An insurance company maintains records of sales made by its employees. Each employee is assigned to a state. States are grouped under regions. The following tables contain the data:
TABLE regions id INTEGER PRIMARY KEY name VARCHAR(50) NOT NULL TABLE states id INTEGER PRIMARY KEY name VARCHAR(50) NOT NULL regionId INTEGER NOT NULL FOREIGN KEY (regionId) REFERENCES regions(id) TABLE employees id INTEGER PRIMARY KEY name VARCHAR(50) NOT NULL stateId INTEGER NOT NULL FOREIGN KEY (stateId) REFERENCES states(id) TABLE sales id INTEGER PRIMARY KEY amount INTEGER NOT NULL employeeId INTEGER NOT NULL FOREIGN KEY (employeeId) REFERENCES employees(id)
Management requires a comparative region sales analysis report.
Write a query that returns:
- The region name.
- Average sales per employee for the region (Average sales = Total sales made for the region / Number of employees in the region).
- The difference between the average sales of the region with the highest average sales, and the average sales per employee for the region (average sales to be calculated as explained above).
Employees can have multiple sales. A region with no sales should be also returned. Use 0 for average sales per employee for such a region when calculating the 2nd and the 3rd column.
See the example case for more details.
- Example case: Wrong answer
- Region-wise sales correctly calculated: Wrong answer
- Some regions have no employees, or all employees have no sales: Wrong answer
- All regions have sales, employees have zero to many sales: Wrong answer