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.
Deze oefening maakt deel uit van de cursus
Customer Analytics and A/B Testing in Python
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
# Plot the average first week purchases for each country by registration date
country_pivot.plot(x='____', y=['____', '____', '____', '____', '____', '____'])
plt.show()