text: # --------------
  # Importing header files
  import numpy as np
  
  # Path of the file has been stored in variable called 'path'
  
  #New record
  new_record=[[50,  9,  4,  1,  0,  0, 40,  0]]
  
  #Code starts here
  data = np.genfromtxt(path, delimiter=",", skip_header=1)
  #print(data)
  
  census = np.concatenate((data, new_record))
  print(census)
  
  
  # --------------
  #Code starts here
  
  age = np.array(census[:,0])
  print(age)
  max_age = np.amax(age)
  print(max_age)
  
  min_age = np.min(age)
  print(min_age)
  
  age_mean = np.mean(age)
  print(age_mean)
  
  age_std = np.std(age)
  print(age_std)
  
  
  # --------------
  #Code starts here
  
  race_0 = census[census[:,2]==0]
  race_1 = census[census[:,2]==1]
  race_2 = census[census[:,2]==2]
  race_3 = census[census[:,2]==3]
  race_4 = census[census[:,2]==4]
  
  len_0 = len(race_0)
  len_1 = len(race_1)
  len_2 = len(race_2)
  len_3 = len(race_3)
  len_4 = len(race_4)
  
  print("Citizen in race 0:" + str(len_0))
  print("Citizen in race 1:" + str(len_1))
  print("Citizen in race 2:" + str(len_2))
  print("Citizen in race 3:" + str(len_3))
  print("Citizen in race 4:" + str(len_4))
  
  minority_race = 3
  
  
  # --------------
  #Code starts here
  
  senior_citizens = census[census[:,0]>60]
  
  working_hours_sum = senior_citizens.sum(axis=0)[6]
  print(working_hours_sum)
  
  senior_citizens_len = len(senior_citizens)
  print(senior_citizens_len)
  
  avg_working_hours = working_hours_sum/senior_citizens_len
  print(avg_working_hours)
  
  
  # --------------
  #Code starts here
  
  high = census[census[:,1]>10]
  low = census[census[:,1]<=10]
  
  avg_pay_high = high.mean(axis=0)[7]
  print(avg_pay_high)
  
  avg_pay_low = low.mean(axis=0)[7]
  print(avg_pay_low)
  
  
  