Removing outliers
While removing outliers isn't always the way to go, for your analysis, you've decided that you will only include flights where the "Price" is not an outlier.
Therefore, you need to find the upper threshold and then use it to remove values above this from the planes DataFrame.
pandas has been imported for you as pd, along with seaborn as sns.
Deze oefening maakt deel uit van de cursus
Exploratory Data Analysis in Python
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
# Find the 75th and 25th percentiles
price_seventy_fifth = ____["____"].____(____)
price_twenty_fifth = ____["____"].____(____)