Incorrect pew_long.tail() examples in 6.2.1

[johncassil]

Hello,

Really appreciating this book. I thought I'd take the time to register that this doesn't add up.

In the pew dataset shown in the below picture, "Don't know/refused" is a value in the religion column:

After we melt with:
pew_long = pd.melt(pew, id_vars="religion")
we should not see this value in the new variable column on page 126. (There is another example of this with different arguments right afterward that also have this value in the income column):

I can't say what went wrong, and I'm on mobile at the moment, but I thought I'd let you know!

[PullMyFork]

I found this very confusing as well - I'm sure many others have. If you actually pull pew.csv into a dataframe and do a 'pew.head', you will discover that "Don't know/refused' is also the right-most income bracket column, in addition to appearing in row #4 as a response to religion.

For the sake of reader comprehension, this would ideally have been either depicted or mentioned in text.