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[? Upper ?] converts a string like Farmers
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working at dawn to be all in uppercase, kind of shout it out.
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And that's useful for us here because we could kind of force everything
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to uppercase, thereby removing any inconsistencies in capitalization.
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So let me try that.
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I'll say UPDATE, again, the "votes" table.
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And this time, I'll set "title" equal to the uppercase version of "title."
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So upper here is a function in SQLite that
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takes some values associated with the column and [? uppercases ?]
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the entire thing to remove any inconsistencies in capitalization.
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4.89
Again, no condition here, because I want to apply this to all rows.
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I'll hit Enter.
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1.11
And now if I SELECT [? star ?] FROM "collections" semicolon--
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oops, SELECT [? star ?] FROM "votes," in this case--
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no longer as collections table.
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I'll say SELECT [? star ?] FROM "votes" semicolon,
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I should see all of my titles capitalized.
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But now, I want to group by.
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So let's try this.
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I'll go up arrow to get back to my old query that GROUP BY "title," hit Enter.
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6.06
And now, we're still making some more progress.
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I'm reducing my number of groups until I get to 4.
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3.21
But there's still some typos, like we see Famers working at dawn,
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or Farmers working, or Farmesr working at dawn.
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We want these to be included as part of this group--
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Farmers working at dawn.
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So we should fix some of these typos here.
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Let me go back to my [? TERMINAL. ?] Now, let's try this out.
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I could, in this case, just manually correct these.
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You could imagine me doing something like this.
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UPDATE "votes" and SET the "title" equal to all caps
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"FARMERS WORKING AT DAWN," now including a condition, WHERE the "title"
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presently is equal to for "FAMERS WORKING" like this, semicolon--
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or not Famers work--
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I think it's Farmers Working, just all--
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in two words.
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That was one title we saw.
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[? TRANSCRIPT BREAK ?]
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SPEAKER: I could manually update it a bit like this.
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Let me hit Enter, and let me do the same query
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by hitting the up arrow on my keyboard.
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Let me find this one, hit Enter, and now we
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can see that that title, "Farmers Working,"
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is now just part of the main group.
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"Farmers Working At Dawn."
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I could keep going here.
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I could try to convert "Farmers Working At Dawn" to "Farmers Working At Dawn."
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Let me try it.
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I could say select.
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Let's say-- not select.
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Let me update.
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Let me update in this case votes, and set
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title equal to "Farmers Working At Dawn" where the title equals
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in this case "Farmers Working At Dawn."
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Semicolon, Enter, let me hit up arrow to go back to my old query to group by,
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and now we're getting somewhere.
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I'm seeing now only two groups for "Farmers Working At Dawn,"
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but one more to fix.
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Now we'd be here for a while if I spend all this time
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one by one fixing these typos, so there's probably a better way.
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There is.
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This one is going to be using the like keyword.
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We don't have to say equal so much.
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We can just say like.
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Now, I could try to match any title that looks like "Farmers Working At Dawn"
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and update it to be the correct title.
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So let's try that here.
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I could now try update votes and set title equal to "Farmers Working
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At Dawn."
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"Farmers Working At Dawn" where the title is like--
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the title is like some pattern I could give.
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Now for this data set, it turns out that the only artwork that begins with F-A
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is Farmers Working At Dawn.
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So to match any title with F-A and then anything afterwards,
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I could use F-A percent, and then close out that pattern.
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Notice how I don't have to have consistent capitalization.
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Like is case insensitive, and notice how, too, the percent matches
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anything that comes after F-A. Now in this data set, this is OK,
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but in a larger data set, you probably want to avoid this kind of query
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because you could match much more than Farmers Working At Dawn.
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You'd match anything that begins with F-A, so be careful with this
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and think through what pattern should you use to fix up your titles.
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Let me just hit Enter here, and now let me try hitting up arrow again
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to show you the result, and now we're in a pretty good place.
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I see all of my titles like Farmers Working At Dawn are correctly
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capitalized, consistently spelled, and all in one place.
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OK, let's try the others here.
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I also have "Imaginative landscape which could be a little bit
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better designed here.
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A little bit better grouped as well by fixing some of these typos.
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Well, here, I could try to match on to maybe imaginative.
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That seems like a long enough word that it could be useful for me here.
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So I'll say something like select--
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not select.
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0.51
I'll do update votes and set the title equal to "Imaginative Landscape."
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Now I want to match any rows that have a title like "Imaginative space
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percent," end quote, semicolon.
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Now I'll match any title that has imaginative as a full word
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at the very beginning of this phrase.
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This is, I would say, a better query than F-A
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