Exploratory Data Analysis (EDA) is a field of data analysis used to visually represent the knowledge embedded deep in the given data set. The technique is widely used to generate inferences from a given data set. Data set of current pandemic, the COVID-19 is widely made available by the standard dataset repository. EDA can be applied to these standard dataset to generate inferences. In this paper, data visualization technique is applied to the dataset and is used to formulate patterns for better insights on the effects of the pandemic with respect to the variables/ labels given in the dataset. A Web application tool called Jupyter Notebook is used to generate graphs using python language as it consists of libraries which are used for the process of EDA and the visualization is depicted for the attributes showing higher correlation. Based on the graphs obtained, we can draw conclusions from the current situation based on the data available, understand why a certain variable is increasing/decreasing with respect to another and what can be done to improve the drawbacks found.

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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.

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