Database formation in the R software environment: experience of economic research at the municipal level

The absence or long lag of publication of official statistics on the level of so cio-economic development of territories forces researchers to turn to alternative data sourc es arising because of the rapid development of digital technologies. Programming language R is required to work with these dat...

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Main Authors: E.A. Prokopyev, V.A. Igolkin
Format: Article
Language:English
Published: Ural State University of Economics 2025-01-01
Series:Цифровые модели и решения
Subjects:
Online Access:http://usue-journal.ru/en/issues-2024/70-anglijskij-yazyk/tsmiren/11/521-database-formation-in-the-r-software-environment-experience-of-economic-research-at-the-municipal-level
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author E.A. Prokopyev
V.A. Igolkin
author_facet E.A. Prokopyev
V.A. Igolkin
author_sort E.A. Prokopyev
collection DOAJ
description The absence or long lag of publication of official statistics on the level of so cio-economic development of territories forces researchers to turn to alternative data sourc es arising because of the rapid development of digital technologies. Programming language R is required to work with these datasets. The purpose of the paper is to acquaint readers with the capabilities of the R software environment when forming a municipal database for socio-economic research from various sources. The following data sources are considered here Rosstat database “Indicators of Municipalities”; 5-NDFL tax report form, web sources of the Federal Tax Service, website of the Central Electoral Commission of the Russian Federation, TurgetHunter service. As part of the preparatory stage of database creation, it is shown which parameters must be taken into account when creating an auxiliary key table. Using the example of working with data, the functions left_join(), pivot_longer(), fill(), group_by(), arrange(), summarize(), separate() are analyzed. The presented material can be used to develop educational tasks within the framework of the disciplines “Basics of Statis tics” or “Data Analysis”, as well as to prepare a statistical base for research into socio-eco nomic processes at the municipal level.
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issn 2949-477X
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series Цифровые модели и решения
spelling doaj-art-3e41cc8613394495a535e39854cd6ea72025-01-07T09:06:49ZengUral State University of EconomicsЦифровые модели и решения2949-477X2782-49342025-01-0134274610.29141/2949-477X-2024-3-4-2Database formation in the R software environment: experience of economic research at the municipal levelE.A. Prokopyev0 V.A. Igolkin1Karelian Research Center of the Russian Academy of Sciences, Petrozavodsk, Russian FederationKarelian Research Center of the Russian Academy of Sciences, Petrozavodsk, Russian FederationThe absence or long lag of publication of official statistics on the level of so cio-economic development of territories forces researchers to turn to alternative data sourc es arising because of the rapid development of digital technologies. Programming language R is required to work with these datasets. The purpose of the paper is to acquaint readers with the capabilities of the R software environment when forming a municipal database for socio-economic research from various sources. The following data sources are considered here Rosstat database “Indicators of Municipalities”; 5-NDFL tax report form, web sources of the Federal Tax Service, website of the Central Electoral Commission of the Russian Federation, TurgetHunter service. As part of the preparatory stage of database creation, it is shown which parameters must be taken into account when creating an auxiliary key table. Using the example of working with data, the functions left_join(), pivot_longer(), fill(), group_by(), arrange(), summarize(), separate() are analyzed. The presented material can be used to develop educational tasks within the framework of the disciplines “Basics of Statis tics” or “Data Analysis”, as well as to prepare a statistical base for research into socio-eco nomic processes at the municipal level.http://usue-journal.ru/en/issues-2024/70-anglijskij-yazyk/tsmiren/11/521-database-formation-in-the-r-software-environment-experience-of-economic-research-at-the-municipal-levelr software environmentdatabasemunicipal statisticsalternative data sourcesdata collection and processing
spellingShingle E.A. Prokopyev
V.A. Igolkin
Database formation in the R software environment: experience of economic research at the municipal level
Цифровые модели и решения
r software environment
database
municipal statistics
alternative data sources
data collection and processing
title Database formation in the R software environment: experience of economic research at the municipal level
title_full Database formation in the R software environment: experience of economic research at the municipal level
title_fullStr Database formation in the R software environment: experience of economic research at the municipal level
title_full_unstemmed Database formation in the R software environment: experience of economic research at the municipal level
title_short Database formation in the R software environment: experience of economic research at the municipal level
title_sort database formation in the r software environment experience of economic research at the municipal level
topic r software environment
database
municipal statistics
alternative data sources
data collection and processing
url http://usue-journal.ru/en/issues-2024/70-anglijskij-yazyk/tsmiren/11/521-database-formation-in-the-r-software-environment-experience-of-economic-research-at-the-municipal-level
work_keys_str_mv AT eaprokopyev databaseformationinthersoftwareenvironmentexperienceofeconomicresearchatthemunicipallevel
AT vaigolkin databaseformationinthersoftwareenvironmentexperienceofeconomicresearchatthemunicipallevel