Python$3$

Complete the following function that takes in a frame and assigns the closest matching type to each column. You can choose from the

following three types: int, float, and str$.($Note that columns containing only integers should have the int type, not the float

type.$)$ lgnore any numpy.nan values when making decisions. Return the passed$-$in frame.

def guess$\_$types$($frame$)$:

return NotImplemented

print$("$Data description after types are assigned:"$)$

guess$\_$types$($world$\_$data$)$

world$\_$data.describe$()$

Now we can see more complete statistics for our numerical columns. Our data is so much cleaner than when we started, but it still has some

issues lurking in it and is not ready for our machine learning algorithms.