Abstract
Abstract: The COVID-19 epidemic has caused a large number of human losses and havoc in the economic, social, societal, and health system around the world. India also severely impacted throughout 34 states. First case reported on: 30 January 2020. As of 10th June Ministry of Health and Family Welfare reported a total of 276,804 cases, 134,843 recoveries and 7,751 deaths. In this project ,we aim to analyse COVID-19 data in India and find the key insights on patient demographics, patient clusters, state and district level spread. To be able to foresee the local transmission rate, top affected districts and predict the saturation point of the disease spread. In this work some datasets for each requirement were collected and organized those as per our requirements. All redundant data were erdaicated and made it useful for each requirement. The these data were grouped using Hadoop. After this query was written using Hive. To improve this planning Power BI was used for enhancing the visions on COVID-19 as per the said requirements .The collected data were used for state purpose to understand how COVID-19 spreads, the severity of disease it causes, how to treat it, and how to stop it and update the strategy based on evidence.
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