This functions pulls COVID-19 vaccine data for US states from Our World in Data website GitHub repository and downloads it. No data is stored within the package, so the data should continuously update over time as long as the links do not change.

owid_vac_us_by_state()

Value

A dataframe/tibble

Details

Website:

- https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations

- https://raw.githubusercontent.com/owid/covid-19-data/master/public/data/vaccinations/us_state_vaccinations.csv

Examples

confirmed_st_daily <- R.COVID.19::owid_vac_us_by_state()
#> Parsed with column specification: #> cols( #> date = col_date(format = ""), #> location = col_character(), #> total_vaccinations = col_double(), #> total_distributed = col_double(), #> people_vaccinated = col_double(), #> people_fully_vaccinated_per_hundred = col_double(), #> total_vaccinations_per_hundred = col_double(), #> people_fully_vaccinated = col_double(), #> people_vaccinated_per_hundred = col_double(), #> distributed_per_hundred = col_double(), #> daily_vaccinations_raw = col_double(), #> daily_vaccinations = col_double(), #> daily_vaccinations_per_million = col_double(), #> share_doses_used = col_double() #> )
head(confirmed_st_daily)
#> # A tibble: 6 x 14 #> date location total_vaccinati~ total_distribut~ people_vaccinat~ #> <date> <chr> <dbl> <dbl> <dbl> #> 1 2021-01-12 Alabama 78134 377025 70861 #> 2 2021-01-13 Alabama 84040 378975 74792 #> 3 2021-01-14 Alabama 92300 435350 80480 #> 4 2021-01-15 Alabama 100567 444650 86956 #> 5 2021-01-16 Alabama NA NA NA #> 6 2021-01-17 Alabama NA NA NA #> # ... with 9 more variables: people_fully_vaccinated_per_hundred <dbl>, #> # total_vaccinations_per_hundred <dbl>, people_fully_vaccinated <dbl>, #> # people_vaccinated_per_hundred <dbl>, distributed_per_hundred <dbl>, #> # daily_vaccinations_raw <dbl>, daily_vaccinations <dbl>, #> # daily_vaccinations_per_million <dbl>, share_doses_used <dbl>