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Clean PUMS data dictionary

clean_data_dict.Rd

Helper to process and clean PUMS data dictionary from CSV for a given survey and year. Use to update codebook for missing years in tidycensus.

Usage

clean_data_dict(path, survey, year)

Arguments

path

character(1). Path to PUMS data dictionary CSV.

survey

character(1). Survey name.

year

integer. Year of PUMS data.

Value

tibble. Cleaned codebook data.

Details

  • Reads CSV, processes columns, and standardizes types and labels.

  • Returns a tibble with cleaned codebook data.

  • Assumes valid file path and schema; errors if missing.

Settings

None.

See also

  • read_pums_codebook

Other io utilities: cut_and_label(), db_table_has_geometry(), fetch_acs(), fetch_all_hts_tables(), fetch_from_db(), fetch_hts_table(), fetch_pums(), fetch_study_region(), find_project_root(), fix_value_labels_on_load(), get_db_table_name(), print_params(), pums_checksum(), read_from_db(), read_pums_codebook(), record_checksum(), sampled_latlon_to_bg()

Examples

## Not run:
clean_data_dict("dict.csv", "acs5", 2020)
#> Error in clean_data_dict("dict.csv", "acs5", 2020): could not find function "clean_data_dict"
## End(Not run)