Run the follwoing codes to get the output figure. Then change to codes to generate a histogram to show age data distribution around 50 with the number of 100 bins. After that, save the histogram to be 'png'. import matplotlib. pyplot as plt
import numpy as np

np. random. seed(5)
ages = [np. random. normal(loc=40,scale=10) for x in range(100)]
#ages distributed around 40
distributed around 40
plt. hist(ages, bins=45) #bins is the number of bars
plt. title("Ages per Population")
plt. xlabel("ages")
plt. ylabel("# of people")
plt. show()

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