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- [Instructor] In this self check exercise

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I'd like you to go ahead
and create a word cloud

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using the trends in the U.S. list

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that you created in the
preceding self check exercise.

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So go ahead and give that a shot now

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and then come back to see my results.

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Okay let's go ahead and do
what it is we need to do

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to set up a word cloud

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for the purpose of displaying
the top U.S. trends

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as of the recording time for this video.

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So just like up above we're
going to create a dictionary

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that will be key value pairs

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representing today's trending topics

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and once again we're going
to walk our way through

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the already existing trends list

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that we created in the
previous self check exercise

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and for each of those trends
we're going to be creating

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a new key value pair in which the key

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is the trends name once again

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and the value is the
corresponding tweet volume.

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And as we did in the previous video

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or the previous couple of videos

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we previously filtered
out any of the tweets

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that had none as their tweet volume

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so we'll go ahead and execute that.

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We have to set up a word cloud

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and fit the words to the cloud

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now I'm assuming that you're still working

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in the same session

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where you already configured
the word cloud object

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that I showed you in the preceding video

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so we can just reuse
that word cloud object

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to create a new word cloud in this case.

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So word cloud already
exists in my session.

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I executed the same code
in this jupiter notebook

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as I did in the iPython session

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and when I fit words to this set of topics

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it's going to enable me to
create that new word cloud

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and here I'm going to
write that out to a file

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as USTrendingTwitter.png.

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Now let me go ahead and open up that file

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and show it to you.

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So let me just drag that
onto the screen here.

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So this is the word cloud
and you will see some things

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that were the same as the ones that we saw

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for New York City as well.

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There's probably a few that
are different here also

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because what's trending in New York City

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is not necessarily what's trending

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for the entire United States.