covid_data: Coronavirus Data
In smorsink1/ncov2019: Import and Visualize COVID-19, Zika, and SARS Data
Description
A dataset of coronavirus data with rows being location/date/value_type combinations,
columns being identifying information and the associated value, updated thru 2020-03-06
Format
A tibble with 27405 rows and 9 columns
- disease
"covid" for all rows
- province
the most granular location identifier
- region
a general location identifier, usually the country
- lat
the latitude of the location
- long
the longitude of the location
- date
the date of the observation
- value
an integer representing the quantity of value_type for that observation
- value_type
either "cases", "deaths", or "recovered"
- pop_2018
region population data for 2018
Source
smorsink1/ncov2019 documentation built on March 27, 2020, 7:22 p.m.
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Description
A dataset of coronavirus data with rows being location/date/value_type combinations, columns being identifying information and the associated value, updated thru 2020-03-06
Format
A tibble with 27405 rows and 9 columns
- disease
"covid" for all rows
- province
the most granular location identifier
- region
a general location identifier, usually the country
- lat
the latitude of the location
- long
the longitude of the location
- date
the date of the observation
- value
an integer representing the quantity of value_type for that observation
- value_type
either "cases", "deaths", or "recovered"
- pop_2018
region population data for 2018
Source
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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