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These are the user uploaded subtitles that are being translated: 1 00:00:05,310 --> 00:00:05,910 In this lesson. 2 00:00:05,910 --> 00:00:08,440 I just want to continue the case study that we're looking at. 3 00:00:08,460 --> 00:00:13,530 So in this lesson, we're going to look at how we uploaded the data into the power by service. 4 00:00:13,530 --> 00:00:16,560 And then from the power by service, we created an embed code. 5 00:00:16,560 --> 00:00:19,260 Embed code that was was then put into a website. 6 00:00:19,260 --> 00:00:24,020 And we're just going to have a brief look at the website to see that the power report in there. 7 00:00:24,030 --> 00:00:26,640 So as you can see, I'm in my Power BI service at the moment. 8 00:00:26,640 --> 00:00:32,430 If I go to my workspaces you'll see that I did create a workspace just for the coronavirus in analysis. 9 00:00:32,670 --> 00:00:36,420 If I click on that and you'll see that there's a couple of reports that I've created, but I'm going 10 00:00:36,420 --> 00:00:39,870 to focus on the Global Report, which is the one we saw in the previous lesson. 11 00:00:40,700 --> 00:00:45,230 And when you open that, you will now see that you've got the view that we just had in the pub by our 12 00:00:45,230 --> 00:00:45,680 desktop. 13 00:00:45,680 --> 00:00:49,250 But obviously this has been now uploaded into the pub by our service. 14 00:00:49,400 --> 00:00:52,820 So the first part that we needed to do was create an embed code. 15 00:00:52,970 --> 00:00:56,030 So when we get down to this, you'll see that you can embed code. 16 00:00:56,030 --> 00:00:58,840 And the option that I use was to publish to the web. 17 00:00:58,850 --> 00:01:00,740 We're going to use a public website for this. 18 00:01:00,740 --> 00:01:04,420 So I clicked on this and you can see now it created an embed code. 19 00:01:04,430 --> 00:01:08,360 All I had to do was really copy this and then paste it into the website. 20 00:01:08,570 --> 00:01:12,780 And as you can see, you can change your preview size as your placeholder image if you want. 21 00:01:12,800 --> 00:01:16,750 And over here, it's got a preview of what the presentation of the report would look like. 22 00:01:16,760 --> 00:01:21,170 And it's such a pretty good it really does do a great job at putting your report together. 23 00:01:21,750 --> 00:01:21,930 Okay. 24 00:01:21,950 --> 00:01:26,390 So the next part that we're going to look at is what does this look like on the actual website itself? 25 00:01:26,390 --> 00:01:30,800 So I'm going to close this and we're going to now open up the website and we're going to see what it 26 00:01:30,800 --> 00:01:31,490 looks like. 27 00:01:31,940 --> 00:01:34,520 So here's the actual website that we've got now. 28 00:01:34,520 --> 00:01:37,130 You can increase the size of this report. 29 00:01:37,130 --> 00:01:40,250 So if you go in here, you can open this in full screen mode. 30 00:01:40,250 --> 00:01:44,480 The problem is, if I open this in full screen mode, it's going to go outside the boundaries of the 31 00:01:44,480 --> 00:01:45,290 video capture. 32 00:01:45,290 --> 00:01:46,400 So I'm not going to do that. 33 00:01:46,400 --> 00:01:50,720 So unfortunately, I'm going to try and just use some of these features that we've got. 34 00:01:50,720 --> 00:01:55,610 Just if I wanted to use the slicer, it looks really, really small and obviously is really, really 35 00:01:55,610 --> 00:01:56,030 small. 36 00:01:56,030 --> 00:01:58,130 But you can see that the slicer works there. 37 00:01:58,280 --> 00:02:01,100 We can clear the slicer also. 38 00:02:01,100 --> 00:02:03,520 You could pick just a specific country. 39 00:02:03,530 --> 00:02:04,850 So if we can pick one. 40 00:02:05,780 --> 00:02:10,280 And then once Australia and you can see again filters the data again. 41 00:02:11,160 --> 00:02:17,220 So basically all the filters and all the slices work on the actual website itself. 42 00:02:17,250 --> 00:02:21,180 As I say, though, if somebody was working with this, they could easily increase the size of the zoom 43 00:02:21,210 --> 00:02:22,980 and we can get the zoom a little bit bigger. 44 00:02:23,010 --> 00:02:23,580 There we go. 45 00:02:23,580 --> 00:02:26,280 We can zoom in a little bit and actually zoom onto that. 46 00:02:26,280 --> 00:02:31,290 But as I say, most people would use the full screen here and then have the ability to work with that 47 00:02:31,380 --> 00:02:32,340 if we move down. 48 00:02:32,340 --> 00:02:34,770 This was just another report that I did do. 49 00:02:34,770 --> 00:02:39,090 And if you have the time and you want to look at this, you can come in here. 50 00:02:39,090 --> 00:02:45,300 And basically what it's doing is we just took some calculations where we wanted to see how it was spreading 51 00:02:45,570 --> 00:02:47,910 in comparison to the population of the country. 52 00:02:47,910 --> 00:02:49,230 So we took the population. 53 00:02:49,230 --> 00:02:54,150 We started to look at the cases per 100,000 deaths per 100,000, just so that we could have more of 54 00:02:54,150 --> 00:02:55,740 an apples to apples comparison. 55 00:02:55,740 --> 00:03:00,270 Because if you just took the total amount of cases, obviously countries that have large populations 56 00:03:00,270 --> 00:03:01,680 would tend to come up first. 57 00:03:01,680 --> 00:03:06,690 Whereas if you're looking at the number of cases per 100,000 or deaths per 100,000, you get a better 58 00:03:06,690 --> 00:03:09,480 way of being able to understand what was happening with the countries. 59 00:03:09,690 --> 00:03:15,450 Also, what I did with this report was I created a couple more calculations that did a trailing 14 day 60 00:03:15,450 --> 00:03:18,570 calculation to say what's happened over the last 14 days. 61 00:03:18,570 --> 00:03:21,690 And the idea behind this was to see is something accelerating? 62 00:03:21,690 --> 00:03:24,210 Is it getting bigger or was it declining? 63 00:03:24,210 --> 00:03:25,080 Was it running down? 64 00:03:25,080 --> 00:03:31,110 So just get you an idea of where the virus, for example, is growing in the last 14 days or the last 65 00:03:31,110 --> 00:03:31,620 two weeks? 66 00:03:31,890 --> 00:03:34,740 But again, this is something that you can have a play with, have a look at. 67 00:03:34,740 --> 00:03:37,260 As I say, the links are in the actual course. 68 00:03:37,650 --> 00:03:38,970 We're going to conclude the lesson there. 69 00:03:38,970 --> 00:03:40,110 I will see you in the next one. 6821

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