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)
  data = np.asarray(data)
  print(data)
  #New record
  new_record=[[50,  9,  4,  1,  0,  0, 40,  0]]
  new_record = np.asarray(new_record)
  print(new_record)
  
  #Code starts here
  census =np.concatenate((data,new_record),axis=0)
  print(census)
  
  
  # --------------
  #Code starts here
  age=census[:,0]
  print(age)
  max_age=max(age)
  print(max_age)
  min_age=min(age)
  print(min_age)
  
  
  
  age_mean=np.mean(age)
  print(age_mean)
  
  age_std=np.std(age)
  print(age_std)
  
  
  # --------------
  #Code starts here
  #Code starts here
  
  #high=census[census[:,1]>10]
  
  
  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(len_0)
  print(len_1)
  print(len_2)
  print(len_3)
  print(len_4)
  
  if len_0 <=min(len_0,len_1,len_4,len_3,len_2):
      minority_race=0
  if len_1 <=min(len_0,len_1,len_4,len_3,len_2):
      minority_race=1
  if len_2 <=min(len_0,len_1,len_4,len_3,len_2):
      minority_race=2
  if len_3 <=min(len_0,len_1,len_4,len_3,len_2):
      minority_race=3
  else:
      minority_race=4
  
  print(minority_race)
  
  
  # --------------
  #Code starts here
  
  senior_citizens=census[census[:,0]>60]
  working_hours_sum=0
  senior_citizens_len=0
  
  working_hours_sum =sum(senior_citizens[:,6])
  
  senior_citizens_len=len(senior_citizens)
  avg_working_hours = (working_hours_sum)/senior_citizens_len
  
  print(working_hours_sum)
  print(senior_citizens_len)
  print(avg_working_hours)
  
  
  
  
  
  
  # --------------
  #Code starts here
  high=census[census[:,1]>10]
  avg_pay_high=0
  avg_pay_low=0
  low=census[census[:,1]<=10]
  count1=0
  count2=0
  
  print(high)
  print(low)
  
  avg_pay_high=np.mean(high[:,7])
  avg_pay_low=np.mean(low[:,7])
  
  print(avg_pay_high)
  print(avg_pay_low)
  
  
  