1117 Russian cities with city name, region, geographic coordinates and 2020 population estimate

1117 Russian cities with city name, region, geographic coordinates and 2020 population estimate. How to use from pathlib import Path import requests import pandas as pd url = ("https://raw.githubusercontent.com/" "epogrebnyak/ru-cities/main/assets/towns.csv") # save file locally...

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Main Authors: Evgeniy Pogrebnyak, Kirill Artemov
Format: Other/Unknown Material
Language:Russian
Published: Zenodo 2021
Subjects:
Online Access:https://doi.org/10.5281/zenodo.5151423
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spelling ftzenodo:oai:zenodo.org:5151423 2024-09-15T18:41:15+00:00 1117 Russian cities with city name, region, geographic coordinates and 2020 population estimate Evgeniy Pogrebnyak Kirill Artemov 2021-08-01 https://doi.org/10.5281/zenodo.5151423 rus rus Zenodo https://doi.org/10.5281/zenodo.5148692 https://doi.org/10.5281/zenodo.5151423 oai:zenodo.org:5151423 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cities Russia info:eu-repo/semantics/other 2021 ftzenodo https://doi.org/10.5281/zenodo.515142310.5281/zenodo.5148692 2024-07-27T07:27:08Z 1117 Russian cities with city name, region, geographic coordinates and 2020 population estimate. How to use from pathlib import Path import requests import pandas as pd url = ("https://raw.githubusercontent.com/" "epogrebnyak/ru-cities/main/assets/towns.csv") # save file locally p = Path("towns.csv") if not p.exists(): content = requests.get(url).text p.write_text(content, encoding="utf-8") # read as dataframe df = pd.read_csv("towns.csv") print(df.sample(5)) Files: towns.csv - city information regions.csv - list of Russian Federation regions alt_city_names.json - alternative city names Сolumns (towns.csv): Basic info: <code>city</code> - city name (several cities have alternative names marked in <code>alt_city_names.json</code>) <code>population</code> - city population, thousand people, Rosstat estimate as of 1.1.2020 <code>lat,lon</code> - city geographic coordinates Region: <code>region_name</code> - subnational region (oblast, republic, krai or AO) <code>region_iso_code</code> - ISO 3166 code , eg <code>RU-VLD</code> <code>federal_district</code>, eg <code>Центральный</code> City codes: <code>okato</code> <code>oktmo</code> <code>fias_id</code> <code>kladr_id</code> Data sources City list and city population collected from Rosstat publication Регионы России. Основные социально-экономические показатели городов and parsed from publication Microsoft Word files. City list corresponds to this Wikipedia article . Alternative dataset is wiki-based Dadata city dataset (no population data). Comments City groups <code>Ханты-Мансийский</code> and <code>Ямало-Ненецкий</code> autonomous regions excluded to avoid duplication as parts of <code>Тюменская область</code>. Several notable towns are classified as administrative part of larger cities (<code>Сестрорецк</code> is a municpality at Saint-Petersburg, ... Other/Unknown Material Ненец* Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language Russian
topic cities
Russia
spellingShingle cities
Russia
Evgeniy Pogrebnyak
Kirill Artemov
1117 Russian cities with city name, region, geographic coordinates and 2020 population estimate
topic_facet cities
Russia
description 1117 Russian cities with city name, region, geographic coordinates and 2020 population estimate. How to use from pathlib import Path import requests import pandas as pd url = ("https://raw.githubusercontent.com/" "epogrebnyak/ru-cities/main/assets/towns.csv") # save file locally p = Path("towns.csv") if not p.exists(): content = requests.get(url).text p.write_text(content, encoding="utf-8") # read as dataframe df = pd.read_csv("towns.csv") print(df.sample(5)) Files: towns.csv - city information regions.csv - list of Russian Federation regions alt_city_names.json - alternative city names Сolumns (towns.csv): Basic info: <code>city</code> - city name (several cities have alternative names marked in <code>alt_city_names.json</code>) <code>population</code> - city population, thousand people, Rosstat estimate as of 1.1.2020 <code>lat,lon</code> - city geographic coordinates Region: <code>region_name</code> - subnational region (oblast, republic, krai or AO) <code>region_iso_code</code> - ISO 3166 code , eg <code>RU-VLD</code> <code>federal_district</code>, eg <code>Центральный</code> City codes: <code>okato</code> <code>oktmo</code> <code>fias_id</code> <code>kladr_id</code> Data sources City list and city population collected from Rosstat publication Регионы России. Основные социально-экономические показатели городов and parsed from publication Microsoft Word files. City list corresponds to this Wikipedia article . Alternative dataset is wiki-based Dadata city dataset (no population data). Comments City groups <code>Ханты-Мансийский</code> and <code>Ямало-Ненецкий</code> autonomous regions excluded to avoid duplication as parts of <code>Тюменская область</code>. Several notable towns are classified as administrative part of larger cities (<code>Сестрорецк</code> is a municpality at Saint-Petersburg, ...
format Other/Unknown Material
author Evgeniy Pogrebnyak
Kirill Artemov
author_facet Evgeniy Pogrebnyak
Kirill Artemov
author_sort Evgeniy Pogrebnyak
title 1117 Russian cities with city name, region, geographic coordinates and 2020 population estimate
title_short 1117 Russian cities with city name, region, geographic coordinates and 2020 population estimate
title_full 1117 Russian cities with city name, region, geographic coordinates and 2020 population estimate
title_fullStr 1117 Russian cities with city name, region, geographic coordinates and 2020 population estimate
title_full_unstemmed 1117 Russian cities with city name, region, geographic coordinates and 2020 population estimate
title_sort 1117 russian cities with city name, region, geographic coordinates and 2020 population estimate
publisher Zenodo
publishDate 2021
url https://doi.org/10.5281/zenodo.5151423
genre Ненец*
genre_facet Ненец*
op_relation https://doi.org/10.5281/zenodo.5148692
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op_rights info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.515142310.5281/zenodo.5148692
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