This is a collection of my selected SQL files.
This project includes three SQL samples from my Applied Data Analytics course, a core course from my Master of Science in Business Analytics program at the University of Montana. The dataset has a total of 38,838 rows and five tables. The five tables are: date_hour, department_date, departments, owner_spend_date, and owners. The variables in each table are listed as below:
| table_name | variable_1 | variable_2 | variable_3 | variable_4 | variable_5 |
|---|---|---|---|---|---|
| date_hour | date | hour | spend | trans | items |
| department_date | date | department | spend | trans | items |
| departments | department | dept_name | |||
| owner_spend_date | card_no | date | spend | trans | items |
| owners | card_no | zip | plus_2 | status | date_joined |
The code was written in SQLite. In addition, SQL in this project interacts with Google Big Query (GBQ) and Python in samples 2 and 3 respectively.