遇见数据集

Residential & Workplace Traffic Patterns for Snowflake Streamlit Hackathon

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Snowflake2025-03-25 更新2025-04-09 收录
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资源简介:

This dataset provides daily ratios of visitors to three major department stores—Shinsegae Gangnam, Lotte Main Store, and The Hyundai Seoul—classified by whether their inferred origin is home or office. It is based on foot traffic data and includes region-level information (city, district, neighborhood) for each visitor group. The data supports comparative analysis of visitor behavior depending geographic origin. Ideal for mobility analysis, retail marketing, and strategic store planning.

提供机构:
loplat
创建时间:
2025-03-24
搜集汇总
数据集介绍
Residential & Workplace Traffic Patterns for Snowflake Streamlit Hackathon 数据集图片
背景与挑战
背景概述
该数据集提供了首尔三家主要百货商店的每日访客比例,根据访客推断的出发地(家庭或工作场所)进行分类,并包含城市、区、社区等区域级别信息。它支持基于地理来源的访客行为比较分析,适用于流动性分析、零售营销和商店战略规划。
以上内容由遇见数据集搜集并总结生成
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