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
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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.
This exercise is part of the course
Data Manipulation in Julia
Exercise instructions
- Drop missing values only from the
departure_delaycolumn, saving the result in place. - Print the result of
describe()to check your work.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Drop missing values from departure_delay
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# Print describe
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