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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.

Este exercício faz parte do curso

Customer Segmentation in Python

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Instruções do exercício

  • Add the plot title.
  • Add the X-axis label "Metric".
  • Add the Y-axis label "Value".
  • Plot a line for each value of the Cluster in datamart_melt.

Exercício interativo prático

Experimente este exercício completando este código de exemplo.

# 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()
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