Table_schema.sql file.- code to create the tables.
Queries.sql file .- code to extract the next information:
1.-List the following details of each employee: employee number, last name, first name, sex, and salary.
2.-List first name, last name, and hire date for employees who were hired in 1986.
3.-List the manager of each department with the following information: department number, department name, the manager’s employee number, last name, first name.
4.-List the department of each employee with the following information: employee number, last name, first name, and department name.
5.-List first name, last name, and sex for employees whose first name is “Hercules” and last names begin with “B.”
6.-List all employees in the Sales department, including their employee number, last name, first name, and department name.
7.-List all employees in the Sales and Development departments, including their employee number, last name, first name, and department name.
8.-In descending order, list the frequency count of employee last names, i.e., how many employees share each last name.
Matplotlib.pyplot, pandas,sqlalchemy.create_engine
sqlalchemy,psycopg2
csv files to fill the tables.