A research project on employees of a corporation to perform Data Engineeing and Data Analysis
CSV files were inspected and an ERD of possible tables was sketched out like below:
Along with the ERD, table schema were created keeping in mind the specifications of data types, primary keys, foreign keys and other constraints. CSVs were imported into the corresponding SQL table.
Once the database was completed, the following were done:
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List the following details of each employee: employee number, last name, first name, sex, and salary.
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List first name, last name, and hire date for employees who were hired in 1986.
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List the manager of each department with the following information: department number, department name, the manager's employee number, last name, first name.
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List the department of each employee with the following information: employee number, last name, first name, and department name.
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List first name, last name, and sex for employees whose first name is "Hercules" and last names begin with "B."
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List all employees in the Sales department, including their employee number, last name, first name, and department name.
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List all employees in the Sales and Development departments, including their employee number, last name, first name, and department name.
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In descending order, list the frequency count of employee last names, i.e., how many employees share each last name.
Visualizations of the data were created to check if the dataset is real.
- Histogram to visualize the most common salary ranges for employees
- and a bar chart of average salary by title.
