coronadatascraper_data: Time series cases, hospitalizations, and testing from Corona...

View source: R/coronadatascraper_data.R

coronadatascraper_dataR Documentation

Time series cases, hospitalizations, and testing from Corona Data Scraper project

Description

Corona Data Scraper pulls COVID-19 Coronavirus case data from verified sources, finds the corresponding GeoJSON features, and adds population data. All sources are cited right in the same row as the data. Covers testing, hospitalization, deaths, cases, icu. Includes population and geospatial coordinates.

Usage

coronadatascraper_data()

Value

a data.frame

Author(s)

Sean Davis seandavi@gmail.com

Source

https://coronadatascraper.com/timeseries.csv

References

https://coronadatascraper.com/#home

See Also

Other data-import: acaps_government_measures_data(), acaps_secondary_impact_data(), apple_mobility_data(), beoutbreakprepared_data(), cci_us_vaccine_data(), cdc_aggregated_projections(), cdc_excess_deaths(), cdc_social_vulnerability_index(), coronanet_government_response_data(), cov_glue_lineage_data(), cov_glue_newick_data(), cov_glue_snp_lineage(), covidtracker_data(), descartes_mobility_data(), ecdc_data(), econ_tracker_consumer_spending, econ_tracker_employment, econ_tracker_unemp_data, economist_excess_deaths(), financial_times_excess_deaths(), google_mobility_data(), government_policy_timeline(), jhu_data(), jhu_us_data(), kff_icu_beds(), nytimes_county_data(), oecd_unemployment_data(), owid_data(), param_estimates_published(), test_and_trace_data(), us_county_geo_details(), us_county_health_rankings(), us_healthcare_capacity(), us_hospital_details(), us_state_distancing_policy(), usa_facts_data(), who_cases()

Other case-tracking: align_to_baseline(), beoutbreakprepared_data(), bulk_estimate_Rt(), combined_us_cases_data(), covidtracker_data(), ecdc_data(), estimate_Rt(), jhu_data(), nytimes_county_data(), owid_data(), plot_epicurve(), test_and_trace_data(), usa_facts_data(), who_cases()

Examples

res = coronadatascraper_data()
colnames(res)
head(res)
dplyr::glimpse(res)

length(unique(res$names))
length(unique(res$county))
length(unique(res$state))
length(unique(res$country))


seandavi/sars2pack documentation built on May 13, 2022, 3:41 p.m.