Although this dataset does not have any NaNs, you could utilize the dropna function to drop rows with missing values. We will not be providing links to the relevant page in the Pandas API anymore. Instead, you should develop the habit of Googling and finding out how to use the API on your own, which is an important skill for working with Python libraries. Once you are done with that, print out summary information on the table again to ensure that the changes are saved. --- Your code here spotify_na-> spotify_na.? BH