The unprecedented emergence of COVID-19 upended our lives to a great extent, resulting in pressing health crises and economic fallouts on a global scale. Even after considerable effort had gone into vaccination to lift COVID-19 restrictions on our regular physical activities, many questions about COVID-19 remain unresolved, one of which is whether COVID-19 self-testing devices are science-backed and suitable for customs screening purposes. The project will provide a data perspective on this scientific problem of interest. The data set used in the project is sourced from the Harvard Dataverse and has information on the price, accuracy, time, distribution channel, and test types of COVID test kits used by 583 participants. We will conduct qualitative and quantitative analyses on the data set, starting with exploratory data analysis alongside appropriate visualizations and then developing an apt model for hypothesis testing theories, causal explanation, and prediction.