Missing data
Let's now explore different methods to handle missing data.
It's important to know different methods to deal with missing data, since you are not always allowed to drop observations from the dataset.
The dataset data and pandas as pd are available in your session.
Deze oefening maakt deel uit van de cursus
Analyzing IoT Data in Python
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
# Print head of the DataFrame
print(data.head())
# Drop missing rows
data_clean = ____
____