Examining the different cohorts
To finish this lesson, you're now going to plot by 'country' and then by 'device' and examine the results. Hopefully you will see the observed lift across all groups as designed. This would point to the change being the cause of the lift, not some other event impacting the purchase rate.
Cet exercice fait partie du cours
Customer Analytics and A/B Testing in Python
Exercice interactif pratique
Essayez cet exercice en complétant cet exemple de code.
# Plot the average first week purchases for each country by registration date
country_pivot.plot(x='____', y=['____', '____', '____', '____', '____', '____'])
plt.show()