Analyzing retention rates for the campaign
Now that you've calculated the total subscribers and retained subscribers, you can settle the question of which channel had the highest retention rate.
In this exercise, you will calculate the retention rate for each subscription channel and visualize your results.
Diese Übung ist Teil des Kurses
Analyzing Marketing Campaigns with pandas
Anleitung zur Übung
- Divide
retention_subs
byretention_total
to get the retention rate by subscribing channel by date subscribed. - Add the title
'Retention Rate by Subscribing Channel'
. - Name the x-axis label and y-axis label
'Date Subscribed'
and'Retention Rate (%)'
respectively. - Place the legend in the
upper right
and display the plot.
Interaktive Übung
Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.
# Divide retained subscribers by total subscribers
retention_rate = ____/____
retention_rate_df = pd.DataFrame(retention_rate.unstack(level=1))
# Plot retention rate
retention_rate_df.plot()
# Add a title, x-label, y-label, legend and display the plot
____
____
____
____
plt.show()