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.
Diese Übung ist Teil des Kurses
Customer Segmentation in Python
Anleitung zur Übung
- Plot the distribution of
Recency
. - Plot the distribution of
Frequency
. - Plot the distribution of
MonetaryValue
. - Show the plot.
Interaktive Übung
Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.
# Plot recency distribution
plt.subplot(3, 1, 1); sns.____(datamart_rfm['____'])
# Plot frequency distribution
plt.____; ____(____['____'])
# Plot monetary value distribution
____
# Show the plot
plt.____()