BIG DATA VISUALIZATION AS AN EMERGING ARTISTIC MEDIUM IN CONTEMPORARY CREATIVE RESEARCH
DOI:
https://doi.org/10.29121/shodhkosh.v7.i4s.2026.7465Keywords:
Big Data Visualization, Generative Art, Interactive Installations, Data-Driven Art, Computational CreativityAbstract [English]
The concept of big data visualization has become a revolutionary artistic form of expression that has fulfilled the void between computational analytics and artistic expression in the modern scientific studies. This paper examines the ways in which massive datasets (defined in terms of volume, velocity, variety, veracity and value) are transforming the art creative process as it allows the conversion of dense information into attractive visual stories. Combining new technologies (e.g., real-time data streaming, machine learning, interactive visualization platforms, etc.) enables artists and researchers to establish dynamic, immersive, and participatory experiences. Processing, D3.js, and Tableau are the tools that can help to transform raw data into aesthetic representations and encourage data scientists, designers, and artists to work together interdisciplinarily. Moreover, the big data visualization is applied in the context of such fields as climate science, genomics, urban analytics, and so forth, where data-driven visual artworks convey important information and social issues. Interactive installations and digital exhibitions improve the level of participation of the audience and provide an opportunity to interact in real-time with changing datasets. The findings suggest that big data visualization does not only increase the interpretability of visual data, but it amplifies the limits of artistic creativity and allows new means of narration and perception. This study identifies the increased importance of data as a material and as a medium in the modern art that will contribute to the development of new creative and analytical paradigms.
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Copyright (c) 2026 Rahul Rajendra Papalkar, Dr. Ankayarkanni B, Vartika Kesarwani, Sorabh Sharma, Mr. Yagna B. Adhyaru, Shalini E, Muninathan N
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