scrapeCovidData: Scrapes Time-Series Coronavirus Data

In smorsink1/ncov2019: Import and Visualize COVID-19, Zika, and SARS Data

Description

Imports data from public Johns Hopkins CSSEGISandData github repo on day-by-day coronavirus confirmed cases, deaths, and recoveries by location

Usage

scrapeCovidData(type = "cases")

Arguments

type	a string representing the type of coronavirus data desired: either "cases" for confirmed cases (default), "deaths" for deaths, or "recovered" for recoveries

Value

Output is a dataframe with rows representing locations, columns representing dates, values representing the number of cases/deaths/recovered for that location/date combination

Examples

scrapeCovidData()    # defaults to scrape "cases"
scrapeCovidData("cases")
scrapeCovidData("deaths")
scrapeCovidData("recovered") 

smorsink1/ncov2019 documentation built on March 27, 2020, 7:22 p.m.