Analysis of the Impact of Employment after the Covid-19 Based on Python

Yuxuan He; Congxiao Huang; Dongsheng Lian; Yanhong Di; Weiyi Chen

doi:10.2991/assehr.k.220401.188

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Analysis of the Impact of Employment after the Covid-19 Based on Python

Authors

Yuxuan He¹^{, +}, Congxiao Huang²^{, *}^{, +}, Dongsheng Lian³^{, +}, Yanhong Di⁴^{, +}, Weiyi Chen⁵^{, +}

¹University of Shanghai for Science and Technology, Shanghai, 200093, China

²School of Computer Science, College of Engineering, North Carolina State University, Raleigh, North Carolina, 27606, The United States,allenh0412@gmail.com

³School of Electrical Engineering, Penn State University (park), State College PA, 16801, The United States of America

⁴No.3 Shanghai Weiyu High School, Shanghai 200231, China

⁵Interlake High School, Bellevue Washington U.S. 98008

⁺

These authors contributed equally to this work and should be considered co-first authors.

Corresponding Author

Congxiao Huang

Available Online 8 April 2022.

DOI: 10.2991/assehr.k.220401.188 How to use a DOI?
Keywords: web crawler; unemployment rate; economic development1
Abstract: Under the raging novel coronavirus pneumonia, the world has been pressed by the pause button, and people have started home segregation, which led to the suspension of their work. It is of great importance to analyze the contemporary situation in the labor market to help the government take action to improve the recovery of the economy. In this work, the python method will be used to automatically crawl the data displayed on the website of the U.S. Bureau of Labor Statistics. February 2020 is marked as the advent of the pandemic in the U.S. and this work will compare the unemployment rate before and after February. The work is divided into two dimensions. The first part is the analysis of the numbers crawled out in different states and the unemployment rate in different industries. The second part is to compare the results along the timeline. The result shows that both the economy and the labor market have been greatly impacted by the incoming of Covid-19 and that the government should take different solutions to revive different states and industries.
Open Access: This is an open access article distributed under the CC BY-NC 4.0 license.

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Volume Title: Proceedings of the 2022 International Conference on Social Sciences and Humanities and Arts (SSHA 2022)
Series: Advances in Social Science, Education and Humanities Research
Publication Date: 8 April 2022
ISBN: 978-94-6239-560-2
ISSN: 2352-5398
DOI: 10.2991/assehr.k.220401.188 How to use a DOI?
Open Access: This is an open access article distributed under the CC BY-NC 4.0 license.

Cite this article

ris enw bib

TY  - CONF
AU  - Yuxuan He
AU  - Congxiao Huang
AU  - Dongsheng Lian
AU  - Yanhong Di
AU  - Weiyi Chen
PY  - 2022
DA  - 2022/04/08
TI  - Analysis of the Impact of Employment after the Covid-19 Based on Python
BT  - Proceedings of the 2022 International Conference on Social Sciences and Humanities and Arts (SSHA 2022)
PB  - Atlantis Press
SP  - 978
EP  - 987
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.220401.188
DO  - 10.2991/assehr.k.220401.188
ID  - He2022
ER  -

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