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.
Bu egzersiz
Introduction to Data Visualization with Seaborn
kursunun bir parçasıdırEgzersiz talimatları
- 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 thisFacetGridplot. - Label the x-axis
"Location of Residence"and y-axis"% Who Like Techno".
Uygulamalı interaktif egzersiz
Bu örnek kodu tamamlayarak bu egzersizi bitirin.
# 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()