Learn

There is a NumPy function dedicated to finding the standard deviation of a dataset — we can cut out the step of first finding the variance. The NumPy function `std()`

takes a dataset as a parameter and returns the standard deviation of that dataset:

import numpy as np dataset = [4, 8, 15, 16, 23, 42] standard_deviation = np.std()

### Instructions

**1.**

We’ve removed the code that calculated the variance of each dataset. By using `np.std()`

we don’t need to take that middle step anymore.

Call `np.std()`

using `nba_data`

as a parameter, and store the result in `nba_standard_deviation`

.

Make a similar function call using `okcupid_data`

and store the result in `okcupid_standard_deviation`

.

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