Issue |
E3S Web of Conf.
Volume 531, 2024
Ural Environmental Science Forum “Sustainable Development of Industrial Region” (UESF-2024)
|
|
---|---|---|
Article Number | 03023 | |
Number of page(s) | 9 | |
Section | Mathematical Modelling of Energy Systems | |
DOI | https://doi.org/10.1051/e3sconf/202453103023 | |
Published online | 03 June 2024 |
Innovative digital services for working with big data
Don State Technical University, 344000, Gagarin Square 1, Rostov-on-Don, Russia
* Corresponding author: pks81@bk.ru
Digital services contain big data, including about the population of countries around the world, its dynamics, demographic processes and population parameters. They are aimed at collecting, processing and storing this data, providing it to consumers for research, analytical, management, and educational activities. The value of digital services is that they capture a large amount of data, integrate them with each other and visualize them. The purpose of this article is to consider a new digital service containing big data about the population of the world's countries and their age and gender structure, visualizing demographic data in population pyramids reflecting the ratio of sexes by age groups. The advantages of this service are associated with a simple, easy-to-learn interface, modularity and interactivity in the use of big data presented in it. The new digital service provides both broad analytical and research opportunities for scientists who use its big data, as well as for schoolchildren and students who use its materials in the educational process.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.