datasource for 'Air Quality' dataset :http://archive.ics.uci.edu/ml/machine-learning-databases/00360/. from IPython.display import display from IPython.display import Image. import pandas as pd import numpy as np from sklearn.impute import SimpleImputer Air Quality dataset datasource for 'Air Quality' dataset :http://archive.ics.uci.edu/ml/machine-learning-databases/00360/ Notice how there are many null (NaN) values in this dataset. Also notice how they are mostly in rows numbered 9466-9470. Also notice how there are null valeus also in the last columns of the data in rows 0-4 as well. This could cause issues when trying to manipulate the data later on.
Where do these null values come from in this dataset? We will discuss..