Process SINAN Chikungunya variables from DataSUS
Source:R/process_sinan_chikungunya.R
process_sinan_chikungunya.Rd
process_sinan_chikungunya
processes SINAN Chikungunya variables retrieved by fetch_datasus()
.
Arguments
- data
data.frame
created byfetch_datasus()
.- municipality_data
optional logical.
TRUE
by default, creates new variables in the dataset informing the full name and other details about the municipality of residence.
Details
This function processes SINAN Chikungunya variables retrieved by fetch_datasus()
, informing labels for categoric variables including NA values.
Examples
process_sinan_chikungunya(sinan_chikungunya_sample)
#> # A tibble: 100 × 136
#> TP_NOT ID_AGRAVO DT_NOTIFIC SEM_NOT NU_ANO SG_UF_NOT ID_MUNICIP ID_REGIONA
#> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 Individu… A92.0 2022-01-08 202201 2022 Acre 120033 1941
#> 2 Individu… A92.0 2022-02-16 202207 2022 Acre 120033 1941
#> 3 Individu… A92.0 2022-01-26 202204 2022 Acre 120033 1941
#> 4 Individu… A92.0 2022-01-08 202201 2022 Acre 120033 1941
#> 5 Individu… A92.0 2022-01-26 202204 2022 Acre 120033 1941
#> 6 Individu… A92.0 2022-01-05 202201 2022 Acre 120033 1941
#> 7 Individu… A92.0 2022-12-30 202252 2022 Acre 120020 1941
#> 8 Individu… A92.0 2022-11-14 202246 2022 Acre 120020 1941
#> 9 Individu… A92.0 2022-05-19 202220 2022 Acre 120020 1941
#> 10 Individu… A92.0 2022-01-31 202205 2022 Acre 120020 1941
#> # ℹ 90 more rows
#> # ℹ 128 more variables: ID_UNIDADE <chr>, DT_SIN_PRI <chr>, SEM_PRI <chr>,
#> # ANO_NASC <chr>, NU_IDADE_N <chr>, CS_SEXO <chr>, CS_GESTANT <chr>,
#> # CS_RACA <chr>, CS_ESCOL_N <chr>, SG_UF <chr>, ID_MN_RESI <chr>,
#> # ID_RG_RESI <chr>, ID_PAIS <chr>, DT_INVEST <chr>, ID_OCUPA_N <chr>,
#> # FEBRE <chr>, MIALGIA <chr>, CEFALEIA <chr>, EXANTEMA <chr>, VOMITO <chr>,
#> # NAUSEA <chr>, DOR_COSTAS <chr>, CONJUNTVIT <chr>, ARTRITE <chr>, …