Filter ACS data by table ID, variables, or other attributes using dplyr::filter()

filter_acs() helps to filter a data frame of American Community Survey data enriched with table and column metadata using the label_acs_metadata() function using dplyr::filter().

Usage

filter_acs(
  data,
  ...,
  table = NULL,
  column = NULL,
  vars = NULL,
  drop_vars = NULL,
  geography = NULL,
  variable_col = "variable"
)

Arguments

data

A data frame with a "table_id", "variable", and "column_title" columns.

...

Parameters passed to dplyr::filter()

table, column

Table ID and column title values to return.

vars, drop_vars

Variable IDs to keep or to drop. If table is supplied (or if data only contains data for a single table), numeric values are allowed for vars and drop_vars (e.g. if table is "B14001" and vars is 2 data is filtered to variable "B14001_002").

geography

Geography values to filter by.

variable_col

Variable column name. Defaults to "variable".

See also

dplyr::filter()