text: # --------------
  # Importing header files
  import numpy as np
  
  # Path of the file has been stored in variable called 'path'
  data = np.genfromtxt(path,  delimiter=",", skip_header=1)
  #print(data)
  #New record
  new_record=[[50,  9,  4,  1,  0,  0, 40,  0]]
  census = np.concatenate((data, new_record), axis = 0)
  #Code starts here
  print(census)
  
  
  # --------------
  #Code starts here
  age = census[:,0]
  max_age = age.max(axis=0)
  min_age = age.min()
  age_mean = age.mean()
  age_std = age.std()
  #print(age_std)
  
  
  # --------------
  #Code starts here
  # R = census[:,2]
  # print(R)
  
  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)
  x= min(len_0,len_1,len_2,len_3,len_4)
  if len_0 == x:
      minority_race = 0
  if len_1 == x:
      minority_race = 1
  if len_2 == x:
      minority_race =2
  if len_3 == x:
      minority_race = 3
  if len_4 == x:
      minority_race = 4
  
  
  # --------------
  #Code starts here
  senior_citizens = census[census[:,0] > 60]
  working_hours_sum = senior_citizens[:,6].sum()
  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[:,7].mean()
  
  print(avg_pay_high)
  avg_pay_low = low[:,7].mean()
  print(avg_pay_low)
  print(avg_pay_high == avg_pay_low)
  
  
  