Abus company is responsible for offering public transportation in the suburbs of a large metropolitan area. The company has significant data management requirements: It needs to keep track of its 150 vehicles, 400 drivers, 60 bus routes, and hundreds of scheduled departures every day. In addition, it is essential for the company to know which drivers are certified to drive which buses. The data that the company has available include the following attributes: RoutelD, RouteStartPoint, Route EndPoint, Route Standard DrivingTime, ScheduleDate, Scheduled DepTime, ScheduledArrTime, DriverID, Driver FName, DriverlName, Date DriverJoined Company, DriverDOB, VehicleID, VehicleMake, VehicleModel. Vehicle PassangerCapacity, DriverCertStartDate, DriverCertEndDate. Sample data for this set of attributes are as follows: 28. Grand Avenue, Madison Street, 38, 19/12/2012, 8.30, 9.18, 8273, Mary, Smith, 5/2/2007, 3/23/1974, 1123, GreatTrucks, CityCoach, 58, 6/10/2012, 6/9/2013 9/12/2012, 9.30, 10.12, 7234. John, Jones, 10/12/2011, 12/15/1991, 5673, GreatTrucks, CityCoach 2, 62, 4/12/2012,4/11/2013 19/12/2012, 10.30, 11.08, 2343, Pat, Moore, 2/24/1982, 1/19/1958, 4323, PowerTransport, MidiBus, 32, 8/20/2012, 8/19/2013) Note that the information for specific bus schedules (starting with the attribute ScheduleDate) is repeated three times in the sample data set and is separated by the "T" symbol. Also, take into account that in this case, the certification is specific to a particular vehicle driver pair. Based on the facts stated above, 1. Identify the functional dependencies between the attributes. 2. Organize the attributes into a set of 3NF relations