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Groupby aggregates

Now let's look for some patterns in the data. One way you can do this is to look at groupby aggregates of the data. You will see if delays vary with season, carrier and origin airport.

You will visualize this data in the next exercise and in order for the plots to render nicely, we will use a subset of the original flights data in these exercises.

This exercise is part of the course

Python for R Users

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Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Calculate total_delay
flights['total_delay'] = ____ + ____
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