Covid-19 data exploration project utilizes SQL skills, including joins, CTE's, Temp Tables, and window functions, to analyze global pandemic data. It examines mortality rates, vaccination coverage, and infection patterns.
In this project we process raw housing data using SQL Server, enhancing its usability for analysis. We standardize date-time information using the CONVERT function. Additionally, we populate missing property addresses based on their parcel IDs.