a code sample to demonstrate random sampling to estimate large numbers

rando.py

# rando | jeffehobbs@gmail.com
#
# a code sample to demonstrate random sampling to estimate large numbers

import random

# globals
LARGE_NUMBER = 1000000
CHANCE = 20 # as in "1 in 20"
COUNT = 0

# main loop
i = 0
while i < LARGE_NUMBER:
	number = random.randint(1, CHANCE)
	if number == CHANCE:
		COUNT += 1
	i += 1 

# calculate estimate + diff
ESTIMATE = CHANCE * COUNT
DIFFERENCE = abs(LARGE_NUMBER - ESTIMATE)
PERCENT_DIFFERENCE = str(round(((DIFFERENCE / LARGE_NUMBER) * 100), 2))

# print results
print('---')
print(f'ACTUAL LARGE NUMBER:   {LARGE_NUMBER}')
print(f'CHANCE OF RECORDING:   1 in {CHANCE}')
print(f'ESTIMATE OF LARGE NUM: {ESTIMATE}')
print(f'DIFFERENCE:            {DIFFERENCE}')
print(f'PERCENT DIFFERENCE:    {PERCENT_DIFFERENCE}%')
print('---')

#fin