Highland Math: COVID-19 Impact and Discourse

Analyze COVID-19 metrics and resulting societal effects

Description:

Highland Math has consolidated public data sets pertaining to the Covid19 pandemic and its societal impact.

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.

Update Frequency:

Monthly

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About the Provider:

Highland Math provides monetization and measurement solutions to data buyers and sellers, helping them generate a return on their investments in data. Our data intelligence platform, powered by machine learning, makes it possible for businesses to assess the value of data assets and implement strategies to leverage data more effectively within their organization or externally across the data ecosystem. Today, Highland Math powers data intelligence and monetization capabilities for over 60 data providers.

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