About this project
The project utilized techniques such as WHERE Statements, GROUP BY, Aggregation, Order By, CTE, VIEW Statements, and JOIN to filter, clean, and create insights.
One of the key highlights of this project was the visualization of the highest total new cases compared to days, which provided valuable insights into the trends in Covid-19 cases over time. The project also provided insights into the impact of the pandemic on different populations, highlighting the need for continued efforts to mitigate the spread of the virus.
Overall, this project demonstrated the power of SQL in analyzing complex datasets and providing insights into real-world issues. Through the use of various techniques and queries, the project provided valuable insights into the Covid-19 pandemic that can inform public health policy and decision-making.
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