House prices

Question

import numpy as np

data = np.array([150000, 125000, 320000, 540000, 200000, 120000, 160000, 230000, 280000, 290000, 300000, 500000, 420000, 100000, 150000, 280000])

"""
You are given an array that represents house prices.
Calculate and output the percentage of houses that are within one standard deviation from the mean.
"""
#####
"""
To calculate the percentage, divide the number of houses that satisfy the condition by the total number of houses, and multiply the result by 100.
"""

https://code.sololearn.com/cDH9mSBk50jU/?ref=app
https://code.sololearn.com/cDH9mSBk50jU/?ref=app

Answer 1

You must calculate mean and standard deviation (std).
mean + std and mean - std are the borders of the prices within one std. Count all prices that are in, and make a percentage of it

Answer 2

What's the point to have test case result hidden? How one supposed to debug the code?

Answer 3

import numpy as np

data = np.array([150000, 125000,320000,540000, 200000, 120000, 160000, 230000, 280000, 290000, 300000, 500000, 420000, 100000, 150000, 280000])

#Calculating tha mean
mean = sum(data)/len(data)

#Calculating Standard Deviation
st_dev = np.std(data)

#Stablishing the first standard deviation
mean1 = mean + st_dev
mean2 = mean - st_dev

#List with the values of the first STDEV
y = []
for x in data:
if (x >= mean2 and x <= mean1):
y.append(x)

#calculating the percentange
z = round((sum(y)/sum(data))*100, 2)

print("{}%".format(z))

Answer 4

Thank you 😊