View source: R/metadata_functions.R
listCensusMetadata | R Documentation |
Get information about a specific API as a data frame
listCensusMetadata( name, vintage = NULL, type = "variables", group = NULL, variable_name = NULL, include_values = FALSE )
name |
API programmatic name - e.g. acs/acs5. See list of names with listCensusApis(). |
vintage |
Vintage (year) of dataset. Not required for timeseries APIs |
type |
Type of metadata to return. Options are: * 'variables' (default) - list of variable names and descriptions for the dataset. * 'geographies' - available geographies. * 'groups' - available variable groups. Not used for all datasets. * 'values' - encoded value labels for a given variable. Pair with 'variable_name'. Not used for all datasets. |
group |
An optional variable group code, used to return metadata for a specific group of variables only. Variable groups are not used for all APIs. |
variable_name |
A name of a specific variable used to return value labels for that variable. Value labels are not published for all APIs. |
include_values |
Use with 'type = "variables"'. Include value metadata for all variables in a dataset if value metadata exists. Default is "FALSE". |
## Not run: # List the variables available in the Small Area Health Insurance Estimates. sahie_variables <- listCensusMetadata( name = "timeseries/healthins/sahie", type = "variables") head(sahie_variables) # List the geographies available in the 5-year 2020 American Community Survey. acs_geographies <- listCensusMetadata( name = "acs/acs5", vintage = 2020, type = "geographies") head(acs_geographies) # List the variable groups available in the 5-year 2020 American Community Survey. acs_groups <- listCensusMetadata( name = "acs/acs5", vintage = 2020, type = "groups") head(acs_groups) # Create a data dictionary with all variable names and encoded values for # a microdata API. cbp_dict <- listCensusMetadata( name = "cbp", vintage = 2020, type = "variables", include_values = TRUE) head(cbp_dict) # List the value labels of the NAICS2017 variable in the 2020 County # Business Patterns dataset. cbp_naics_values <- listCensusMetadata( name = "cbp", vintage = 2020, type = "values", variable = "NAICS2017") head(cbp_naics_values) # List of variables that are included in the B17020 group in the # 5-year American Community Survey. group_B17020 <- listCensusMetadata( name = "acs/acs5", vintage = 2017, type = "variables", group = "B17020") head(group_B17020) ## End(Not run)
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