The COVID19_STATEDATA table contains daily counts by state of the number of reported positive, negative, and pending tests, and the number of hospitalizations and deaths.
The TSA_TRAVEL_NUMBERS table contains a comparison of current daily TSA checkpoint counts with corresponding counts from the prior year.
The COVID19_TWEET_COUNTS_BY_HASHTAG table contains daily counts of popular Covid19 hashtags and accompanying hashtags seen in tweets with popular Covid19 hashtags.
Example use cases include:
Compare the rate of increase in positive tests across states via COVID19_STATEDATA.
Compute daily correlation between travel counts and tweets with specific hashtags by joining *COVID19_TWEET_COUNTS_BY_HASHTAG* to *TSA_TRAVEL_NUMBERS.*
Join *COVID19_STATEDATA* to an external table that tracks daily weather in order to compute correlations between new positive tests on a given date and the temperature in the days preceding that date.
Visit our Website for a full list of fields – https://www.highlandmath.com/datasets/covid-19-data/
| Heapery Attribution License | Heapery-Private |
| Category | Business & Industry |
| Data Schema | |
| Support Contact Email Address | support@heapery.com |
| Data Format | |
| Version number | |
| Language | English |
| Data Size | |
| Last Updated Date | 8/11/2020 |
| Refund Policy | Dataset is free and provided as-is |