SQL queries can get complex. For example, you might have been a little thrown off by the many to many join in the last lab. There, you had to join four tables. This is just the tip of the iceberg.
retail-analytics-sql-python/ ├─ data/ │ ├─ raw/ # (placeholder) │ └─ processed/ # CSV outputs created by the notebook ├─ dashboards/ # PNG charts saved by the notebook ├─ notebooks/ │ └─ ...