Study of the socio-economic development of the federal subjects of Russia on basis of Data Science Technology

DOI

10.2991/cssdre-18.2018.105How to use a DOI?

Keywords

data science, big data, data minig, neural network, Kohonen self-organizing maps

Abstract

The paper shows the possibility of conducting a study of the regional economy based on alternative sources of official statistics. Official statistical resources in selected studies cannot be used or do not meet the requirements of relevance, reliability, and completeness. As new data resources, live data on the Internet should be considered. Two approaches to obtaining data on economic processes from the Internet can be distinguished: through a specially created program interface of websites (API) and as a result of scanning the contents of web pages (web-mining). Based on the open dataset published by PJSC "Sberbank", a number of features of social and economic processes in the regions related to the formation and use of household incomes have been established. Methods of time series analysis, variance analysis, multidimensional classification and factor analysis are applied. As a result, the seasonality and rhythm of the time series of salary and the amount of pension are established; the reduction of differentiation of regions according to the incomes of the population was revealed, with their insignificant growth; It is shown that the income indicators of the population are not determinative in financial activity; for relatively "poor" regions is characterized by a savings strategy of the households, "rich" - credit strategy.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Andrey Shevandrin
AU  - Petr Bondarenko
PY  - 2018/05
DA  - 2018/05
TI  - Study of the socio-economic development of the federal subjects of Russia on basis of Data Science Technology
BT  - Proceedings of the International Scientific Conference "Competitive, Sustainable and Secure Development of the Regional Economy: Response to Global Challenges" (CSSDRE 2018)
PB  - Atlantis Press
SP  - 508
EP  - 512
SN  - 2352-5428
UR  - https://doi.org/10.2991/cssdre-18.2018.105
DO  - 10.2991/cssdre-18.2018.105
ID  - Shevandrin2018/05
ER  -