Assisted Living in the United States

本数据集名为‘Assisted Living in the United States’，由普林斯顿大学等机构创建，涵盖美国50个州及哥伦比亚特区的44,638个辅助生活设施，总床位超过120万。数据集内容包括设施名称、地址、容量等详细信息，通过与美国社区调查数据结合，用于评估社区护理的可及性。创建过程中，研究团队通过各州许可机构收集数据，并采用光学字符识别等技术处理。该数据集主要用于解决公共健康问题，如评估老年人和严重精神疾病患者的长期护理需求，以及如何优化社区护理资源的分配。

This dataset is named *Assisted Living in the United States*, and was developed by Princeton University and other affiliated institutions. It covers 44,638 assisted living facilities across all 50 U.S. states and the District of Columbia, with over 1.2 million total beds. The dataset contains detailed information including facility names, addresses, capacity and other relevant details. It is integrated with American Community Survey (ACS) data to evaluate the accessibility of community-based care services. During its development, the research team collected data via state licensing authorities and processed the data using technologies such as optical character recognition (OCR). This dataset is primarily intended to address public health issues, such as assessing the long-term care needs of elderly individuals and patients with severe mental illnesses, as well as optimizing the allocation of community care resources.

原始信息汇总

辅助生活设施数据集

数据集概述

• 名称：辅助生活设施数据集
• 范围：覆盖美国所有50个州及哥伦比亚特区的超过44,000个辅助生活设施。
• 文件：assisted-living-facilites.csv

数据处理

• 代码：包含用于收集、清洗和分析数据的Python脚本。
• 文件结构：
  • notebooks：包含处理、清洗和分析数据的主要代码。
  • data：包含额外的数据文件。
    • raw-state-data：包含从50个州及哥伦比亚特区收集的原始数据及各州数据的处理阶段。
    • county-data-for-replication：包含从ACS数据收集的表格，用于复制过去的辅助生活研究。
    • other-data：包含在过程中使用的其他数据文件，包括一些有趣的图形。