Statistical comparison of covid-19 infections based upon the food habits/diets in countries using RStudio

Abstract

On December 2019, the COVID-19 deadly virus emerged and affected a large population in the world which led to the increase in the death rate of infected patients. Changes in dietary habits and way of living leading from the implementation of lockdown during this pandemic had been detrimental on the nutritional health of individuals. A statistical study was conducted to determine the effect of COVID-19 lockdown on dietary habits, food consumption, and weight in different countries. The primary aim of this study bas been to conduct a statistical research to measure the impact of the pandemic on dietary habits of the humans. Retrospective study was made by the data collected from a data repository Kaggle with attributes of food status, nutrients and calories. By statistically analyzing the data using RStudio, it was possible to infer on the changes in dietary habits between countries of similarities. Based on the statistical analysis, it was found that the consumption of fat varies depending on the availability of meat or vegetables during the COVID-19 pandemic leading to vulnerability of human population with weaker consumption-based immunity against the disease.