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.
Cet exercice fait partie du cours
Visualizing Time Series Data in Python
Exercice interactif pratique
Essayez cet exercice en complétant cet exemple de code.
# Print out the number of missing values
print(airline.____)
# Print out summary statistics of the airline DataFrame
print(airline.____)