Average versus median

You now know how to use numpy functions to get a better feeling for your data. It basically comes down to importing numpy and then calling several simple functions on the numpy arrays:

import numpy as np
x = [1, 4, 8, 10, 12]
np.mean(x)
np.median(x)

The baseball data is available as a 2D numpy array with 3 columns (height, weight, age) and 1015 rows. The name of this numpy array is np_baseball. After restructuring the data, however, you notice that some height values are abnormally high. Follow the instructions and discover which summary statistic is best suited if you're dealing with so-called outliers.

Create numpy array np_height_in that is equal to first column of np_baseball.
Print out the mean of np_height_in.
Print out the median of np_height_in.

Exercise

Average versus median

Instructions