Decision models (similarly to databases) frequently deal with analysis of collections of objects. This month’s Challenge deals with such a situation: you need to help an HR office create a rules-based service to analyze its employees. Each employee has a unique name, age, gender, marital status, locations (places of residence), number of children, salary, and more attributes. This information is coming to the service as a JSON request such as in this file. Your service should find answers to questions such as:
- What is an average salary? What are the maximal and minimal salaries?
- How many employees are single?
- In which states do the employee have residences?
- How many people are inside 20% of the highest-paid employees? List these high-paid employees.