Baselight

Covid19 Forecasting Metadata

Metadata for Covid19 forecasting challenges

@kaggle.rohanrao_covid19_forecasting_metadata

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About this Dataset

Covid19 Forecasting Metadata

Context

There are plenty of datasets that are being explored for forecasting Covid-19. This is my version compiled from various sources and cleaned for easy use.

Content

The data contains metadata of regions.

Country + State

  • lat
  • lon
  • continent
  • population
  • area
  • density

Country + State + Date

  • Recoveries up to 2020-05-08

Acknowledgements

All the data is compiled from Wikipedia and John Hopkins University. They are restructured to be aligned with the Covid-19 Forecasting Competitions.

Wikipedia: https://www.wikipedia.org/
JHU GitHub: https://github.com/CSSEGISandData/COVID-19

Tables

Region Date Metadata

@kaggle.rohanrao_covid19_forecasting_metadata.region_date_metadata
  • 39.23 KB
  • 27720 rows
  • 4 columns
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CREATE TABLE region_date_metadata (
  "province_state" VARCHAR,
  "country_region" VARCHAR,
  "date" TIMESTAMP,
  "recoveries" BIGINT
);

Region Metadata

@kaggle.rohanrao_covid19_forecasting_metadata.region_metadata
  • 21.08 KB
  • 320 rows
  • 8 columns
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CREATE TABLE region_metadata (
  "country_region" VARCHAR,
  "province_state" VARCHAR,
  "lat" DOUBLE,
  "lon" DOUBLE,
  "continent" VARCHAR,
  "population" BIGINT,
  "area" BIGINT,
  "density" DOUBLE
);

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