# --------------
# 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
age = census[:,0:1]
max_age = age.max()
min_age = age.min()
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)
if(len_0<len_1 and len_0<len_2 and len_0<len_3 and len_0<len_4):
    minority_race = 0
elif(len_1<len_0 and len_1<len_2 and len_1<len_3 and len_1<len_4):
    minority_race = 1
elif(len_2<len_0 and len_2<len_1 and len_2<len_3 and len_2<len_4):
    minority_race = 2
elif(len_3<len_0 and len_3<len_1 and len_3<len_2 and len_3<len_4):
    minority_race = 3
else:
    minority_race = 4



# --------------
#Code starts here
senior_citizens = census[census[:,0]>60]
working_hours_sum = senior_citizens[:,6].sum(axis=0)
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)


