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随着电商⾏业近⼏年的迅猛发展,电⼦商务从早些年的粗放式经营,逐步转化为精细化运营。随着 平台数据量的不断积累, 通过数据分析挖掘消费者的潜在需求,消费偏好成为平台运营过程中的重要环节。本项⽬基于某电商平台⽤户⾏为数据,在 MySQL 关系型数据库,探索⽤户⾏为规律,寻找⾼价值⽤户;分析商品特征,寻找⾼贡献商品;分析产品功能,优化产品路径。

active 2024-02-17 → 2024-02-17 (UTC)

Complete coverage27,986 / 27,986 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-24 (UTC)
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Line chart, 1 days from 2024-02-17 to 2024-02-17. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

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