etl_extract.etl_covid: Scrape COVID-19 Daily Reports from Github

In madisonvolpe/covid: Extract, Transform, and Load COVID-19 Data from Github

Description

etl_extract obtains COVID-19 daily reports uploaded by CSSEGISandData on Github. Arguments, such as month, day, and year let users obtain data for a specified time period. When no arguments are specified then all available data is scraped from github. The downloaded datsets are then saved as csvs in the raw folder within the directory that the user specified. If no directory was specified then the files are saved in the raw folder within the temp directory that was created.

Usage

## S3 method for class 'etl_covid'
etl_extract(obj, month, day, year, ...)

Arguments

obj	an etl object
month	numeric vector specifying month(s)
day	numeric vector specifying day(s)
year	numeric vector specifying year(s)
...	arguments passed to methods

Examples

covid_dat <- etl::etl("covid")
## Not run: 
covid_dat %>%
etl_extract(month = 4, day = 1:2, year = 2020)

## End(Not run)

madisonvolpe/covid documentation built on May 15, 2020, 5:43 a.m.