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.
Este ejercicio forma parte del curso
Python for R Users
Ejercicio interactivo práctico
Prueba este ejercicio completando el código de muestra.
# Calculate total_delay
flights['total_delay'] = ____ + ____