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Bar plot with subgroups and subplots

In this exercise, we'll return to our young people survey dataset and investigate whether the proportion of people who like techno music ("Likes Techno") varies by their gender ("Gender") or where they live ("Village - town"). This exercise will give us an opportunity to practice the many things we've learned throughout this course!

We've already imported Seaborn as sns and matplotlib.pyplot as plt.

Questo esercizio fa parte del corso

Introduction to Data Visualization with Seaborn

Visualizza il corso

Istruzioni dell'esercizio

  • Set the figure style to "dark".
  • Adjust the bar plot code to add subplots based on "Gender", arranged in columns.
  • Add the title "Percentage of Young People Who Like Techno" to this FacetGrid plot.
  • Label the x-axis "Location of Residence" and y-axis "% Who Like Techno".

Esercizio pratico interattivo

Prova a risolvere questo esercizio completando il codice di esempio.

# Set the figure style to "dark"
____

# Adjust to add subplots per gender
g = sns.catplot(x="Village - town", y="Likes Techno", 
                data=survey_data, kind="bar",
                ____)

# Add title and axis labels
g.____("Percentage of Young People Who Like Techno", y=1.02)
g.____(____="Location of Residence", 
       ____="% Who Like Techno")

# Show plot
plt.show()
Modifica ed esegui il codice