A heatmap of averages by OS and age group

To check the claim "Android users in their teens use apps the longest," split the daily app usage time (minutes) of 12 respondents by two criteria, operating system (os) and age group (age), and look at the averages.

Use pivot_table() to make a DataFrame of averages with operating systems as rows and age groups as columns, and draw it with seaborn's heatmap(), writing the average in each cell as a whole number (fmt=".0f"). Set the title to Average daily minutes.

Starter code

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt

usage = pd.DataFrame({
    "os": ["Android", "iOS"] * 6,
    "age": ["10s"] * 4 + ["20s"] * 4 + ["30s"] * 4,
    "minutes": [190, 210, 230, 220, 150, 170, 160, 150, 110, 120, 130, 100],
})

# Write your code here