Time Series Analysis of Public Opinion on Work from Home During and After COVID-19 Pandemic

After the COVID-19 pandemic years, and with government restrictions being lowered, many workers are still preferring to Work From Home. Companies, schools, and institutions across the world have switched to this remote mode because of its various advantages. This paper aims to analyze the impact of the pandemic on the % of increase relative to the number of people working from home before the pandemic. The data will be recollected from Aman Kumar’s Public Domain dataset [1] found in Kaggle. Some questions that this paper intends to answer include: Is the increase in percentage related to the pandemic or just something that increases constantly per year? What countries had the greatest increase and what could be some factors that affected these numbers? How will this percentage continue to behave specifically in Mexico? We try to answer these questions by performing both a cluster analysis on the time series and a forecasting using ARIMA. The importance of studying this information lies in the fact that employers must be aware of the population’s preference and adapt accordingly, to be able to stay competitive in this supply and demand market.