Comparative analysis of selected data visualization methods

Main Article Content

DOI

Damian Węcławski

damianweclawski@gmail.com

https://orcid.org/0009-0008-5580-3325
Radosław Tomczyk

radek05654@gmail.com

https://orcid.org/0009-0001-4587-8621
Paweł Powroźnik

p.powroznik@pollub.pl

https://orcid.org/0000-0002-5705-4785

Abstract


This article compares five data visualization tools: Tableau, Power BI, Python libraries, Apache Superset, and Metabase. The paper comprises two studies. The first study analyzes general data visualization capabilities, comparing commercial solutions (Tableau, Power BI) and Python libraries. The second study focuses on the use of Tableau, Apache Superset, and Metabase in the context of big data. In both studies, user satisfaction was measured through surveys conducted after participants completed tasks designed for specific analyses. The results provide insights into the strengths and limitations of each tool in terms of functionality and usability.


Keywords:

Big Data, Data Visualization, Tableau, Power BI, Python, Apache Superset, Metabase

References

Article Details

Węcławski, D., Tomczyk, R., & Powroźnik, P. (2026). Comparative analysis of selected data visualization methods. Journal of Computer Sciences Institute, 38, 19–25. https://doi.org/10.35784/jcsi.8369