Analysis And Forecast of The Development of E-Commerce Based on R Language.
DOI:
https://doi.org/10.54097/pdx3hp57Keywords:
E-commerce; R, time series; forecasts; analysis.Abstract
Since E-commerce’s very start in the 1960s and through multiple eras of evolution, it has transformed the retail industry by offering a convenient and accessible platform for businesses and customers to conduct transactions without the need for physical shops. The COVID-19 pandemic was a pivotal point in the development of e-commerce, pushing it to the very top of retail. The paper reviews the development of e-commerce retail sales from the start of the 21st century based on two quarterly seasonally adjusted time series, mainly focusing on E-commerce’s sales growth and its industry proportion. Subsequent works center around conducting forecasts and data analysis using various methods in R. However, many other factors play a significant role in the development of the industry. For example, no one might be able to predict its surge during the pandemic. The paper focuses on the potential influence of consumer behavior, environmental issues, and the market.
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