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]]
  data = np.genfromtxt(path,delimiter=",",skip_header=1)
  print(data.shape)
  census = np.concatenate((data,new_record),axis=0)
  print(census.shape)
  #Code starts here
  
  
  
  # --------------
  #Code starts here
  import numpy as np 
  
  age = census[:,0]
  print(age)
  max_age = age.max(axis=0)
  min_age = age.min()
  age_mean = np.mean(age)
  age_std = np.std(age)
  print(max_age,min_age,age_mean,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]
  print(race_0,race_1,race_2,race_3,race_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(len_0,len_1,len_2,len_3,len_4)
  
  race_list = [len_0,len_1,len_2,len_3,len_4]
  print(race_list)
  
  minority_race = race_list.index(min(race_list))
  print(minority_race)
  
  
  
  # --------------
  #Code starts here
  senior_citizens = census[age > 60]
  print(senior_citizens)
  
  working_hours_sum = senior_citizens.sum(axis=0)[6]
  
  senior_citizens_len = len(senior_citizens)
  
  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]
  avg_pay_low = low.mean(axis=0)[7]
  if avg_pay_high>avg_pay_low:
      print('True')
      
  
  
  