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from dagshub.streaming import DagsHubFilesystem
fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/DagsHub-Datasets/us-hiring-rates-pandemic-dataset")
fs.listdir("s3://greenwichhr-covidjobimpacts")
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.
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.
Daily
COVID-19, hiring, economics, financial markets, market data
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Are you sure you want to delete this access key?
Are you sure you want to delete this access key?