Academic Journal of Computing & Information Science, 2022, 5(6); doi: 10.25236/AJCIS.2022.050610.
Lei Zhang1, Hao Wu1
1School of Management Science and engineering, Anhui University of Finance & Economics, Bengbu, 233030, Anhui, China
In order to help the public fully understand the epidemic situation and epidemic development trend throughout the country. In this paper, Pycharm software is used to form a web page visual interactive image through PyEcharts to display and analyze the existing epidemic data from multiple angles and aspects.
Data visualization; PyEcharts; Epidemic situation; Data analysis
Lei Zhang, Hao Wu. Visual Analysis of National Epidemic Data Based on PyEcharts. Academic Journal of Computing & Information Science (2022), Vol. 5, Issue 6: 59-73. https://doi.org/10.25236/AJCIS.2022.050610.
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