Sold by: Rearc
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This resource contains data assembled by the NYC Department of Health and Mental Hygiene (DOHMH)'s COVID-19 Response team, and provides insight into the current state of the COVID-19 pandemic in New York City. As DOHMH collects their data in realtime, the values in the included datasets are subject to change.
Overview
The source code outlining how this product gathers, transforms, revises and publishes its datasets is available at https://github.com/rearc-data/nyc-doh-covid-19 .
Main Overview:
This resource contains data assembled by the NYC Department of Health and Mental Hygiene (DOHMH)'s COVID-19 Response team, and provides insight into the current state of the COVID-19 pandemic in New York City. As DOHMH collects their data in realtime, the values in the included datasets are subject to change.
Data Source
- nyc-doh-covid-19-summary.csv: Total count of cases, hospitalizations and deaths
- nyc-doh-covid-19-case-hosp-death.csv: Daily count of cases, hospitalizations and deaths
- nyc-doh-covid-19-boro.csv: Cases by borough
- nyc-doh-covid-19-by-age.csv: Cases by age
- nyc-doh-covid-19-by-sex.csv: Cases by sex
- nyc-doh-covid-19-tests-by-zcta.csv: Cases by zipcode
- nyc-doh-covid-19-probable-confirmed-dod.csv: Daily count of confirmed and probabale COVID-19 deaths
More Information
- Source - GitHub | NYC Coronavirus (COVID-19) Data
- NYC Health | COVID-19: Data
- Frequency: Daily
- Format: CSV
Contact Details
- If you find any issues or have enhancements with this product, open up a GitHub issue and we will gladly take a look at it. Better yet, submit a pull request. Any contributions you make are greatly appreciated ❤️.
- If you are interested in any other open datasets, please create a request on our project board here .
- If you have questions about this source data, please contact the City of New York.
- If you have any other questions or feedback, send us an email at data@rearc.io .
About Rearc
Rearc is a cloud, software and services company. We believe that empowering engineers drives innovation. Cloud-native architectures, modern software and data practices, and the ability to safely experiment can enable engineers to realize their full potential. We have partnered with several enterprises and startups to help them achieve agility. Our approach is simple — empower engineers with the best tools possible to make an impact within their industry.
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Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
NYC Coronavirus (COVID-19) Data | New York City Department of Health | All historical revisions | All future revisions | Not included | Not included |
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