Proceedings of the 2022 International Conference on Social Sciences and Humanities and Arts (SSHA 2022)

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.220401.188How 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.

Copyright
© 2022 The Authors. Published by Atlantis Press SARL.
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.220401.188How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license.

Cite this article

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  -