The urbnindicators Codebook
codebook.Rmd
df = compile_acs_data(year = 2023, geography = "us")
#> | | | 0% | |==== | 6% | |======== | 11% | |=========== | 15% | |============= | 18% | |============== | 20% | |================ | 22% | |===================== | 30% | |======================== | 34% | |============================== | 43% | |=============================== | 45% | |================================== | 48% | |===================================== | 53% | |=========================================== | 61% | |================================================ | 69% | |=================================================== | 72% | |=========================================================== | 84% | |============================================================= | 88% | |======================================================================| 100%
codebook = attr(df, "codebook")
reactable::reactable(
codebook %>%
dplyr::rename(
Variable = calculated_variable,
Type = variable_type,
Definition = definition),
filterable = TRUE)