Impact of COVID-19 on Employment with Visualization Techniques

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ID: 336792
2024
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Ranked #229 of 953 articles by views in Pakistan Social Sciences Review

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Abstract
The objective of this research is to study the impact of the COVID-19 pandemic on employment with data visualization via R. The COVID-19 pandemic has significantly disrupted employment, resulting in an unprecedented decline in working hours. Leveraging secondary data, this study examines the varying consequences of COVID-19 on employment in 189 countries across six continents of the world, utilizing R programming language visualizing tool kit with statistical techniques: tree maps, bar charts, pie chart, and grouping and faceting. The findings of this study indicate that South American countries experienced the highest average loss of working hours at 15%, followed by North American countries at 12%, and Asian, African, and European countries at 9%, 8%, and 7%, respectively. While regions of Oceania are the least affected with a 5% loss in working hours compared to 4th quarter of 2019. This study underscores the necessity to reduce the pandemic’s negative consequences on employment and provide policymakers with valuable insights to offer post-pandemic support and focused interventions.
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imported_1793231120_6ae2891018376 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Itrat Batool Naqvi
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Journal Pakistan Social Sciences Review
Year 2024
DOI
10.35484/pssr.2024(8-II-S)25
URL
https://ojs.pssr.org.pk/journal/article/view/637
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