Tableau-driven Data Analysis and Visualization of COVID-19 Cases in India

In this paper, we present a comprehensive analysis and visualization of COVID-19 data in India using Tableau, emphasizing key metrics such as the total number of cases, the distribution of confirmed cases by age group and gender, and the total number of deaths across states. Additionally, the paper delves into state-wise testing details, the count of testing labs in each state, and the administration of COVID-19 vaccines. The visualizations of this report dynamically show the pandemic’s trajectory, accompanied by interactive graphs showing how many cases there are over time. Further insights are derived from demographic breakdowns, illustrating the proportion of confirmed cases by age group and gender. This analysis not only aids in understanding the impact on various demographic segments but also aids in making targeted public health interventions. A specific focus is placed on mortality, with state-wise graphs detailing the total number of deaths. These visualizations contribute to a nuanced understanding of the geographic distribution of the severity of the pandemic, aiding policymakers in resource allocation and response planning. The report also incorporates a detailed examination of testing strategies, providing state-wise testing details and highlighting the number of testing labs in each region. This information is crucial for assessing the robustness of testing infrastructure and guiding future testing strategies. The integration of Tableau in this analysis ensures that the visualizations are informative and interactive, allowing users to explore the data in real-time and customize views based on their specific interests or inquiries. By presenting this comprehensive analysis, the paper aims to contribute valuable insights to the collective understanding of the COVID-19 pandemic in India and provide a practical resource for decision-makers, researchers, and the general public.