Baselight

COVID-19 Coronavirus Dataset

Coronavirus Data released by John Hopkins

@kaggle.vignesh1694_covid19_coronavirus

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About this Dataset

COVID-19 Coronavirus Dataset

Context

A SARS-like virus outbreak originating in Wuhan, China, is spreading into neighboring Asian countries, and as far afield as Australia, the US a and Europe.

On 31 December 2019, the Chinese authorities reported a case of pneumonia with an unknown cause in Wuhan, Hubei province, to the World Health Organisation (WHO)’s China Office. As more and more cases emerged, totaling 44 by 3 January, the country’s National Health Commission isolated the virus causing fever and flu-like symptoms and identified it as a novel coronavirus, now known to the WHO as 2019-nCoV.

The following dataset shows the numbers of spreading coronavirus across the globe.

Content

Sno - Serial number
Date - Date of the observation
Province / State - Province or state of the observation
Country - Country of observation
Last Update - Recent update (not accurate in terms of time)
Confirmed - Number of confirmed cases
Deaths - Number of death cases
Recovered - Number of recovered cases

Acknowledgements

Thanks to John Hopkins CSSE for the live updates on Coronavirus and data streaming.
Source: https://github.com/CSSEGISandData/COVID-19
Dashboard: https://public.tableau.com/profile/vignesh.coumarane#!/vizhome/DashboardToupload/Dashboard12

Inspiration

Inspired by the following work:
https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6

Tables

N 2019 Ncov Data

@kaggle.vignesh1694_covid19_coronavirus.n_2019_ncov_data
  • 245.92 KB
  • 24709 rows
  • 8 columns
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CREATE TABLE n_2019_ncov_data (
  "sno" BIGINT,
  "date" TIMESTAMP,
  "province_state" VARCHAR,
  "country" VARCHAR,
  "last_update" VARCHAR,
  "confirmed" BIGINT,
  "deaths" BIGINT,
  "recovered" BIGINT
);

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