In this assignment, you will design the tables to hold data in the CSVs, import the CSVs into a SQL database, and answer questions about the data. In other words, you will perform: Data Engineering Data Analysis Note: You may hear the term “Data Modeling” in place of “Data Engineering,” but they are the same terms. Data Engineering is the more modern wording instead of Data Modeling. Data Modeling Inspect the CSVs and sketch out an ERD of the tables. Feel free to use a tool like . Data Engineering Use the information you have to create a table schema for each of the six CSV files. Remember to specify data types, primary keys, foreign keys, and other constraints. For the primary keys check to see if the column is unique, otherwise create a composite key . Which takes to primary keys in order to uniquely identify a row. Be sure to create tables in the correct order to handle foreign keys. Import each CSV file into the corresponding SQL table. Note be sure to import the data in the same order that the tables were created and account for the headers when importing to avoid errors. Data Analysis Once you have a complete database, do the following: List the following details of each employee: employee number, last name, first name, sex, and salary. List first name, last name, and hire date for employees who were hired in 1986. List the manager of each department with the following information: department number, department name, the manager’s employee number, last name, first name. List the department of each employee with the following information: employee number, last name, first name, and department name. List first name, last name, and sex for employees whose first name is “Hercules” and last names begin with “B.” List all employees in the Sales department, including their employee number, last name, first name, and department name. List all employees in the Sales and Development departments, including their employee number, last name, first name, and department name. In descending order, list the frequency count of employee last names, i.e., how many employees share each last name. Bonus (Optional) As you examine the data, you are overcome with a creeping suspicion that the dataset is fake. You surmise that your boss handed you spurious data in order to test the data engineering skills of a new employee. To confirm your hunch, you decide to take the following steps to generate a visualization of the data, with which you will confront your boss: Import the SQL database into Pandas. (Yes, you could read the CSVs directly in Pandas, but you are, after all, trying to prove your technical mettle.) This step may require some research. Feel free to use the code below to get started. Be sure to make any necessary modifications for your username, password, host, port, and database name: from sqlalchemy import create_engine engine = create_engine(‘postgresql://localhost:5432/‘) connection = engine.connect() Consult SQLAlchemy documentation for more information. If using a password, do not upload your password to your GitHub repository. See and for more information. Create a histogram to visualize the most common salary ranges for employees. Create a bar chart of average salary by title. Epilogue Evidence in hand, you march into your boss’s office and present the visualization. With a sly grin, your boss thanks you for your work. On your way out of the office, you hear the words, “Search your ID number.” You look down at your badge to see that your employee ID number is 499942. Submission Create an image file of your ERD. Create a .sql file of your table schemata. Create a .sql file of your queries. (Optional) Create a Jupyter Notebook of the bonus analysis.

Looking for solution of this Assignment?


We deliver quality original papers

Our experts write quality original papers using academic databases.We dont use AI in our work. We refund your money if AI is detected  

Free revisions

We offer our clients multiple free revisions just to ensure you get what you want.

Discounted prices

All our prices are discounted which makes it affordable to you. Use code FIRST15 to get your discount

100% originality

We deliver papers that are written from scratch to deliver 100% originality. Our papers are free from plagiarism and NO similarity.We have ZERO TOLERANCE TO USE OF AI

On-time delivery

We will deliver your paper on time even on short notice or  short deadline, overnight essay or even an urgent essay