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Interquartile Range

IQR in SciPy

In the last exercise, we calculated the IQR by finding the quartiles using NumPy and finding the difference ourselves. The SciPy library has a function that can calculate the IQR all in one step.

The iqr() function takes a dataset as a parameter and returns the Interquartile Range. Notice that when we imported iqr(), we imported it from the stats submodule:

From scipy.stats import iqr

dataset = [4, 10, 38, 85, 193]
interquartile_range = iqr(dataset)

Instructions

Let’s calculate the IQR again, but this time, use SciPy’s function.

Create a variable named interquartile_range and set it equal to the result of calling iqr() using songs as a parameter.

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