Python Data Analysis | Data Science Tutorials #6 NAN Null Values

In this video continue our Python Data Analysis with Pandas series.
When we create a DataFrame in Pandas, we may end up with corrupted data, or missing values. Pandas compensates for that with something called "NAN" values (take from Numpy) which stands for "Not a number".

In this video we will learn about a few Pandas tools to deal with NANs in our dataframe.

The code will be uploaded here:

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