Missing delays?
The last exercise showed you that there are columns in flights
containing missing values. The result of the describe()
function is below. You don't care too much about missing values in most columns, but missing values in the departure_delay
column are problematic - that's one of the main columns you want to study.
Row variable nmissing
Symbol Int64
__________________________________
1 year 0
2 month 0
3 day 0
4 day_of_week 0
5 airline 0
6 flight_number 4
7 origin_airport 0
8 destination_airport 3
9 scheduled_departure 7
10 departure_time 3
11 departure_delay 56
12 scheduled_time 0
The DataFrames
package and flights
dataset have been loaded for you.
Este ejercicio forma parte del curso
Data Manipulation in Julia
Instrucciones del ejercicio
- Drop missing values only from the
departure_delay
column, saving the result in place. - Print the result of
describe()
to check your work.
Ejercicio interactivo práctico
Prueba este ejercicio y completa el código de muestra.
# Drop missing values from departure_delay
____
# Print describe
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