datasets:

1. https://www.kaggle.com/mkechinov/ecommerce-behavior-data-from-multi-category-store
2. https://www.kaggle.com/mkechinov/ecommerce-purchase-history-from-electronics-store
3. https://www.kaggle.com/mkechinov/ecommerce-events-history-in-cosmetics-shop
4. https://www.kaggle.com/mkechinov/ecommerce-purchase-history-from-jewelry-store
5. https://www.kaggle.com/mkechinov/ecommerce-events-history-in-electronics-store - you're reading it right now
6. [NEW] https://www.kaggle.com/datasets/mkechinov/direct-messaging

### How to read it

There are different types of events. See below.

Semantics (or how to read it):

> User **user_id** during session **user_session** added to shopping cart (property **event_type** is equal **cart**) product **product_id** of brand **brand** of category **category_code** (**category_code**) with price **price** at **event_time**

### File structure

| Property | Description |
| --- | --- |
|**event_time**|Time when event happened at (in UTC).|
|**event_type**|Only one kind of event: purchase.|
|**product_id**|ID of a product|
|**category_id**|Product's category ID|
|**category_code**|Product's category taxonomy (code name) if it was possible to make it. Usually present for meaningful categories and skipped for different kinds of accessories.|
|**brand**|Downcased string of brand name. Can be missed.|
|**price**|Float price of a product. Present.|
|**user_id**|Permanent user ID.|
|** user_session**|Temporary user's session ID. Same for each user's session. Is changed every time user come back to online store from a long pause.|

### Event types

Events can be:

- `view` - a user viewed a product
- `cart` - a user added a product to shopping cart
- `remove_from_cart` - a user removed a product from shopping cart
- `purchase` - a user purchased a product

### Multiple purchases per session

A session can have multiple **purchase** events. It's ok, because it's a single order.

### Many thanks

Thanks to [REES46 Marketing Platform](https://rees46.com) for this dataset.

### Using datasets in your works, books, education materials

You can use this dataset for free. Just mention the source of it: link to this page and link to [REES46 Marketing Platform](https://rees46.com).

{'About': '本文件包含了某大型电子产品在线商店在2019年10月至2020年2月期间长达五个月的用户行为数据。', 'Each_row_in_the_file_represents_an_event': '文件中的每一行代表一个事件。', 'All_events_are_related_to_products_and_users': '所有事件均与产品和用户相关。', 'Each_event_is_like_many-to-many_relation_between_products_and_users': '每个事件均代表产品与用户之间的一种多对多关系。', 'Data_collected_by_Open_CDP_project': '数据由 [Open CDP](https://rees46.com/en/open-cdp) 项目收集。', 'Feel_free_to_use_open_source_customer_data_platform': '请自由使用开源客户数据平台。', 'Checkout_another_datasets': '请查看其他数据集：', '1': '1. [https://www.kaggle.com/mkechinov/ecommerce-behavior-data-from-multi-category-store](https://www.kaggle.com/mkechinov/ecommerce-behavior-data-from-multi-category-store)', '2': '2. [https://www.kaggle.com/mkechinov/ecommerce-purchase-history-from-electronics-store](https://www.kaggle.com/mkechinov/ecommerce-purchase-history-from-electronics-store)', '3': '3. [https://www.kaggle.com/mkechinov/ecommerce-events-history-in-cosmetics-shop](https://www.kaggle.com/mkechinov/ecommerce-events-history-in-cosmetics-shop)', '4': '4. [https://www.kaggle.com/mkechinov/ecommerce-purchase-history-from-jewelry-store](https://www.kaggle.com/mkechinov/ecommerce-purchase-history-from-jewelry-store)', '5': '5. [https://www.kaggle.com/mkechinov/ecommerce-events-history-in-electronics-store](https://www.kaggle.com/mkechinov/ecommerce-events-history-in-electronics-store) - 正如您现在所阅读的', '6': '6. [NEW] [https://www.kaggle.com/datasets/mkechinov/direct-messaging](https://www.kaggle.com/datasets/mkechinov/direct-messaging)', 'How_to_read_it': '读取方式如下：', 'Semantics_or_how_to_read_it': '语义（或读取方式）：', 'User_user_id_during_session_user_session_added_to_shopping_cart_property_event_type_is_equal_cart_product_product_id_of_brand_brand_of_category_category_code_category_code_with_price_price_at_event_time': '用户 **user_id** 在会话 **user_session** 中将品牌 **brand** 的产品 **product_id** 添加至购物车（属性 **event_type** 等于 **cart**），产品所属类别为 **category_code**（**category_code**），价格为 **price**，发生时间为 **event_time**。', 'File_structure': '文件结构如下：', 'event_time': '事件发生时间（UTC时间）。', 'event_type': '唯一的事件类型：购买。', 'product_id': '产品的ID。', 'category_id': '产品的类别ID。', 'category_code': '产品的类别分类（代码名称），若可能则提供。通常对于有意义的类别提供，对于不同种类的配件则省略。', 'brand': '品牌名称的字符串，小写形式。可能存在缺失。', 'price': '产品的浮点价格。存在。', 'user_id': '永久用户ID。', 'user_session': '临时用户会话ID。对于每个用户的会话是相同的。每次用户在长时间暂停后返回在线商店时，都会更改。', 'Events_can_be': '事件可以是：', 'view': '查看 - 用户查看了一个产品。', 'cart': '购物车 - 用户将产品添加至购物车。', 'remove_from_cart': '从购物车移除 - 用户从购物车中移除了产品。', 'purchase': '购买 - 用户购买了产品。', 'A_session_can_have_multiple_purchase_events': '一个会话可以有多个 **购买** 事件。这是可以的，因为它代表一个单独的订单。', 'Many_thanks': '感谢 [REES46 营销平台](https://rees46.com) 提供此数据集。', 'Using_datasets_in_your_works_books_education_materials': '您可以使用此数据集进行免费使用。只需提及数据来源：链接到本页面以及链接到 [REES46 营销平台](https://rees46.com)。'}