Country names, and names for US countries, metros, cities and states.
civicknowledge.com-geonames-2022-1.2.43
. Modified 2023-02-23T18:37:42
Resources | Packages | Documentation| Contacts| References| Data Dictionary
Resources
- names. Geographic names
Documentation
Documentation Links
Contacts
- Wrangler
Data Dictionary
namesnames
Column Name | Data Type | Description |
---|---|---|
ref | string | |
geoid | string | |
category | string | |
weight | integer | |
name | text |
References
Urls used in the creation of this data package.
- country_codes. Country codes, from https://datahub.io/core/country-codes
- censusgeo://2022/5/US/state.
- censusgeo://2020/5/US/CBSA.
- censusgeo://2022/5/US/county.
- censusgeo://2020/5/{}/place.
Packages
- s3 s3://library.metatab.org/civicknowledge.com-geonames-2022-1.2.43.csv
- csv https://library.metatab.org/civicknowledge.com-geonames-2022-1.2.43.csv
- source https://github.com/metatab-packages/civicknowledge.com-geonames-2022.git
Accessing Data in Vanilla Pandas
import pandas as pd
names_df = pd.read_csv('https://library.metatab.org/civicknowledge.com-geonames-2022-1.2.43/data/names.csv')
Accessing Package in Metapack
import metapack as mp
pkg = mp.open_package('https://library.metatab.org/civicknowledge.com-geonames-2022-1.2.43.csv')
# Create Dataframes
names_df = pkg.resource('names').dataframe()