Abstract: Data visualization techniques have undergone a remarkable evolution over the years, transitioning from static representations to dynamic and interactive visualizations. This paper looks into the historical context and key milestones in the development of data visualization techniques, tracing the evolution from static charts and graphs to dynamic and interactive visualizations that offer enhanced insights and interactivity. This research contributes to a deeper understanding of the evolution of data visualization techniques and their impact on the field of data science, informing practitioners, researchers, and decision-makers alike about the opportunities and challenges presented by dynamic and interactive visualizations in the era of big data and advanced analytics.
Keywords: Data Visualization, Static Visualizations, Dynamic Visualizations, Big Data, Information Visualization, Technologies.
Cite:
Yogesh Rathod, "Understanding The Evolution of Data Visualization Techniques: From Static to Dynamic Visualizations", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13218.
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DOI:
10.17148/IJARCCE.2024.13218
