Places Data: McDonald's in the United States

Foursquare has developed a map of the world using first-party data derived from over 14 billion explicit check-ins from our consumer apps and other high quality location data sources. This trial dataset is a subset of Foursquare's Places dataset. This datatset contains a list of McDonald's locations in the U.S. and is available for free download. Foursquare’s Places dataset comes with 25 core attributes and a multitude of optional extended attributes (6 add-on options). The full data schema can be viewed [here](https://location.foursquare.com/places/docs/flat-file-data-schema). For more information please speak to your Foursquare representative via [e-mail]. Core Attributes Included: - fsq_id - name - name_translated - latitude/longitude - geocodes - address - address_extended - locality - dma - region - postcode - country - admin_region - post_town - neighborhood - po_box - date_created - date_refreshed - fsq_category_ids - fsq_category_labels - fsq_chain_id - fsq_chain_name - parent_id - subvenue_count - census_block_id - closed_bucket Rich Attribute Add On Options: All Extended Attributes (91 fields) - Ratings, Hours, & Social Media (13 fields) - Tips and Tastes (3 fields) - Best Photos (2 fields) - Calculated Scores (4 fields) - Tags (68 fields) - Data Matching (1 field) ** Use Case Examples:** - Place Search/Recommendation for Consumer Experience. Types of customers range from social platforms (e.g. enabling global geotags for Twitter) to food delivery services (e.g. restaurant discovery for sales outreach) to ride hail (e.g. address and place name matching for Uber). - Trade area analysis, competitive analysis, and market research. Businesses with a physical footprint will benefit from Foursquare Places data to better enable site selection decisions and unlock the potential value of a geolocation. - Transaction data enrichment. Transaction data can be messy, inconsistent, and lack key information necessary to give context to the transaction. By joining transaction data with POI data, businesses can better understand buyer behavior and model spend patterns – this enriched data helps improve products and delivers more engaging customer experiences For more information please reach out to [e-mail]

搜集汇总

背景与挑战

背景概述

该数据集是Foursquare Places数据集的子集，免费提供美国麦当劳地点的列表，包含核心属性如地理位置和地址，并支持扩展属性选项。它适用于地点推荐、市场分析和交易数据增强等应用场景。