Visualize snake plot
Good work! You will now use the melted dataset to build the snake plot. The melted data is loaded as datamart_melt.
The seaborn library is loaded as sns and matplotlib.pyplot is available as plt.
You can use the console to explore the melted dataset.
This is a part of the course
“Customer Segmentation in Python”
Exercise instructions
- Add the plot title.
- Add the X-axis label "Metric".
- Add the Y-axis label "Value".
- Plot a line for each value of the
Clusterindatamart_melt.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Add the plot title
plt.____('Snake plot of normalized variables')
# Add the x axis label
plt.____('____')
# Add the y axis label
plt.____('____')
# Plot a line for each value of the cluster variable
sns.____(____=____, x='____', y='____', hue='____')
plt.show()