Count plots
In this exercise, we'll return to exploring our dataset that contains the responses to a survey sent out to young people. We might suspect that young people spend a lot of time on the internet, but how much do they report using the internet each day? Let's use a count plot to break down the number of survey responses in each category and then explore whether it changes based on age.
As a reminder, to create a count plot, we'll use the catplot() function and specify the name of the categorical variable to count (x=____), the pandas DataFrame to use (data=____), and the type of plot (kind="count").
Seaborn has been imported as sns and matplotlib.pyplot has been imported as plt.
Latihan ini adalah bagian dari kursus
Introduction to Data Visualization with Seaborn
Latihan interaktif praktis
Cobalah latihan ini dengan menyelesaikan kode contoh berikut.
# Create count plot of internet usage
# Show plot
plt.show()