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)
  census=np.concatenate([data,new_record])
  
  
  # --------------
  #Code starts here
  import numpy as np
  age=census[:,0]
  max_age=max(age)
  min_age=min(age)
  age_mean=age.mean()
  age_std=np.std(age)
  
  
  # --------------
  #Code starts here
  import numpy as np
  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)
  minority_race=0
  if len_1<len_0:
      minority_race=1
  elif len_2<len_1:
      minority_race=2
  elif len_3<len_2:
      minority_race=3
  elif len_4<len_3:
      minority_race=4
  print(minority_race)
  
  
  # --------------
  #Code starts here
  import numpy as np
  senior_citizens=census[census[:,0]>60]
  working_hours_sum=sum(senior_citizens[:,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[:,7].mean()
  avg_pay_low=low[:,7].mean()
  print(avg_pay_high)
  print(avg_pay_low)
  
  
  