Fictious employee data was loaded into a SQL database from CSVs to query and then visualize with Pandas.
- CSV files were loaded into SQL tables, as depicted above, using the schema
- Different queries were run to answer a variety of questions about the employees. For example, Find any employees whose first name is Hercules and last name starts with a B
SELECT emp_no, "last_name", "first_name", "sex"
FROM employees AS e
WHERE first_name = 'Hercules'
AND last_name LIKE 'B%'
LIMIT 50;
- Additional analysis was done with Pandas to visualize the salary data
