Get startedGet started for free

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.

This exercise is part of the course

Introduction to Data Visualization with Seaborn

View Course

Exercise instructions

  • 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".

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# 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()
Edit and Run Code