The popularity of cryptocurrencies and blockchain shows a sign of increment these years with expanding products and users. However, compared to traditional network applications, blockchains are intangible and highly volatile. Hence, we need an efficient way of understanding on-chain activity and uncovering hidden relationships, anomalies, and trends from blockchain data [1].
The plotly Python library is an interactive, open-source plotting library that supports over 40 unique chart types covering a wide range of statistical, financial, geographic, scientific, and 3-dimensional use-cases.
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Related Publication/Research
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Guo, Yi-Ming, Zhen-Ling Huang, Ji Guo, Xing-Rong Guo, Hua Li, Meng-Yu Liu, Safa Ezzeddine, and Mpeoane Judith Nkeli. "A bibliometric analysis and visualization of blockchain." Future Generation Computer Systems 116 (2021): 316-332.
Ocheja, Patrick, Brendan Flanagan, Hiroaki Ogata, and Solomon Sunday Oyelere. "Visualization of education blockchain data: trends and challenges." Interactive Learning Environments (2022): 1-25.
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Di Battista, Giuseppe, Valentino Di Donato, Maurizio Patrignani, Maurizio Pizzonia, Vincenzo Roselli, and Roberto Tamassia. "Bitconeview: visualization of flows in the bitcoin transaction graph." In 2015 IEEE Symposium on Visualization for Cyber Security (VizSec), pp. 1-8. IEEE, 2015.
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Sun, Yujing, Hao Xiong, Siu Ming Yiu, and Kwok Yan Lam. "Bitvis: An interactive visualization system for bitcoin accounts analysis." In 2019 Crypto Valley conference on blockchain technology (CVCBT), pp. 21-25. IEEE, 2019.
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