list and detail available CARDdealr datasets
available_datasets.Rdlist and detail available CARDdealr datasets
Value
A data.frame in which each row represents an available dataset.
name: the short name of the dataset
accessor: accessor function
a list, with each dataset as an item
Details
dataset_details: returns a pre-computed set of column names and types,
dimensions of the datasets, and for datasets with a date (time course),
the min and max dates included in the dataset. Each dataset is an item
in the list. See examples for details and for viewing suggestions.
Examples
res = available_datasets()
res
#> # A tibble: 12 × 2
#> name accessor
#> <chr> <chr>
#> 1 American College of Radiology Lung Cancer Screening Registry (LCSR)… src_acr…
#> 2 Bureau of Labor Statistics Unemployment data src_bls…
#> 3 Behavioral Risk Factor Surveillance System (BRFSS) src_brf…
#> 4 CDC Places src_cdc…
#> 5 EPA Toxic Release Inventory (TRI) src_epa…
#> 6 Environmental Protection Agency Superfund src_epa…
#> 7 FDA Certified Mammography Facilities Dataset src_fda…
#> 8 Health Resources and Services Administration (HRSA) facilities src_hrs…
#> 9 National Plan & Provider Enumeration System (NPPES) GI providers src_npp…
#> 10 National Plan & Provider Enumeration System (NPPES) Oncology Provid… src_npp…
#> 11 CDC Social Vulnerability Index src_cdc…
#> 12 United States county health rankings src_us_…
# and how to use the accessor programmatically
get(res[1,]$accessor)()
#> INFO [15:27:47.552] Starting acr_lung_cancer_screening_data
#> Rows: 3590 Columns: 8
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ","
#> chr (8): 1 Facility Name, 2 Street Address, 3 city, 4 state, 5 ZIP Code, 6 P...
#>
#> 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.
#> INFO [15:27:49.868] Completing acr_lung_cancer_screening_data
#> # A tibble: 3,590 × 8
#> Type Name Address State Phone_number Notes latitude longitude
#> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 Lung Cancer Screen… Akro… 1 Akro… OH 330-344-6450 Lung… "" ""
#> 2 Lung Cancer Screen… Core… 1 Atki… MI 231-843-2591 LCSR "" ""
#> 3 Lung Cancer Screen… Bass… 1 Atwe… NY 607-547-3663 LCSR "" ""
#> 4 Lung Cancer Screen… Moun… 1 Bay … NJ 973-429-6105 Lung… "" ""
#> 5 Lung Cancer Screen… Bost… 1 Bost… MA 617-638-6610 LCSR "" ""
#> 6 Lung Cancer Screen… Virt… 1 Brac… NJ 856-470-9100 Lung… "" ""
#> 7 Lung Cancer Screen… Clar… 1 Clar… NJ 973-450-2047 Lung… "" ""
#> 8 Lung Cancer Screen… Coop… 1 Coop… NJ 856-342-2723 LCSR "" ""
#> 9 Lung Cancer Screen… NY I… 1 Dela… NY 631-675-3000 Lung… "" ""
#> 10 Lung Cancer Screen… Summ… 1 Diam… NJ 908-277-8673 LCSR "" ""
#> # ℹ 3,580 more rows
dd = dataset_details()
str(dd,list.len=3)
#> List of 2
#> $ datasets :List of 11
#> ..$ src_acr_lung_cancer_screening_data:List of 2
#> .. ..$ columns :List of 8
#> .. .. ..$ Type : chr "character"
#> .. .. ..$ Name : chr "character"
#> .. .. ..$ Address : chr "character"
#> .. .. .. [list output truncated]
#> .. ..$ dimensions:List of 2
#> .. .. ..$ nrow: int 3590
#> .. .. ..$ ncol: int 8
#> ..$ src_bls_unemployment_data :List of 2
#> .. ..$ columns :List of 10
#> .. .. ..$ series_id : chr "character"
#> .. .. ..$ year : chr "numeric"
#> .. .. ..$ period : chr "character"
#> .. .. .. [list output truncated]
#> .. ..$ dimensions:List of 2
#> .. .. ..$ nrow: int 11141058
#> .. .. ..$ ncol: int 10
#> ..$ src_brfss :List of 2
#> .. ..$ columns :List of 27
#> .. .. ..$ Year : chr "numeric"
#> .. .. ..$ Locationabbr : chr "character"
#> .. .. ..$ Locationdesc : chr "character"
#> .. .. .. [list output truncated]
#> .. ..$ dimensions:List of 2
#> .. .. ..$ nrow: int 2522478
#> .. .. ..$ ncol: int 27
#> .. [list output truncated]
#> $ eval_date: chr "2023-11-09"
names(dd$datasets)
#> [1] "src_acr_lung_cancer_screening_data" "src_bls_unemployment_data"
#> [3] "src_brfss" "src_cdc_places_data"
#> [5] "src_epa_tri_data" "src_epa_superfund_data"
#> [7] "src_fda_mammography_data" "src_hrsa_facility_data"
#> [9] "src_nppes_gi_data" "src_nppes_onco_data"
#> [11] "src_cdc_social_vulnerability_index"
# evaluated
dd$eval_date
#> [1] "2023-11-09"