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.
This exercise is part of the course
Customer Segmentation in Python
Exercise instructions
- Plot the distribution of
Recency. - Plot the distribution of
Frequency. - Plot the distribution of
MonetaryValue. - Show the plot.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Plot recency distribution
plt.subplot(3, 1, 1); sns.____(datamart_rfm['____'])
# Plot frequency distribution
plt.____; ____(____['____'])
# Plot monetary value distribution
____
# Show the plot
plt.____()