This assignment consisted of using https://www.quickdatabasediagrams.com/ to create an entity relationship diagram (ERD) for 6 CSV files, and pgAdmin and Jupyter Notebook to perform queries and analysis on the data in the files.
The code creates a table schema and series of queries in pgAdmin, and performs additional analysis using Jupyter Notebook.
The table_schemata.sql code sets up the table schemata for the 6 CSV's.
The queries.sql code contains queries that will display the following:
1. A list of the following details of each employee: employee number, last name, first name, sex, and salary.
2. A list of the first name, last name, and hire date for employees who were hired in 1986.
3. A list of the manager of each department with the following information: department number, department name, the manager's employee number, last name, first name.
4. A list of the department of each employee with the following information: employee number, last name, first name, and department name.
5. A list of the first name, last name, and sex for employees whose first name is "Hercules" and last names begin with "B."
6. A list of all employees in the Sales department, including their employee number, last name, first name, and department name.
7. A list of all employees in the Sales and Development departments, including their employee number, last name, first name, and department name.
8. A list of the frequency count of employee last names, i.e., how many employees share each last name in descending order.
The SalaryGraphs.ipynb code imports the SQL database into pandas using Jupyter Notebook and creates the following graphs:
1. A histogram to visualize the most common salary ranges for employees.
2. A bar chart of average salary by title.