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Visualization of Blockchain Data: A Systematic Review.

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    This review systematically assessed 76 visual analytics tools for blockchain data, classifying them by features and identifying underexplored areas for future blockchain analysis research.

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    Area of Science:

    • Computer Science
    • Data Science
    • Information Visualization

    Background:

    • Blockchain technology has gained significant attention across various domains.
    • The analysis of blockchain data is crucial for understanding its applications and implications.
    • A growing number of visual analytics tools are being developed for blockchain data.

    Purpose of the Study:

    • To systematically review and classify existing visual analytics tools for blockchain data.
    • To identify the current landscape of blockchain data analysis tools.
    • To highlight gaps and suggest future research directions in the field.

    Main Methods:

    • A systematic and quantitative assessment of 76 visual analytics tools.
    • Tools were sourced from academic research, professional offerings, and enthusiast communities.
    • Classification based on target blockchains, data types, audiences, task domains, and visualization types.

    Main Results:

    • The review classified 76 visual analytics tools based on predefined criteria.
    • Analysis revealed the types of blockchain data and task domains currently addressed by these tools.
    • Identified specific visualization types employed in blockchain data analysis.

    Conclusions:

    • The study provides a comprehensive overview of the current state of visual analytics for blockchain data.
    • It highlights areas of blockchain data that have been extensively explored.
    • Identified underexplored aspects of blockchain data analysis, suggesting avenues for future research and tool development.