county_ids: County Identifiers
In MEDSL/medslcleaner: A MEDSL Package for Cleaning Election Returns
Description
Usage
Format
Source
Description
This dataset contains identifiers for counties and county equivalents.
Usage
1
Format
A dataframe with 10 variables:
state_postalCounty U.S. Postal Service abbreviation, or two-letter ISO 1366 code.
county_fipsNumeric county FIPS code per FIPS PUB 5-2.
county_ansiNumeric ANSI county code.
county_nameCounty name.
land_areaLand area in square meters.
water_areaWater area in square meters.
land_area_sq_milesLand area in square miles.
water_area_sq_milesWater area in square miles.
county_latCounty latitude.
county_longCounty longitude.
Source
2017 Census Bureau Gazetteer (https://www.census.gov/geo/maps-data/data/gazetteer2017.html).
MEDSL/medslcleaner documentation built on May 31, 2019, 7:39 a.m.
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Description Usage Format Source
Description
This dataset contains identifiers for counties and county equivalents.
Usage
1 |
Format
A dataframe with 10 variables:
state_postalCounty U.S. Postal Service abbreviation, or two-letter ISO 1366 code.
county_fipsNumeric county FIPS code per FIPS PUB 5-2.
county_ansiNumeric ANSI county code.
county_nameCounty name.
land_areaLand area in square meters.
water_areaWater area in square meters.
land_area_sq_milesLand area in square miles.
water_area_sq_milesWater area in square miles.
county_latCounty latitude.
county_longCounty longitude.
Source
2017 Census Bureau Gazetteer (https://www.census.gov/geo/maps-data/data/gazetteer2017.html).
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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