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  3. Customer Analytics and A/B Testing in Python

Exercise

Loading & examining our data

Let's begin by loading and examining two datasets: one that contains a set of user demographics and the other -- a set of data relating to in-app purchases for our meditation app.

Instructions

100 XP
  • Import pandas as pd.
  • Load the file 'customer_data.csv' as a DataFrame called customer_data.
  • Load the file 'inapp_purchases.csv' as a DataFrame called app_purchases.
  • Print the columns of customer_data and then app_purchases using their .columns attribute.