The table "Pessoa02" for the state of Goias is not being read correctly, so all values for this state are currenly NA in the columns "pessoa02_"
library(censobr)
library(dplyr)
go <- censobr::read_tracts(year = 2010, dataset = "Pessoa") |>
filter(abbrev_state=="GO")
cols_pessoa2 <- names(go)[names(go) %like% "pessoa02_"]
go <- go |>
select(cols_pessoa2 ) |>
collect()
head(go)
The table "Pessoa02" for the state of Goias is not being read correctly, so all values for this state are currenly
NAin the columns "pessoa02_"