Tidy format dataset of the 2019 Novel Coronavirus COVID-19 (2019-nCoV) epidemic.
Global data by state.
The data are downloaded in real-time, processed and merged with demographic indicators (WB).
world(type = "state")one of country (data by country) or state (data by state). Default state, data by state.
Tidy format tibble (data.frame) grouped by id:
id in the form "country|state|city".
date.
administrative area level 1.
administrative area level 2.
administrative area level 3.
latitude.
longitude.
the number of deaths.
the number of cases.
the number of tests.
daily increase in the number of deaths.
daily increase in the number of cases.
daily increase in the number of tests.
total population.
population ages 0-14 (% of total population).
population ages 15-64 (% of total population).
population ages 65+ (% of total population).
median age of population.
population density per km2.
population mortality rate.
Data pulled from the repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). Also, Supported by ESRI Living Atlas Team and the Johns Hopkins University Applied Physics Lab (JHU APL). This repository and its contents herein, including all data, mapping, and analysis, copyright 2020 Johns Hopkins University, all rights reserved, is provided to the public strictly for educational and academic research purposes. The Website relies upon publicly available data from multiple sources, that do not always agree. The Johns Hopkins University hereby disclaims any and all representations and warranties with respect to the Website, including accuracy, fitness for use, and merchantability. Reliance on the Website for medical guidance or use of the Website in commerce is strictly prohibited. Data Sources:
# NOT RUN {
# data by country
x <- world("country")
# data by state
x <- world("state")
# }
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