京公网安备11010802038645号京ICP备20022436号-3京EDI证京B2-20220639区块链京网信备 1101082276223860002X号以下为卖家选择提供的数据验证报告：
数据描述
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 project. Feel free to use open source customer data platform.
More datasets
Checkout another datasets:
- https://www.kaggle.com/mkechinov/ecommerce-behavior-data-from-multi-category-store
- https://www.kaggle.com/mkechinov/ecommerce-purchase-history-from-electronics-store
- https://www.kaggle.com/mkechinov/ecommerce-events-history-in-cosmetics-shop
- https://www.kaggle.com/mkechinov/ecommerce-purchase-history-from-jewelry-store
- https://www.kaggle.com/mkechinov/ecommerce-events-history-in-electronics-store - you're reading it right now
- [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 productcart- a user added a product to shopping cartremove_from_cart- a user removed a product from shopping cartpurchase- 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 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.
eCommerce events history in electronics store
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