Average versus median
You now know how to use numpy functions to get a better feeling for your data.
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. np_baseball is available.
This exercise is part of the course
Introduction to Python
Exercise instructions
- Create
numpyarraynp_height_inthat is equal to first column ofnp_baseball. - Print out the mean of
np_height_in. - Print out the median of
np_height_in.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
import numpy as np
# Create np_height_in from np_baseball
# Print out the mean of np_height_in
# Print out the median of np_height_in