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provider::beneficiary_enrollment(year=NULL, month="Year", level="County", state="AL", county="Autauga")
#> # A tibble: 10 × 26#> year month level state state_name county fips bene_total bene_orig#> <int> <chr> <chr> <chr> <chr> <chr> <chr> <int> <int>#> 1 2013 Year County AL Alabama Autauga 01001 9323 6484#> 2 2014 Year County AL Alabama Autauga 01001 9589 6565#> 3 2015 Year County AL Alabama Autauga 01001 9938 6711#> 4 2016 Year County AL Alabama Autauga 01001 10214 6799#> 5 2017 Year County AL Alabama Autauga 01001 10510 5784#> 6 2018 Year County AL Alabama Autauga 01001 10645 5700#> 7 2019 Year County AL Alabama Autauga 01001 11059 5761#> 8 2020 Year County AL Alabama Autauga 01001 11251 5596#> 9 2021 Year County AL Alabama Autauga 01001 11396 5338#> 10 2022 Year County AL Alabama Autauga 01001 11578 5186#> # ℹ 17 more variables: bene_ma_oth <int>, bene_aged_total <int>,#> # bene_aged_esrd <int>, bene_aged_no_esrd <int>, bene_dsb_total <int>,#> # bene_dsb_esrd_and_only_esrd <int>, bene_dsb_no_esrd <int>,#> # bene_ab_total <int>, bene_ab_orig <int>, bene_ab_ma_oth <int>,#> # bene_rx_total <int>, bene_rx_pdp <int>, bene_rx_mapd <int>,#> # bene_rx_elig <int>, bene_rx_full <int>, bene_rx_part <int>,#> # bene_rx_none <int>
provider::beneficiary_enrollment(year=2021, level="County", state="GA", month=NULL)
#> Warning: There were 6 warnings in `dplyr::mutate()`.#> The first warning was:#> ℹ In argument: `dplyr::across(dplyr::contains("bene"), as.integer)`.#> Caused by warning:#> ! NAs introduced by coercion#> ℹ Run `dplyr::last_dplyr_warnings()` to see the 5 remaining warnings.#> # A tibble: 2,067 × 26#> year month level state state_name county fips bene_total bene_orig#> <int> <chr> <chr> <chr> <chr> <chr> <chr> <int> <int>#> 1 2021 Year County GA Georgia Appling 13001 3919 1919#> 2 2021 Year County GA Georgia Atkinson 13003 1376 648#> 3 2021 Year County GA Georgia Bacon 13005 2229 1216#> 4 2021 Year County GA Georgia Baker 13007 715 291#> 5 2021 Year County GA Georgia Baldwin 13009 9167 4041#> 6 2021 Year County GA Georgia Banks 13011 3735 1865#> 7 2021 Year County GA Georgia Barrow 13013 13950 7096#> 8 2021 Year County GA Georgia Bartow 13015 19436 10107#> 9 2021 Year County GA Georgia Ben Hill 13017 3830 1816#> 10 2021 Year County GA Georgia Berrien 13019 3813 2127#> # ℹ 2,057 more rows#> # ℹ 17 more variables: bene_ma_oth <int>, bene_aged_total <int>,#> # bene_aged_esrd <int>, bene_aged_no_esrd <int>, bene_dsb_total <int>,#> # bene_dsb_esrd_and_only_esrd <int>, bene_dsb_no_esrd <int>,#> # bene_ab_total <int>, bene_ab_orig <int>, bene_ab_ma_oth <int>,#> # bene_rx_total <int>, bene_rx_pdp <int>, bene_rx_mapd <int>,#> # bene_rx_elig <int>, bene_rx_full <int>, bene_rx_part <int>, …
Created on 2023-04-28 with reprex v2.0.2
Created on 2023-04-28 with reprex v2.0.2
Created on 2023-04-28 with reprex v2.0.2
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