Finding missing data with Python

One of the most important steps when analyzing data is to check for missing values as it can bias an analysis if not caught early.

In this exercise, you will find missing values, in the purchases table, with a couple of lines of Python code. Specifically, you be updating a script a colleague prepared that has a few missing details.

Note: if you complete the script correctly and are still not seeing any counts for missing values, try deleting and recreating the visualization. This issue can sometimes occur with Python-based visualizations.