covid_south_korea: The 2019 Novel Coronavirus COVID-19 (2019-nCoV) South Korea...
In Covid19R/coronavirus: The 2019 Novel Coronavirus COVID-19 (2019-nCoV) Dataset
Description
Usage
Format
Details
Source
Examples
Description
Daily summary of the Coronavirus (COVID-19) confirmed cases in South Korea by
province and city.
Usage
1
Format
A data frame with 4 variables.
- date
Date in YYYY-MM-DD format.
- city
Name of city.
- province
Name of province.
- total
Number of confirmed cases.
Details
The dataset contains the daily summary of the Coronavirus confirmed
cases in South Korea by province and city.
Source
Wikipedia contributors. 2020 coronavirus pandemic in South Korea.
In Wikipedia, The Free Encyclopedia. Retrieved from
here.
Examples
1
2
3
4
5
6
7
8
9
data(covid_south_korea)
require(dplyr)
# Get summary of total cases by city
covid_south_korea %>%
group_by(city) %>%
summarise(total_cases = sum(total))
Covid19R/coronavirus documentation built on May 19, 2020, 11:31 p.m.
R Package Documentation
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Description Usage Format Details Source Examples
Description
Daily summary of the Coronavirus (COVID-19) confirmed cases in South Korea by province and city.
Usage
1 |
Format
A data frame with 4 variables.
- date
Date in YYYY-MM-DD format.
- city
Name of city.
- province
Name of province.
- total
Number of confirmed cases.
Details
The dataset contains the daily summary of the Coronavirus confirmed cases in South Korea by province and city.
Source
Wikipedia contributors. 2020 coronavirus pandemic in South Korea. In Wikipedia, The Free Encyclopedia. Retrieved from here.
Examples
1 2 3 4 5 6 7 8 9 | data(covid_south_korea)
require(dplyr)
# Get summary of total cases by city
covid_south_korea %>%
group_by(city) %>%
summarise(total_cases = sum(total))
|
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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