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.
Questo esercizio fa parte del corso
Introduction to Data Visualization with Seaborn
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# Create count plot of internet usage
# Show plot
plt.show()