Comparative Review of Graphical User Interface Based Data Visualization Tools

Faruk Aksoy; Mehmet Özdem; Resul Daş

Article Details

Comparative Review of Graphical User Interface Based Data Visualization Tools

Authors:

Faruk Aksoy | Mehmet Özdem | Resul Daş

Publisher:

Bingol University

Main Topics:

Bilgi Modelleme | Yönetim ve Ontolojiler

Journal:

Türk Doğa ve Fen Dergisi Vol.14 Issue 2, pp.124-133

Document Type:

Article

Publication Date:

6/2025

Document Language:

English

Document ID (Org No.):

2001352639

pISSN:

2149-6366

Keywords:

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.

 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.

 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.

 Verilerin hızının ve miktarının sürekli artmasıyla birlikte verilerden anlamlı sonuçlar çıkarılması, artan zorluğuyla beraber daha önemli hale gelmektedir. Bu alanın gelişmesinde Büyük Veri ve IoTnin 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.

Article Details

Comparative Review of Graphical User Interface Based Data Visualization Tools

Authors:

Faruk Aksoy | Mehmet Özdem | Resul Daş

Publisher:

Bingol University

Main Topics:

Bilgi Modelleme | Yönetim ve Ontolojiler

Journal:

Türk Doğa ve Fen Dergisi Vol.14 Issue 2, pp.124-133

Document Type:

Article

Publication Date:

6/2025

Document Language:

English

Document ID (Org No.):

2001352639

pISSN:

2149-6366

Data visualization

Data visualization tools

Big data

Data Analytic

Interactive visualization softwareVeri görselleştirme

Veri görselleştirme araçları

Büyük veri

Veri analitiği

Etkileşimli görselleştirme yazılımı.

Issues

Article Details

Authors: Faruk Aksoy | Mehmet Özdem | Resul Daş

Publisher: Bingol University

Main Topics: Bilgi Modelleme | Yönetim ve Ontolojiler

Journal: Türk Doğa ve Fen Dergisi Vol.14 Issue 2, pp.124-133

Document Type: Article

Publication Date: 6/2025

Document Language: English

Document ID (Org No.): 2001352639

pISSN: 2149-6366

Issues

Authors:

Faruk Aksoy | Mehmet Özdem | Resul Daş

Publisher:

Bingol University

Main Topics:

Bilgi Modelleme | Yönetim ve Ontolojiler

Journal:

Türk Doğa ve Fen Dergisi Vol.14 Issue 2, pp.124-133

Document Type:

Article

Publication Date:

6/2025

Document Language:

English

Document ID (Org No.):

2001352639

pISSN:

2149-6366