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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.

Cet exercice fait partie du cours

Python for R Users

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Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de code.

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