Two seaborn panels adjusted through the returned Axes

Draw a week of customer support records on two Axes in 1 row and 2 columns. Use the fig and axes that the starter code made as they are.

On the left Axes, draw the number of inquiries by day with sns.lineplot(), one line per channel (hue="channel"), and set the title to Inquiries per day. Change the title of the legend that seaborn adds to Channel.

On the right Axes, draw the average handling time by channel with sns.barplot() without error bars (errorbar=None), and set the title to Average handling time (min).

The figure title is Customer support, one week.

Starter code

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

days = ["Mon", "Tue", "Wed", "Thu", "Fri"] * 2
channels = ["Chat"] * 5 + ["Phone"] * 5
inquiries = [30, 42, 38, 45, 50, 20, 25, 22, 28, 18]
minutes = [6, 7, 5, 8, 6, 12, 14, 11, 13, 15]
support = pd.DataFrame({"day": days, "channel": channels, "inquiries": inquiries, "minutes": minutes})

fig, axes = plt.subplots(1, 2, figsize=(9, 3.5), layout="constrained")
# Write your code here