Breakthrough by State Breakthrough data scraped from multiple states daily. Contains information on vaccinated vs unvaccinated hospitalizations and COVID cases. More information available at the Quartz Software Infection Disease Data Repository
Breakthrough by State Breakthrough data scraped from multiple states daily. Contains information on vaccinated vs unvaccinated hospitalizations and COVID cases. More information available at the Quartz Software Infection Disease Data Repository
Usage
breakthrough(use_memory = T, use_disk = T, bust_cache = F, ...)
breakthrough(use_memory = T, use_disk = T, bust_cache = F, ...)Arguments
- use_memory
Whether to use memory caching.
- use_disk
Whether to use disk caching.
- bust_cache
Whether to bust (refresh) the cache.
- ...
arguments to forward to the cache_download function.
Details
This function uses the cache_download function to download the data from the repository.
This function uses the cache_download function to download the data from the repository.
Examples
data <- breakthrough()
#> Warning: One or more parsing issues, call `problems()` on your data frame for details,
#> e.g.:
#> dat <- vroom(...)
#> problems(dat)
data <- breakthrough()
#> Rows: 854 Columns: 16
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ","
#> chr (3): source, granularity, vaccine_type
#> dbl (12): hospitalizations_unvaccinated_per_100k, hospitalizations_vaccinat...
#> date (1): start_date
#>
#> ℹ Use `spec()` to retrieve the full column specification for this data.
#> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.