<jupyter_start><jupyter_text>Predicting Gross Profit<jupyter_code>import numpy as np
import matplotlib.pyplot as plt
rev_m = 170
rev_stdev = 20
iterations = 1000
rev = np.random.normal(rev_m,rev_stdev,iterations)
rev
plt.figure(figsize=(15,6))
plt.plot(rev)
plt.show()
COGS = - (rev * np.random.normal(0.6,0.1)) #60% da receita #desvio de 10%

plt.figure(figsize = (15,10))
plt.plot(COGS)
plt.show()
COGS.mean()
COGS.std()<jupyter_output><empty_output>
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