Comparative Review of Graphical User Interface Based Data Visualization Tools

Year 2025, Volume: 14 Issue: 2, 124 - 133, 27.06.2025

Faruk Aksoy , Mehmet Özdem , Resul Daş

https://doi.org/10.46810/tdfd.1628295

Abstract

Verilerin hızının ve miktarının sürekli artmasıyla birlikte verilerden anlamlı sonuçlar çıkarılması, artan zorluğuyla beraber daha önemli hale gelmektedir. Bu alanın gelişmesinde Büyük Veri ve IoT'nin birleşimi kritik rol oynamaktadır. Bu zorlukla birlikte, anlamlı sonuçların daha hızlı ve doğru üretilmesi için, mevcut görselleştirme araçlarında da güncellemeler devam etmektedir. Bu makale çalışmasında, farklı disiplinlerde, geniş uygulama alanlarına sahip olan grafik kullanıcı arayüzüne sahip veri görselleştirme araçları hakkında kapsamlı bir literatür araştırması yapılmış, yaygın olarak bilinen 15 adet veri görselleştirme aracı, karşılaştırmalı olarak sunulmuştur. Bu araştırma sonucunda elde edilen önemli bulgular ve yeni görselleştirme araçlarında ihtiyaç duyulacak yönelimler sonuç bölümünde sunulmuştur. Verilerden anlamlı sonuçlar üretmek için yapay zeka ile kompleks yöntemlerin entegre edilerek kullanılması, veri görselleştirme alanında büyük bir potansiyel barındırmaktadır. Bu çalışma ile gelecekte verilerin görselleştirilmesi alanında yapılacak çalışmalara, önemli katkılar sunulması beklenmektedir.

Keywords

Veri görselleştirme, Veri görselleştirme araçları, Büyük veri, Veri analitiği, Etkileşimli görselleştirme yazılımı.

Comparative Review of Graphical User Interface Based Data Visualization Tools

Abstract

With the continuous increase in the speed and amount of data, extracting meaningful results from data becomes more important, with increasing difficulty. The combination of Big Data and IoT plays a critical role in the development of this field. Along with this difficulty, updates continue to be made to existing visualization tools to produce meaningful results faster and more accurately. In this study, comprehensive literature research has been conducted on data visualization tools with graphical user interfaces that have wide application areas in different disciplines, and 15 widely known data visualization tools are presented comparatively. The important findings obtained as a result of this research and the trends that will be needed in new visualization tools are presented in the conclusion section. The use of complex methods by integrating artificial intelligence to produce meaningful results from data has great potential in the field of data visualization. It is expected that this study will make significant contributions to future studies in the field of data visualization.

Keywords

Data visualization, Data visualization tools, Big data, Data Analytic, Interactive visualization software

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