US GeoSpatial Data Walmart - Sample

We offer place visitation data which positions people within certain points of interest. Our proprietary data platform and algorithms processes billions of raw location signals everyday to position mobile users within polygonal geofences across millions of locations. We automatically detect anomalies remove employees and passerbys to produce a clean data sets of visits to retail automotive fast food and other POIs.

We will provide similar data globally across all countries

Tables
1. Visitation data for any POI's
Provided Sample data for Walmart Visits

Fields

- ID
- Name
- Address
- postcode
- do_date
- year
- month
- day_of_week
- part_of_day
- n_visitors
- distance_from_home
- travelled_countries
- visitor_country_origin
- visitor_home_origin
- visitor_work_origin
- carrier
- brand_visited
- place_categories
- geo_behaviour
- make
- model
- os_version
- ratio_age_18_24
- ratio_age_25_34
- ratio_age_35_44
- ratio_age_45_54
- ratio_age_55
- ratio_female
- ratio_male

搜集汇总

背景与挑战

背景概述

该数据集为美国沃尔玛门店的样本地理空间数据，通过处理海量移动设备位置信号生成，包含访客数量、人口统计、出行特征等详细维度。其数据覆盖全球范围，当前样本聚焦零售场所的到访分析。