1. Querying data in SQL
The first step of the project: querying covid-19 global hospitalization data from postgresql,
then exporting them to csv for further data analytics and visualization in the next steps
2. Clustering on Python Pandas
Using k-means clustering to identify similar countries.
Utilized pandas dataframes and sklearn KMeans clustering
3. Visualization on Tableau
Dashboards created from the extracted data, and published on Tableau Public.