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Covid Job Impacts – US Hiring Data Since March 1 2020 Dataset for Machine Learning

Install DagsHub:

pip install dagshub
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To stream this data directly on DagsHub

from dagshub.streaming import DagsHubFilesystem

fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/DagsHub-Datasets/us-hiring-rates-pandemic-dataset")

fs.listdir("s3://greenwichhr-covidjobimpacts")
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Description

This dataset provides daily updates on the volume of US job listings filtered by geography industry job family and role; normalized to pre-covid levels. These data files feed the business intelligence visuals at covidjobimpacts.greenwich.hr, a public-facing site hosted by Greenwich.HR and OneModel Inc. Data is derived from online job listings tracked continuously, calculated daily and published nightly. On average data from 70% of all new US jobs are captured, and the dataset currently contains data from 3.3 million hiring organizations. Data for each filter segment is represented as the 7-day average of new job listings for a specific date, expressed as a percentage of the corresponding value on March 1, 2020.

Additional information

Update frequency

Daily

License

This data is made available under a Creative Commons license.
This data is free to use for non-commercial purposes under the terms of the license. You must
ensure that you acknowledge the source of this data as prescribed by this license. Data or any
derivatives made using the data are for internal use only and may not be distributed or otherwise
shared.

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