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Visualize RFM distributions

We have loaded the dataset with RFM values you calculated previously as datamart_rfm. You will now explore their distributions.

The plt.subplot(...) call before the seaborn function call allows you to plot several subplots in one chart, you do not have to change it.

Libraries seaborn and matplotlib.pyplot have been loaded as sns and plt respectively. Feel free to explore the dataset in the console.

Este exercício faz parte do curso

Customer Segmentation in Python

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Instruções do exercício

  • Plot the distribution of Recency.
  • Plot the distribution of Frequency.
  • Plot the distribution of MonetaryValue.
  • Show the plot.

Exercício interativo prático

Experimente este exercício completando este código de exemplo.

# Plot recency distribution
plt.subplot(3, 1, 1); sns.____(datamart_rfm['____'])

# Plot frequency distribution
plt.____; ____(____['____'])

# Plot monetary value distribution
____

# Show the plot
plt.____()
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