Standard Deviation & Variance

Standard Deviation and Variance

In [1]:
%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt

dataMean = 100.0
stdDev = 50.0
numberOfDataPoints = 10000

incomes = np.random.normal(dataMean, stdDev, numberOfDataPoints)

plt.hist(incomes, 50)
plt.show()
output png
In [2]:
incomes.std()
Out [2]:
49.81824529525167
In [3]:
incomes.var()
Out [3]:
2481.8575642978653
Page Tags:
python
data-science
jupyter
learning
numpy