Mean or median
As data scientists, we often look to describe data as concisely as possible. This brings us to the two most common measures of centrality: mean and median. In this exercise, you'll examine a couple different scenarios and decide which metric is optimal for effectively describing the data.
More concretely, you'll be exploring Australian weather data containing features related to temperature and wind speeds. This dataset has already been imported as weather and both the matplotlib and pandas packages have been imported as plt and pd for you to use the rest of the chapter as well.
Deze oefening maakt deel uit van de cursus
Practicing Statistics Interview Questions in Python
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
# Visualize the distribution
plt.hist(____)
plt.show()