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  • ISSN[Online] : 2643-9875  ||  ISSN[Print] : 2643-9840

Volume 05 Issue 05 MAY 2022

Research on Data Visualization Technology Based on Python
1Feng Li, 2Lingling Wang
1,2School of management science and Engineering, Anhui University of Finance and Economics, Bengbu 233000, China
DOI : https://doi.org/10.47191/ijmra/v5-i5-03

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ABSTRACT:

This study aims to research on data visualization technology using Python language. Python is an open-source programming language developed with the community-based model. In this paper, different visual presentation types are introduced, such as visualization of text data, network visualization, and visualization of spatial information. Additionally, common data visualization techniques are presented in this paper. Finally, some data visualization tools (Smartbi, D3, Google Chart API, Processing, and Rapidminer) are described in this paper.

KEYWORDS:

Visualization Technology, Python, Data Visualization Tools

REFERENCES

1) Enrico G. Caldarola, Antonio M. Rinaldi (2015). Big Data Visualization Tools: A Survey - The New Paradigms, Methodologies and Tools for Large Data Sets Visualization. Proceedings of 4th International Conference on Data Management Technologies and Applications, 2015.

2) Satish Premshankar Yadav, Adarsh S.K Singh (2020).Big Data Analytics with Pandas and Scipy Python Tools, International Research Journal of Engineering and Technology (IRJET), 2020, 1800-1805.

3) Stančin, Igor, and Alan Jović. "An overview and comparison of free Python libraries for data mining and big data analysis." 2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO). IEEE, 2019.

4) Cielen, D. and Meysman, A., 2016. Introducing data science: big data, machine learning, and more, using Python tools. Simon and Schuster.

5) Grover, P. and Kar, A.K., 2017. Big data analytics: A review on theoretical contributions and tools used in literature. Global Journal of Flexible Systems Management, 18(3), pp.203-229.

Volume 05 Issue 05 MAY 2022

There is an Open Access article, distributed under the term of the Creative Commons Attribution – Non Commercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting and building upon the work for non-commercial use, provided the original work is properly cited.


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