Finding the Percentage of Missing Values in each Column of a Pandas DataFrame

Very good delivery. well done.

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Character In the video It's great, I like it a lot $$

very nice way of presenting it ;-)

But I want missing values in each column.
Meaning missing value in each column / total value in each column.
Totla value in each column = missing value + non Missing value.

How to remove Nan column by applying condition? pls explain

Explained in very simple way 👍

Thank you very much. His video and all the explanation, demonstrating all the possibilities until he reached the most simplistic option was sensational.
For more videos and classes like this. Congratulations!

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Df.isna().sum().round(4)*100 would be more efficient with chaining.

Bro...you are great. Awesome !!

Great explanation

where can i download the filghts.csv file?