Hello need to modify this map-reduce program. It must demonstrate that each driver has covered average # of miles each week.

The columns are : ID numbers of Drivers, the weeks they are driving, no of hours in each week they are driving and the miles they are covering each week.

Python Code

from mrjob.job import MRJob #importing the "MRjob" library

class MRTrucker(MRJob): #creates the class def mapper(self, _, line): #we are defining the mapper class instance (driversID, drivingWeeks, HoursPerWeek, MilesCovered) = line.split(',')#since we are using cvs #file it most be split with commas "," yield HoursPerWeek, float(MilesCovered) #the mapper ends and returning the HoursPerWeek, and the #MilesCovered and we are sending it as a float value

def reducer (self, HoursPerWeek, MilesCovered): #Defines the reducer function total = 0 #we are asigning the varible numElements = 0 #we are asigning another varible for x in MilesCovered: #The loop will search for x in this case "HoursPerWeek" in the list #Example: HoursPerWeek 40 [then it will find how many employees work 40 hours in the datafile total += x # EXAMPLE 325+2+221 and so on

numElements += 1

yield HoursPerWeek, total / numElements #These calculates the avarage total number #of drivers divided by the total number of people on the list

if __name__ == '__main__': #it runs the program MRTrucker.run()

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