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 exercise is 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()