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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.

Deze oefening maakt deel uit van de cursus

Introduction to Data Visualization with Seaborn

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Oefeninstructies

  • 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".

Praktische interactieve oefening

Probeer deze oefening eens door deze voorbeeldcode in te vullen.

# 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()
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