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Facts and Dimensions All Data (Instant Trial Access)

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Snowflake2024-03-06 更新2024-05-01 收录
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资源简介:
A one stop database of every open facts and dimensions dataset available. Data from data.gov websites from around the world, IMF, World Bank, NHS, ONS, Ordnance Survey. Customers request new datasets to be added, at no addl cost, using our forum. These datasets are added here for use by everyone. The database is growing every week. Most data is UK health based due to that being where Facts and Dimensions began its life. We are increasingly adding data from other sectors and other parts of the world too. As at time of writing, we have 321 schemas, with 6201 tables of data. Over 20billion rows of aggregated data. We have data covering: 1. Weather 2. NHS Waiting lists 3. SE Asian demographics 4. Police and crime stats 5. Geographical hierarchies for use with the stats data 6. Postcode data 7. Workforce 8. Disability data 9. A&E data 10. Emergency care data 11. Suicides data 12. Stroke data 13. Coronavirus data 14. Safeguarding 15. Vaccine data 16. Health Acquired Infections data 17. Courts data 18. Population data including projections and ethnicity, age, deprivation etc 19. Very wide variety of health data 20. Costings 21. Mental Health 22. Mortality 23. Smoking 24. Obesity 25. Patent surveys 26. Diagnostics 27. Childrens health 28. Maternity 29. Cancer 30. Massive and ever increasingly more data. All tables are formed in consistent manner for the purpose of querying them together any which way you need. See full list (updated daily): https://factsanddimensions.co.uk/product We have a second share (called Facts and Dimensions All Data (Addl T&Cs Required) that also includes data such as SNOMED; to access that share, you will need to contact us directly as that requires additional terms with the data owners to be accepted.
提供机构:
Facts and Dimensions Ltd
创建时间:
2024-03-06
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集整合了全球开放数据(如data.gov、世界银行等),包含6201个标准化表格,覆盖医疗健康、人口统计、地理信息等30余个领域。作为动态更新的资源库,其特色在于持续免费添加用户请求的数据,并以英国医疗数据为核心持续扩展全球多行业数据。
以上内容由遇见数据集搜集并总结生成
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