Data Visualization of the Epidemic Situation of COVID-19 Based on Python
Konferenz: ISCTT 2021 - 6th International Conference on Information Science, Computer Technology and Transportation
26.11.2021 - 28.11.2021 in Xishuangbanna, China
Tagungsband: ISCTT 2021
Seiten: 5Sprache: EnglischTyp: PDF
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Autoren:
Quan, Junyu (Guangzhou Foreign Language School, China)
Inhalt:
Currently, many COVID-19 vaccine products have been applied widely to immunize the population. However, due to the inaccurate and incomplete information and interpretation by some unreliable experts and social media, some people are still confused about the efficacy of vaccines. In this paper, data prepossessing and visualization technologies based on Python are used to study the effect of vaccination on epidemic situation. The fed dataset consist of the COVID-19 Data Repository and the World Vaccination Progress, which are both downloaded from the public service website. The result shows that the vaccination contributes greatly to contain the spread of the epidemic.