# --------------
# 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("\ndata: \n\n",data)
print("\ntype of data: \n\n",type(data))
census=np.concatenate((data,new_record))
print(census)
#Code starts here



# --------------
#Code starts here
age=census[:,0]
max_age=np.max(age)
min_age=np.min(age)
age_mean=np.mean(age)
age_std=np.std(age)
print(max_age)
print(min_age)
print(age_mean)
print(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]
r=[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)
m=[len_0,len_1,len_2,len_3,len_4]
minority_race = 3




print(minority_race)


# --------------
#Code starts here
senior_citizens=census[census[:,0]>60]

#Calculating the sum of all the values of array
working_hours_sum=senior_citizens.sum(axis=0)[6]

#Finding the length of the array
senior_citizens_len=len(senior_citizens)

#Finding the average working hours
avg_working_hours=working_hours_sum/senior_citizens_len

#Printing the average working hours
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)



# --------------
# 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("\ndata: \n\n",data)
print("\ntype of data: \n\n",type(data))
census=np.concatenate((data,new_record))
print(census)
#Code starts here



# --------------
#Code starts here
age=census[:,0]
max_age=np.max(age)
min_age=np.min(age)
age_mean=np.mean(age)
age_std=np.std(age)
print(max_age)
print(min_age)
print(age_mean)
print(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]
r=[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)
m=[len_0,len_1,len_2,len_3,len_4]
minority_race = 3




print(minority_race)


# --------------
#Code starts here
senior_citizens=census[census[:,0]>60]

#Calculating the sum of all the values of array
working_hours_sum=senior_citizens.sum(axis=0)[6]

#Finding the length of the array
senior_citizens_len=len(senior_citizens)

#Finding the average working hours
avg_working_hours=working_hours_sum/senior_citizens_len

#Printing the average working hours
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)



# -------------- # Importing header files # Path of the file has been stored in variable called 'path' #New record #Code starts here # -------------- #Code starts here # -------------- #Code starts here # -------------- #Code starts here #Calculating the sum of all the values of array #Finding the length of the array #Finding the average working hours #Printing the average working hours # -------------- #Code starts here