Analyze the airline dataset
In Chapter 2 you learned:
- How to check for the presence of missing values, and how to collect summary statistics of time series data contained in a
pandasDataFrame. - To generate boxplots of your data to quickly gain insight in your data.
- Display aggregate statistics of your data using
groupby().
In this exercise, you will apply all these concepts on the airline DataFrame.
Questo esercizio fa parte del corso
Visualizing Time Series Data in Python
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# Print out the number of missing values
print(airline.____)
# Print out summary statistics of the airline DataFrame
print(airline.____)