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In this section, we're going to now start using our Power BI desktop to start creating our reports.
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So you saw in the previous section how we use the Power BI service just to create a simple table and
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we're going to be using the same example here just in the desktop, but then we're going to expand on
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that.
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We're going to show that there's a lot more functionality that we can use both in the desktop and in
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the Power BI service.
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Okay, So we're back in our report view.
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Remember, we got these three different views that we can use in our navigation.
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So I'm going to move across when we're going to start off by looking at our different fields.
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And you'll remember in the Power BI service we created a table.
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So remember the visualization we had was a table and we wanted to see all of the manufacturers and what
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was the total sales.
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So I'm going to start off by creating the same table.
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So I'm going to start by creating a table and we're going to pop it in the middle of our canvas.
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And you can see I've got my resizing handles.
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I can just make this bigger if I want to, or I can just pick this up and move it around.
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Very easy to use this.
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Okay.
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Now once we've got this, we can actually add our data in a few different ways.
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So what we could do is we could just actually select the manufacturer.
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So if I click on the tick box here, then you'll see automatically the list of manufacturers is automatically
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populated because the table was already selected.
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Another way I could do that and what I'm going to do here is I'm actually going to remove the manufacturer
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just from the columns because you can see it's now populated in here.
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So if I take this out another way, I could have done this was I could have dragged it and I could have
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actually dropped it into the columns.
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So if I drop it there, you'll see.
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Then the manufacturer now populates the table.
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Now, the third way, I could have done this, and again, I'm just going to remove this by clicking
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on the cross is I could have taken the manufacturer and I could have actually dropped it just straight
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into the visualization itself.
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So if I drop it in there and you'll see each of them give exactly the same result.
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So all three ways give me the same result, which is basically a list of all my manufacturers.
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So here's my fields.
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And you can see at the moment that we're just dropping everything into our columns.
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Now, depending on the visualization that you choose, you may get different options that will appear.
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But again, we'll deal with that later on in the course.
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So don't worry about that now.
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And the second thing we wanted to see was our sales.
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So let's say we selected our sales.
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So you see that I've got my sales amount over here.
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Click on it automatically.
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Now what it's done is it's added the sum of sales straight into the columns.
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And you can see my visualization now has that sum of sales.
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And this is basically what we did in our service just to create a simple table.
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However, what we might want to do here is something a little bit more sophisticated.
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We may want to make it look a little bit better.
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And one of the things you might want to do is actually to change this formatting.
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Now, at the moment I've got quite a large numbers, I've got millions, but I've got two decimal places.
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It makes it harder for people to read.
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If you actually go to your sales field and you click on it.
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You may remember earlier that we had these menu options and there's quite a lot of menu options at the
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top.
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And in traditional Microsoft Way, whenever you select a menu, you get the ribbon.
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Then that shows you a whole bunch of options that are underneath.
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Now, so far I've avoided the menu and the ribbons.
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There's a lot to go through.
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So I don't really want to just start off by going through each one individually.
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What I'll do is during the course where we need to use the different options will then access them.
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But here we've now got this new menu option that is called column tool.
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And what it does is it actually allows me to be able to format this sales field.
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So if I go across the left hand side, you can actually see that the actual field name can actually
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be changed.
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So if I wanted a different field name instead of sales, I want to call it something else.
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I could actually do that.
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It also tells me what is the data type in this case is a decimal number, so I'm happy with that.
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But now this is the part that I'm interested in.
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So as you've got my formatting, so you see that you get different formatting styles.
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So I could say that I want to see this as a currency, as a decimal number, as a whole number, percentage
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or scientific.
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At the moment we're going to keep it just as general.
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Then.
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Also though, over here I get my formatting styles that can be used as well, and you'll see that there's
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some currency that you can use.
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There's also a percentage, but the one I'm interested in is my 1000 separator.
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So when I click on the 1000 separator, what it does is it now formats this to a decimal number.
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Remember, as a general, now it's a decimal number and it's changed it to two decimal places.
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Now you'll see that nothing has changed in terms of what's been shown on the screen.
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But if I go now and I change the number of decimals, you'll see that that does change what's been shown
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on the screen.
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Now, what I've just done is I've actually changed the formatting for this sales value.
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Now that means wherever the sales value is going to be used in the future, it will actually use this
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formatting, which is 1000 separator and no decimal places.
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Now please remember this is just actually a default.
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You can go into this and override it.
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I'm going to show you in the next lesson that we can change the formatting.
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And one of the things you can do is actually change the number of decimals and the formatting that has
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been shown.
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But this is really useful as a default because you don't really want to be coming into this and changing
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it every time that you use it.
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So what I want to do now is just show a second example.
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Let's say, for example, we also wanted to see what is our total profit for each of the manufacturers.
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And again, we could use the same way, let's say, for example, actually just drag and drop the profit
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now, and I'm going to drop it into the visualization.
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Now you'll see that the total profit has been summed up.
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And again, this is telling you over here that it's actually got the sum of the profit that we are using.
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Again, though you'll see them are formatting is not great to my profit.
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Maybe I don't want all of those decimal places.
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So again, I can go to my profit, click on the profit and you'll see in my column tools.
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Now that this is now changed the formatting again, because now we are doing the formatting for the
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profit field.
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And again, I could go to my 1000 separator select that say I don't want any decimal places.
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And again, now you see that the profit is now been nicely formatted.
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So this makes it really easy just to be able to format your figures that you're working with.
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Now, once you've got a table of data, it's actually very easy to be able to create another table of
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data.
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You'll see that this is very free form.
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You can move these around as you want to in terms of placing them.
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So let's say, for example, we click over here and we now want to create a new table.
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So let's again go to our visualizations.
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Click on table.
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Get a new table.
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It's going to move it.
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And you will see that you get alignment guides and things like that that will actually help you with
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the formatting and setting up of your your report.
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Let's say in this case though, we want to use the product category.
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So I'm just going to select the product category and let's say we actually want to see the sales field
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on this.
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Now you'll see that the sales is automatically defaulted to not have any decimal places.
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So as I said, we've changed that default now, which is really quite useful.
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So as I say, it's quite easy to actually set up new tables and be able to put new tables into place.
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Now, there is another feature that I want to show you before we conclude the lesson, which is something
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called cross filtering.
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Now, this is really powerful within Power BI.
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You're going to find that filtering in itself with Power BI is actually very powerful.
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And what can happen is that when you've got two tables, you can use one table to achieve full to the
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other table.
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So let's say, for example, I just click on a datum here, so I click on that and you see now that
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this table is actually being filtered, only show the product categories that are for a datum.
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If I go across and I say Choose fabric, for example, now it's only showing the fabric and you can
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double check this because you'll see the total sales field here, what the total sales is and you can
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see the total sales here equals.
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So this is quite a powerful feature and it will also work the opposite way.
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Now, if you want to clear a filter, what you do is you just click the item again or you can just click
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in whitespace.
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Either one of those would work.
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Now, if you want to cross to say computers and you click on that, you'll now see that there's a list
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of all the manufacturers who produce the computers.
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Two cell phones.
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Same thing.
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So this is a behavior we're going to talk about later on in the course as well.
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We're going to look at it a bit more detail.
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It's just something to be aware of, especially if you select an item and you see that other tables
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are changing.
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Just to understand that this cross filtering behavior is at play.
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Okay.
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We're going to conclude the lesson there.
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I will see you in the next one.
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