Strategies for remaining missing data

The five percent rule has worked nicely for your planes dataset, eliminating missing values from nine out of 11 columns!

Now, you need to decide what to do with the "Additional_Info" and "Price" columns, which are missing 300 and 368 values respectively.

You'll first take a look at what "Additional_Info" contains, then visualize the price of plane tickets by different airlines.

The following imports have been made for you:

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt