The COVID-19 pandemic has spread globally, with cases reported in various countries, including Italy, China, and the United States. A time-series dataset from Johns Hopkins University provides daily case reports for around the world, allowing users to analyze the spread of the virus. The TimescaleDB database can be used to load this dataset and run queries to visualize the data. The dataset includes information on confirmed cases, deaths, and recovered patients, as well as location-specific details such as latitude and longitude coordinates. Users can use PostGIS spatial analysis tools to examine cases near specific locations. A continuous aggregation feature in TimescaleDB allows users to automatically recalculate daily changes in confirmed cases, providing a more up-to-date view of the pandemic's spread. By analyzing this data, users can gain insights into the spread of COVID-19 and make informed decisions about their own safety and well-being.