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These are the user uploaded subtitles that are being translated: 1 00:00:05,360 --> 00:00:10,350 In this section, we're going to now start using our Power BI desktop to start creating our reports. 2 00:00:10,370 --> 00:00:15,650 So you saw in the previous section how we use the Power BI service just to create a simple table and 3 00:00:15,650 --> 00:00:19,910 we're going to be using the same example here just in the desktop, but then we're going to expand on 4 00:00:19,910 --> 00:00:20,030 that. 5 00:00:20,030 --> 00:00:23,840 We're going to show that there's a lot more functionality that we can use both in the desktop and in 6 00:00:23,840 --> 00:00:25,160 the Power BI service. 7 00:00:25,460 --> 00:00:27,110 Okay, So we're back in our report view. 8 00:00:27,110 --> 00:00:30,860 Remember, we got these three different views that we can use in our navigation. 9 00:00:30,980 --> 00:00:34,910 So I'm going to move across when we're going to start off by looking at our different fields. 10 00:00:34,910 --> 00:00:38,000 And you'll remember in the Power BI service we created a table. 11 00:00:38,000 --> 00:00:43,070 So remember the visualization we had was a table and we wanted to see all of the manufacturers and what 12 00:00:43,070 --> 00:00:44,240 was the total sales. 13 00:00:44,240 --> 00:00:46,340 So I'm going to start off by creating the same table. 14 00:00:46,340 --> 00:00:51,290 So I'm going to start by creating a table and we're going to pop it in the middle of our canvas. 15 00:00:51,290 --> 00:00:53,330 And you can see I've got my resizing handles. 16 00:00:53,330 --> 00:00:57,290 I can just make this bigger if I want to, or I can just pick this up and move it around. 17 00:00:57,320 --> 00:00:58,970 Very easy to use this. 18 00:00:59,450 --> 00:00:59,750 Okay. 19 00:00:59,750 --> 00:01:04,400 Now once we've got this, we can actually add our data in a few different ways. 20 00:01:04,400 --> 00:01:07,520 So what we could do is we could just actually select the manufacturer. 21 00:01:07,520 --> 00:01:12,770 So if I click on the tick box here, then you'll see automatically the list of manufacturers is automatically 22 00:01:12,770 --> 00:01:15,950 populated because the table was already selected. 23 00:01:16,610 --> 00:01:20,900 Another way I could do that and what I'm going to do here is I'm actually going to remove the manufacturer 24 00:01:20,900 --> 00:01:24,200 just from the columns because you can see it's now populated in here. 25 00:01:24,200 --> 00:01:28,730 So if I take this out another way, I could have done this was I could have dragged it and I could have 26 00:01:28,730 --> 00:01:30,680 actually dropped it into the columns. 27 00:01:30,680 --> 00:01:32,360 So if I drop it there, you'll see. 28 00:01:32,360 --> 00:01:35,120 Then the manufacturer now populates the table. 29 00:01:35,690 --> 00:01:38,840 Now, the third way, I could have done this, and again, I'm just going to remove this by clicking 30 00:01:38,840 --> 00:01:43,250 on the cross is I could have taken the manufacturer and I could have actually dropped it just straight 31 00:01:43,250 --> 00:01:44,960 into the visualization itself. 32 00:01:45,470 --> 00:01:49,100 So if I drop it in there and you'll see each of them give exactly the same result. 33 00:01:49,100 --> 00:01:54,080 So all three ways give me the same result, which is basically a list of all my manufacturers. 34 00:01:54,790 --> 00:01:56,230 So here's my fields. 35 00:01:56,230 --> 00:01:59,660 And you can see at the moment that we're just dropping everything into our columns. 36 00:01:59,680 --> 00:02:04,500 Now, depending on the visualization that you choose, you may get different options that will appear. 37 00:02:04,510 --> 00:02:06,730 But again, we'll deal with that later on in the course. 38 00:02:06,730 --> 00:02:08,169 So don't worry about that now. 39 00:02:08,530 --> 00:02:11,009 And the second thing we wanted to see was our sales. 40 00:02:11,020 --> 00:02:12,830 So let's say we selected our sales. 41 00:02:12,850 --> 00:02:15,180 So you see that I've got my sales amount over here. 42 00:02:15,190 --> 00:02:16,900 Click on it automatically. 43 00:02:16,900 --> 00:02:20,890 Now what it's done is it's added the sum of sales straight into the columns. 44 00:02:20,890 --> 00:02:24,190 And you can see my visualization now has that sum of sales. 45 00:02:24,190 --> 00:02:28,390 And this is basically what we did in our service just to create a simple table. 46 00:02:28,480 --> 00:02:32,650 However, what we might want to do here is something a little bit more sophisticated. 47 00:02:32,650 --> 00:02:35,110 We may want to make it look a little bit better. 48 00:02:35,200 --> 00:02:39,600 And one of the things you might want to do is actually to change this formatting. 49 00:02:39,610 --> 00:02:43,960 Now, at the moment I've got quite a large numbers, I've got millions, but I've got two decimal places. 50 00:02:43,990 --> 00:02:45,520 It makes it harder for people to read. 51 00:02:45,850 --> 00:02:49,660 If you actually go to your sales field and you click on it. 52 00:02:49,660 --> 00:02:55,060 You may remember earlier that we had these menu options and there's quite a lot of menu options at the 53 00:02:55,060 --> 00:02:55,630 top. 54 00:02:55,630 --> 00:03:00,220 And in traditional Microsoft Way, whenever you select a menu, you get the ribbon. 55 00:03:00,220 --> 00:03:03,010 Then that shows you a whole bunch of options that are underneath. 56 00:03:03,050 --> 00:03:05,350 Now, so far I've avoided the menu and the ribbons. 57 00:03:05,350 --> 00:03:06,670 There's a lot to go through. 58 00:03:06,670 --> 00:03:10,200 So I don't really want to just start off by going through each one individually. 59 00:03:10,210 --> 00:03:14,460 What I'll do is during the course where we need to use the different options will then access them. 60 00:03:14,470 --> 00:03:18,790 But here we've now got this new menu option that is called column tool. 61 00:03:18,940 --> 00:03:23,560 And what it does is it actually allows me to be able to format this sales field. 62 00:03:23,950 --> 00:03:28,930 So if I go across the left hand side, you can actually see that the actual field name can actually 63 00:03:28,930 --> 00:03:29,650 be changed. 64 00:03:29,650 --> 00:03:33,220 So if I wanted a different field name instead of sales, I want to call it something else. 65 00:03:33,220 --> 00:03:34,360 I could actually do that. 66 00:03:34,720 --> 00:03:39,340 It also tells me what is the data type in this case is a decimal number, so I'm happy with that. 67 00:03:39,730 --> 00:03:41,770 But now this is the part that I'm interested in. 68 00:03:41,800 --> 00:03:46,180 So as you've got my formatting, so you see that you get different formatting styles. 69 00:03:46,180 --> 00:03:50,440 So I could say that I want to see this as a currency, as a decimal number, as a whole number, percentage 70 00:03:50,440 --> 00:03:51,400 or scientific. 71 00:03:51,760 --> 00:03:53,740 At the moment we're going to keep it just as general. 72 00:03:54,630 --> 00:03:54,960 Then. 73 00:03:54,960 --> 00:03:59,790 Also though, over here I get my formatting styles that can be used as well, and you'll see that there's 74 00:03:59,790 --> 00:04:01,680 some currency that you can use. 75 00:04:01,830 --> 00:04:06,300 There's also a percentage, but the one I'm interested in is my 1000 separator. 76 00:04:06,480 --> 00:04:11,370 So when I click on the 1000 separator, what it does is it now formats this to a decimal number. 77 00:04:11,370 --> 00:04:16,649 Remember, as a general, now it's a decimal number and it's changed it to two decimal places. 78 00:04:16,680 --> 00:04:20,579 Now you'll see that nothing has changed in terms of what's been shown on the screen. 79 00:04:20,579 --> 00:04:26,370 But if I go now and I change the number of decimals, you'll see that that does change what's been shown 80 00:04:26,370 --> 00:04:27,210 on the screen. 81 00:04:27,240 --> 00:04:32,550 Now, what I've just done is I've actually changed the formatting for this sales value. 82 00:04:32,730 --> 00:04:38,070 Now that means wherever the sales value is going to be used in the future, it will actually use this 83 00:04:38,070 --> 00:04:41,910 formatting, which is 1000 separator and no decimal places. 84 00:04:41,940 --> 00:04:44,770 Now please remember this is just actually a default. 85 00:04:44,790 --> 00:04:47,000 You can go into this and override it. 86 00:04:47,010 --> 00:04:49,830 I'm going to show you in the next lesson that we can change the formatting. 87 00:04:49,860 --> 00:04:53,820 And one of the things you can do is actually change the number of decimals and the formatting that has 88 00:04:53,820 --> 00:04:54,450 been shown. 89 00:04:54,450 --> 00:04:59,310 But this is really useful as a default because you don't really want to be coming into this and changing 90 00:04:59,310 --> 00:05:01,110 it every time that you use it. 91 00:05:01,320 --> 00:05:04,470 So what I want to do now is just show a second example. 92 00:05:04,470 --> 00:05:10,020 Let's say, for example, we also wanted to see what is our total profit for each of the manufacturers. 93 00:05:10,260 --> 00:05:14,310 And again, we could use the same way, let's say, for example, actually just drag and drop the profit 94 00:05:14,310 --> 00:05:17,260 now, and I'm going to drop it into the visualization. 95 00:05:17,280 --> 00:05:20,660 Now you'll see that the total profit has been summed up. 96 00:05:20,670 --> 00:05:25,320 And again, this is telling you over here that it's actually got the sum of the profit that we are using. 97 00:05:25,680 --> 00:05:28,590 Again, though you'll see them are formatting is not great to my profit. 98 00:05:28,590 --> 00:05:31,650 Maybe I don't want all of those decimal places. 99 00:05:31,650 --> 00:05:36,240 So again, I can go to my profit, click on the profit and you'll see in my column tools. 100 00:05:36,240 --> 00:05:41,010 Now that this is now changed the formatting again, because now we are doing the formatting for the 101 00:05:41,010 --> 00:05:41,940 profit field. 102 00:05:42,210 --> 00:05:48,180 And again, I could go to my 1000 separator select that say I don't want any decimal places. 103 00:05:48,420 --> 00:05:52,620 And again, now you see that the profit is now been nicely formatted. 104 00:05:53,160 --> 00:05:57,930 So this makes it really easy just to be able to format your figures that you're working with. 105 00:05:58,710 --> 00:06:02,820 Now, once you've got a table of data, it's actually very easy to be able to create another table of 106 00:06:02,820 --> 00:06:03,150 data. 107 00:06:03,180 --> 00:06:04,740 You'll see that this is very free form. 108 00:06:04,740 --> 00:06:08,820 You can move these around as you want to in terms of placing them. 109 00:06:09,210 --> 00:06:14,010 So let's say, for example, we click over here and we now want to create a new table. 110 00:06:14,280 --> 00:06:17,100 So let's again go to our visualizations. 111 00:06:17,100 --> 00:06:18,120 Click on table. 112 00:06:18,210 --> 00:06:19,380 Get a new table. 113 00:06:19,390 --> 00:06:20,350 It's going to move it. 114 00:06:20,370 --> 00:06:24,450 And you will see that you get alignment guides and things like that that will actually help you with 115 00:06:24,450 --> 00:06:27,660 the formatting and setting up of your your report. 116 00:06:27,810 --> 00:06:30,370 Let's say in this case though, we want to use the product category. 117 00:06:30,390 --> 00:06:34,890 So I'm just going to select the product category and let's say we actually want to see the sales field 118 00:06:34,890 --> 00:06:35,550 on this. 119 00:06:35,880 --> 00:06:41,670 Now you'll see that the sales is automatically defaulted to not have any decimal places. 120 00:06:41,670 --> 00:06:45,480 So as I said, we've changed that default now, which is really quite useful. 121 00:06:46,110 --> 00:06:51,570 So as I say, it's quite easy to actually set up new tables and be able to put new tables into place. 122 00:06:51,660 --> 00:06:56,250 Now, there is another feature that I want to show you before we conclude the lesson, which is something 123 00:06:56,250 --> 00:06:57,780 called cross filtering. 124 00:06:57,810 --> 00:06:59,850 Now, this is really powerful within Power BI. 125 00:06:59,880 --> 00:07:04,230 You're going to find that filtering in itself with Power BI is actually very powerful. 126 00:07:04,380 --> 00:07:09,420 And what can happen is that when you've got two tables, you can use one table to achieve full to the 127 00:07:09,420 --> 00:07:10,260 other table. 128 00:07:10,380 --> 00:07:15,540 So let's say, for example, I just click on a datum here, so I click on that and you see now that 129 00:07:15,540 --> 00:07:21,840 this table is actually being filtered, only show the product categories that are for a datum. 130 00:07:21,930 --> 00:07:27,120 If I go across and I say Choose fabric, for example, now it's only showing the fabric and you can 131 00:07:27,120 --> 00:07:31,650 double check this because you'll see the total sales field here, what the total sales is and you can 132 00:07:31,650 --> 00:07:33,570 see the total sales here equals. 133 00:07:34,790 --> 00:07:38,810 So this is quite a powerful feature and it will also work the opposite way. 134 00:07:38,840 --> 00:07:43,580 Now, if you want to clear a filter, what you do is you just click the item again or you can just click 135 00:07:43,580 --> 00:07:44,610 in whitespace. 136 00:07:44,630 --> 00:07:46,070 Either one of those would work. 137 00:07:46,280 --> 00:07:50,480 Now, if you want to cross to say computers and you click on that, you'll now see that there's a list 138 00:07:50,480 --> 00:07:53,810 of all the manufacturers who produce the computers. 139 00:07:53,810 --> 00:07:55,100 Two cell phones. 140 00:07:55,220 --> 00:07:56,180 Same thing. 141 00:07:57,600 --> 00:08:00,750 So this is a behavior we're going to talk about later on in the course as well. 142 00:08:00,750 --> 00:08:02,430 We're going to look at it a bit more detail. 143 00:08:02,460 --> 00:08:06,900 It's just something to be aware of, especially if you select an item and you see that other tables 144 00:08:06,900 --> 00:08:07,500 are changing. 145 00:08:07,500 --> 00:08:11,010 Just to understand that this cross filtering behavior is at play. 146 00:08:11,430 --> 00:08:11,640 Okay. 147 00:08:11,640 --> 00:08:13,060 We're going to conclude the lesson there. 148 00:08:13,090 --> 00:08:14,220 I will see you in the next one. 15241

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