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  3. Customer Analytics and A/B Testing in Python

Exercise

Plotting time series data

In trying to boost purchases, we have made some changes to our introductory in-app purchase pricing. In this exercise, you will check if this is having an impact on the number of purchases made by purchasing users during their first week.

The dataset user_purchases has been joined to the demographics data and properly filtered. The column 'first_week_purchases' that is 1 for a first week purchase and 0 otherwise has been added. This column is converted to the average number of purchases made per day by users in their first week.

We will try to view the impact of this change by looking at a graph of purchases as described in the instructions.

Instructions

100 XP

Read through and understand code shown and then plot the user_purchases data with 'reg_date' on the x-axis and 'first_week_purchases' on the y-axis.