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And each line here is one vote for a [? museum-goers ?] favorite piece
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of artwork.
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We see "Farmers working at dawn," we see "Imaginative landscape,"
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"Profusion of flowers."
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And our goal is to count up these votes to see which is the most popular.
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Well, let's try using .import again to actually turn this CSV into our very
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own SQLite database.
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Let me go back to my [? TERMINAL, ?] and I'll type sqlite3 votes.db
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to create a votes database.
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I'll hit Enter.
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And now, I can use .import.
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I could say .import a CSV called votes.csv into a table also called
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votes.
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I'll Enter now.
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And now if I SELECT [? star ?] FROM "votes" semicolon,
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I'll see all of my votes now in a single table.
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So I want to tally these votes.
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And we could do that using a technique we learned back in the week
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on querying and relating.
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What if I wanted to group by my titles and count up those groups,
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I could do that.
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I could say SELECT, let's say, "title," and also the COUNT of "title,"
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and [? they ?] count up the votes for each title FROM, in this case,
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my "votes" table like this.
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Now, I want to count not just each vote individually, but I want to group them.
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I want to count votes by group where that group is, in this case,
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the "title" itself.
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So let me try running this query and hitting Enter.
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Well, [? I'll ?] [? see ?] I've started to count some votes,
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like I have Imaginative landscape here, Spring outing, Farmers working at dawn,
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Spring outing down below here too.
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But I seem to be missing something, like I shouldn't have this many groups.
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I should only have four groups.
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Why do I have so many?
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Well, it seems like there are some typos here.
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What typos do you see?
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Feel free to raise your hand.
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SPEAKER 15: So I think that it is a title--
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when you count it is case sensitive, so maybe it is counting one by one.
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SPEAKER 1: Yeah, good idea.
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So maybe it's case sensitive our [? GROUP ?] [? BY, ?] and you'd be
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correct if you said that. [? GROUP ?] [? BY ?] is, in this case,
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case sensitive.
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So if we see here, we see Farmers Working at Dawn,
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all capitalized, at least the Farmers Working and Dawn capitalized.
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Well, that won't be part of the same group
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as let's say Farmers working at dawn all properly capitalized, in this case,
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with lowercase working and lowercase dawn as it is the MFA collections.
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So we could probably fix some capitalization here.
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What other things could we fix?
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So let's hear from one more person.
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Let's go to [? Lawrence. ?]
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SPEAKER 16: [? The ?] [? count ?] on each typo.
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SPEAKER 1: There are some typos in here, absolutely.
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So if I look at some of these, I see not farmers,
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but [? Famers ?] working at dawn.
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I might see instead of Imaginative landscape,
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I just see [? Imagintive ?] landscape, so definitely some
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typos in here to fix as well.
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So let's start working on using our [? UPDATE ?] tool or [? UPDATE ?]
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keyword to fix some of this data, to clean it up, so to speak,
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so we can count up our votes for these artworks.
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Come back to my [? TERMINAL. ?] And now, let's try updating to at least remove
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some of this [? whitespace ?] here.
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You might notice that Imaginative landscape has a space before it,
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and so does Spring outing here.
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That space counts as part of the title, and I want to remove it.
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So what could I do?
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I could try using a function in SQLite, one called [? trim. ?] [? Trim ?] takes
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a string and just removes leading and trailing [? whitespace, ?] [INAUDIBLE]
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back only the characters in the middle.
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So let me try that.
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I'll say UPDATE "votes," my table here, and SET
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the "title" column equal to what?
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Well, the trimmed version of title.
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Trim looks like this--
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trim, and then some parentheses to say the input to this function.
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I'll give it the "title" column.
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Now, I'll hit semicolon.
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And this query will run as follows.
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It will update the votes table.
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And inside the votes table set, the title column
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equal to the trimmed version of whatever values are inside that column,
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trimming here means remove trailing and leading [? whitespace. ?]
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I don't need to apply any condition.
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I don't need to say WHERE dot dot dot, because I want this
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to apply to all rows in my data set.
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Now, I'll hit Enter.
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And let me try running this again.
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I'll say up arrow to get back my old query.
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Now, I'll try counting again, and I think we're making some progress,
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like I can see that I've removed--
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[? removed ?] [? quote ?] [? unquote, ?] those titles that had leading
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or trailing [? whitespace. ?] They're now part of a group
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because their titles now match those groups.
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Let's keep going.
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We noticed before, we had some capitalization issues.
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So let's fix those as well.
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I can go back to my [? TERMINAL, ?] and we could introduce this other function,
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one called [? upper. ?]
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