Support for Building Infographic Models on the Multiforms Platform

The paper is devoted to the process of constructing infographic models for visualizing the results of analysis in BI-systems. The subject of research is the regularities of the choice of data visualization tools for an analytical query depending on the structure and properties of the data set using the Multiforms platform as an example. A formal description of the dataset data and metadata obtained as a result of executing a user request to a global analytical model on the Multiforms platform allows us to set a task of developing a new approach to the visualization of datasets that provides an informed choice of chart type, automatic determination of axes and displayed values. Based on the study of the visual components of the DevExteme library, it was possible to develop a general algorithm for native user support when choosing a diagram that best reflects the contents of the data. The considered examples illustrate the operation of the algorithm and make sure that the recommended ways of presenting data correspond to the structure of the dataset and display the content in the appropriate way.

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Publication Details

Published
2024-09-30
DOI
https://doi.org/10.1109/sibircon63777.2024.10758450
Primary Topic
Advanced Computational Techniques and Applications
Type
article
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article

Support for Building Infographic Models on the Multiforms Platform

Anna Korobko, Nadezhda Benko, Anna Metus, Irina Erina
Advanced Computational Techniques and Applications
article

Support for Building Infographic Models on the Multiforms Platform

Anna Korobko, Nadezhda Benko, Anna Metus, Irina Erina
article en

Abstract

The paper is devoted to the process of constructing infographic models for visualizing the results of analysis in BI-systems. The subject of research is the regularities of the choice of data visualization tools for an analytical query depending on the structure and properties of the data set using the Multiforms platform as an example. A formal description of the dataset data and metadata obtained as a result of executing a user request to a global analytical model on the Multiforms platform allows us to set a task of developing a new approach to the visualization of datasets that provides an informed choice of chart type, automatic determination of axes and displayed values. Based on the study of the visual components of the DevExteme library, it was possible to develop a general algorithm for native user support when choosing a diagram that best reflects the contents of the data. The considered examples illustrate the operation of the algorithm and make sure that the recommended ways of presenting data correspond to the structure of the dataset and display the content in the appropriate way.

Institute of Computational Modeling (RU), Siberian State Aerospace University (RU)
Sustainable cities and communities
Openalex Percentile: Top 81%
Advanced Computational Techniques and Applications
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