| Title: | The 2019 Novel Coronavirus COVID-19 (2019-nCoV) Dataset |
| Version: | 0.4.1 |
| Maintainer: | Rami Krispin <rami.krispin@gmail.com> |
| Description: | Provides a daily summary of the Coronavirus (COVID-19) cases by state/province. Data source: Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) Coronavirus https://systems.jhu.edu/research/public-health/ncov/. |
| License: | MIT + file LICENSE |
| Encoding: | UTF-8 |
| LazyData: | true |
| Depends: | R (≥ 3.0.2) |
| Suggests: | DT, dplyr, knitr, plotly, readr, rmarkdown, remotes, testthat (≥ 2.1.0) |
| Imports: | devtools(≥ 2.2.2) |
| URL: | https://github.com/RamiKrispin/coronavirus |
| BugReports: | https://github.com/RamiKrispin/coronavirus/issues |
| RoxygenNote: | 7.1.2 |
| VignetteBuilder: | knitr |
| NeedsCompilation: | no |
| Packaged: | 2023-03-18 13:03:55 UTC; ramikrispin |
| Author: | Rami Krispin [aut, cre],
Jarrett Byrnes 
[aut] |
| Repository: | CRAN |
| Date/Publication: | 2023-03-19 08:50:13 UTC |
The 2019 Novel Coronavirus COVID-19 (2019-nCoV) Dataset
Description
Daily summary of the Coronavirus (COVID-19) cases by state/province.
Usage
coronavirus
Format
A data frame with 7 variables.
- date
Date in YYYY-MM-DD format.
- province
Name of province/state, for countries where data is provided split across multiple provinces/states.
- country
Name of country/region.
- lat
Latitude of center of geographic region, defined as either country or, if available, province.
- long
Longitude of center of geographic region, defined as either country or, if available, province.
- type
An indicator for the type of cases (confirmed, death, recovered).
- cases
Number of cases on given date.
- uid
Country code
- iso2
Officially assigned country code identifiers with two-letter
- iso3
Officially assigned country code identifiers with three-letter
- code3
UN country code
- combined_key
Country and province (if applicable)
- population
Country or province population
- continent_name
Continent name
- continent_code
Continent code
Details
The dataset contains the daily summary of Coronavirus cases (confirmed, death, and recovered), by state/province.
Source
Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) Coronavirus website.
Examples
data(coronavirus)
require(dplyr)
# Get top confirmed cases by state
coronavirus %>%
filter(type == "confirmed") %>%
group_by(country) %>%
summarise(total = sum(cases)) %>%
arrange(-total) %>%
head(20)
# Get the number of recovered cases in China by province
coronavirus %>%
filter(type == "recovered", country == "China") %>%
group_by(province) %>%
summarise(total = sum(cases)) %>%
arrange(-total)
The COVID-19 Worldwide Vaccine Dataset
Description
Daily summary of the COVID-19 vaccination by country/province.
Usage
covid19_vaccine
Format
A data frame with 8 variables.
- date
Data collection date in YYYY-MM-DD format
- country_region
Country or region name
- continent_name
Continent name
- continent_code
Continent code
- combined_key
Country and province (if applicable)
- doses_admin
Cumulative number of doses administered. When a vaccine requires multiple doses, each one is counted independently
- people_at_least_one_dose
Cumulative number of people who received at least one vaccine dose. When the person receives a prescribed second dose, it is not counted twice
- population
Country or province population
- uid
Country code
- iso2
Officially assigned country code identifiers with two-letter
- iso3
Officially assigned country code identifiers with three-letter
- code3
UN country code
- fips
Federal Information Processing Standards code that uniquely identifies counties within the USA
- lat
Latitude
- long
Longitude
Details
The dataset provides the daily cumulative number of people who received vaccine (or at least one vaccine dose) by country and province (when applicable)
Source
- Vaccine data - Johns Hopkins University Centers for Civic Impact (JHU CCSE) COVID-19 repository.
- Country code (uid, iso2, iso3, etc.) are sourced from this repository, see section 4 for full data resources.
- Continent code mapping is sourced from DATA HUB
Examples
data(covid19_vaccine)
head(covid19_vaccine)
Get information about the datasets provided by the coronavirus package
Description
Returns information about the datasets in this package for covid19R harvesting
Usage
get_info_coronavirus()
Value
a tibble of information about the datasets in this package
Examples
## Not run:
# get the dataset info from this package
get_info_coronavirus()
## End(Not run)
Refresh the 2019 Novel Coronavirus COVID-19 (2019-nCoV) Dataset in the Covid19R Project Format
Description
Daily summary of the Coronavirus (COVID-19) cases by state/province.
Usage
refresh_coronavirus_jhu()
Value
A tibble object * date - The date in YYYY-MM-DD form * location - The name of the location as provided by the data source. * location_type - The type of location using the covid19R controlled vocabulary. * location_code - A standardized location code using a national or international standard. Drawn from iso-3166-2.js's version * location_code_type The type of standardized location code being used according to the covid19R controlled vocabulary. Here we use 'iso_3166_2' * data_type - the type of data in that given row using the covid19R controlled vocabulary. Includes cases_new, deaths_new, recovered_new. * value - number of cases of each data type
A data.frame object
Source
coronavirus - Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) Coronavirus website
Examples
## Not run:
# update the data
jhu_covid19_dat <- refresh_coronavirus_jhu()
## End(Not run)
Update the coronavirus Dataset
Description
Update the package datasets on the global environment with the most recent data on the Dev version
Usage
update_dataset(silence = FALSE)
Arguments
silence |
A boolean, if set to TRUE, will automatically install updates without prompt question, by default set to FALSE |
Details
As the CRAN version is being updated every one-two months, the dev version of the package is being updated on a daily bases. This function enables to refresh the package dataset to the most up-to-date data. Changes will be available on the global environment
Value
A data.frame object
Source
coronavirus - Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) Coronavirus website