Take the data base that shown in the figure below for the healthcare business, and expand your initial 3 tables to 8 tables. The additional tables you have created should include new tables to capture additional variables of interest that can be used to bolster the analytic horsepower of your database. Building off of the healthcare of a database to understand relative pandemic effects on the textile industry, you may need to include additional tables to capture data on gross domestic product, interest rates, and hospitalization rates.

 you must expand your earlier created database using  MySQL Workbench to model the above business case. So, please build off of your previously created and saved database,  Open MySQL Workbench and perform the following tasks:

• Add to your previously designed schema with the new table and attributes to fit your newly expanded analytic needs.
• In your new database, add sufficient data for each of the entities and attributes - at least five departments with at least ten employees in each.
• Export your database to your computer. Be sure and select the option to "Export to Self-Contained File."
• Run a SQL query to determine the total number of employees and take a screenshot of the query results.
• Run a SQL query for the sales department to determine the commissions paid to specific employees for the month of December and take a screenshot of the query results.
• Insert your screenshots into a Word document. Please be sure and label each of your screenshots in the document to show which part of the assignment each screenshot is supposed to fulfill.
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MySQL Workbench Local instance MySQL80 X MySQL Model* X File Edit View Arrange Model Database Tools Bird's Eye **** Zoom: 100% Catalog Tree ***************** mydb 5 Ready Tables Views Routine Groups Catalog Layers User Types Description Editor ********************* Description Properties H -> 28C Haze Diagram M***** N 40% U 1:1 1:n 1:1 1:n n:m EER Diagram X Scripting Help appointments appointment_id INT patient_id INT appointment_date DATETIME appointment_type VARCHAR(50) appointment_notes TEXT Indexes +1-1 patients patient_id INT first_nam e VARCHAR(20) last_name VARCHAR (20) date of birth DATE gender ENUM(...) email VARCHAR(50) phone_num ber VARCHAR(20) Indexes Q Search + providers provider_id INT first_nam e VARCHAR(20) last_name VARCHAR(20) specialty VARCHAR(50) email VARCHAR(50) phone_num ber VARCHAR(20) Indexes **** Modeling Additions **** MWB MWB MWB ENG IN timestamps create_time, update_time X user username, email, passwor.... category category_id, name Templates 11:18 15-03-2023