Visual Data Analysis for EU Public Sector Data usingPython app MyDataApp

Petrovski, Georgi and Savoska, Snezana and Ristevski, Blagoj and Bocevska, Andrijana and Jolevski, Ilija and Blazheska-Tabakovska, Natasha (2022) Visual Data Analysis for EU Public Sector Data usingPython app MyDataApp. In: 12th International conference on Applied Internet and Information Technologies (AIIT2022), October 14th, Zrenjanin, Serbia.

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Abstract

The growing number of data collected in the public sector should contribute to the analysis and detection of situations and anomalies and provide appropriate measures to deal with them. This data analysis process generally requires a lot of time and resources because usually the data being analyzed is of the big data type. According to the new trends, it is necessary to analyze it according to the methods of big data analysis, to prepare the data in advance depending on the intentions of those responsible for decision making and to visualize it to achieve the greatest eloquence of the data for analysts and decision-makers. Due to all these findings, this paper creates an application solution for the analysis of data for the public sector to facilitate the process of loading data sources, using them, preparing them for visualization and performing visual data analysis of the data of interest with the purpose of providing decision-makers with the information they need. For this aim, a user-friendly application form for analysis was created and used for the visualization of data from the public sector in the EU. The obtained results are analyzed to highlight the pros and cons of the software solutions.

Item Type: Conference or Workshop Item (Speech)
Subjects: Scientific Fields (Frascati) > Natural sciences > Computer and information sciences
Divisions: Faculty of Information and Communication Technologies
Depositing User: Prof. d-r. Andrijana Bocevska
Date Deposited: 02 Dec 2022 09:37
Last Modified: 02 Dec 2022 09:37
URI: http://eprints.uklo.edu.mk/id/eprint/7468

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