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These are the user uploaded subtitles that are being translated: 1 00:00:00,620 --> 00:00:00,880 All right. 2 00:00:00,890 --> 00:00:06,830 The time has come to officially add some true proper visualizations to this dashboard. 3 00:00:06,830 --> 00:00:09,230 Now remember there are a few ways to do it. 4 00:00:09,230 --> 00:00:16,640 No one from the home menu click new visual as you can see it's defaulted in this case to a stack column. 5 00:00:16,640 --> 00:00:17,760 That's not what I want. 6 00:00:17,780 --> 00:00:24,470 So a press delete instead of going with the Home Menu route I generally choose my visualizations straight 7 00:00:24,470 --> 00:00:26,390 from the visualizations pane. 8 00:00:26,420 --> 00:00:30,250 So in this case I'd like a stacked bar chart specifically. 9 00:00:30,250 --> 00:00:34,360 And when you click and select a Chart Template a few things happen. 10 00:00:34,610 --> 00:00:40,870 First you'll see that it drops a template or placeholder for that chart right there in your canvas. 11 00:00:40,880 --> 00:00:48,230 And second it populates these fields as well as formats that are specific to the chart type that you're 12 00:00:48,230 --> 00:00:49,280 using. 13 00:00:49,280 --> 00:00:51,860 So again this pain is dynamic. 14 00:00:51,860 --> 00:00:59,480 Right now it's telling me that a stacked bar chart can take in an axis a legend values color saturation 15 00:00:59,570 --> 00:01:01,130 and tool tips. 16 00:01:01,340 --> 00:01:07,550 But if we change this chart type to something else like a stacked area you'll see these values change 17 00:01:07,940 --> 00:01:10,400 or funnel or scatter. 18 00:01:10,400 --> 00:01:15,120 So these are all dynamic and they're all tied to this specific chart type. 19 00:01:15,170 --> 00:01:20,300 So let's jump back to our stack bar and start actually populating this. 20 00:01:20,330 --> 00:01:25,790 Remember we're always going to start here in fields because this tells power by what data we want to 21 00:01:25,790 --> 00:01:29,230 visualize and exactly how we want to visualize it. 22 00:01:29,240 --> 00:01:36,050 So what I'd like to visualize here is total orders that measure we created in our sales table. 23 00:01:36,050 --> 00:01:38,130 So let's go ahead and grab that measure. 24 00:01:38,450 --> 00:01:45,010 And the first option is to click hold and drag it into value drop it there. 25 00:01:45,130 --> 00:01:51,380 And as you can see it's populated the chart with a single series of values total orders with the grand 26 00:01:51,380 --> 00:01:51,770 total. 27 00:01:51,770 --> 00:01:53,340 Just one bar. 28 00:01:53,360 --> 00:01:58,630 Now remember that if you want to format a field you can do that here select total orders. 29 00:01:58,920 --> 00:02:05,010 Modeling this case let's add a comma to it and now as you hover over you'll see that the format has 30 00:02:05,010 --> 00:02:06,420 changed. 31 00:02:06,420 --> 00:02:10,700 So this is nice but not very helpful it just shows a single bar. 32 00:02:10,740 --> 00:02:16,920 So the idea here is that it will be helpful to break this data down and analyze the total orders in 33 00:02:16,920 --> 00:02:18,660 some interesting ways. 34 00:02:18,660 --> 00:02:24,190 And I know that adventure works is very interested in their subcategory level performance. 35 00:02:24,300 --> 00:02:31,500 So let's go ahead and break down this chart by product subcategory name and now remember how we clicked 36 00:02:31,530 --> 00:02:34,440 and dragged the values field. 37 00:02:34,530 --> 00:02:38,280 You can also try clicking the box and power b I will say OK. 38 00:02:38,310 --> 00:02:43,440 What's the most appropriate place where I can populate that field that you just checked. 39 00:02:43,620 --> 00:02:49,590 In this case it puts it on my axis of the bar chart which is actually exactly what I want. 40 00:02:49,620 --> 00:02:57,180 It breaks down my total orders and now I've got a field or a dimension for subcategory on each row and 41 00:02:57,180 --> 00:03:03,270 it's automatically defaulted to sorting descending tells me that tires and tubes is the highest order 42 00:03:03,270 --> 00:03:08,580 driving subcategory followed by road bikes helmets mountain bikes et cetera. 43 00:03:08,760 --> 00:03:14,850 But just to get a sense of what these other options could do what if we took subcategory name and instead 44 00:03:14,850 --> 00:03:18,600 of driving it to axis we dropped it on the legend. 45 00:03:18,660 --> 00:03:21,600 Well that completely changes the visual. 46 00:03:21,600 --> 00:03:29,340 And it basically shows the grand total segmented out with a different legend value for each of the subcategories. 47 00:03:29,520 --> 00:03:32,110 So not the proper chart type here. 48 00:03:32,220 --> 00:03:38,160 I mean it's kind of nice to look at but it's not very helpful so we're gonna take that legend drag it 49 00:03:38,160 --> 00:03:40,940 back to axis because that's what we want. 50 00:03:41,070 --> 00:03:42,380 Now we know what values do. 51 00:03:42,380 --> 00:03:46,280 Values is almost always where you're gonna pull your measures in. 52 00:03:46,300 --> 00:03:48,400 Now what about color saturation. 53 00:03:48,480 --> 00:03:50,480 If you're curious about what that does. 54 00:03:50,520 --> 00:03:55,430 Honestly the best way to learn this stuff is to just try it out and see how it looks. 55 00:03:55,470 --> 00:04:03,730 So let's grab our total revenue measure here drag it into color saturation and look at that the chart 56 00:04:03,730 --> 00:04:09,550 itself is still showing the same data but now as you hover over it's giving you an additional piece 57 00:04:09,550 --> 00:04:16,000 of information which is the actual revenue in addition to the orders and not only that but it's visualized 58 00:04:16,450 --> 00:04:22,800 in a subtle but very effective way the relative revenue of each of these subcategories. 59 00:04:23,050 --> 00:04:30,070 So they're still ordered by the order volume but now you see these darker blue lines represent the subcategories 60 00:04:30,100 --> 00:04:36,610 driving the most revenue in this case road bikes drove eleven point three million in revenue mountain 61 00:04:36,610 --> 00:04:45,250 bikes eight point six tarring bikes three point eight and then these lighter shades are smaller amounts. 62 00:04:45,250 --> 00:04:51,430 So that's color saturation which is a really nice way to add an additional level of data without making 63 00:04:51,430 --> 00:04:58,950 the chart overwhelmingly busy and now we also have this option called tool tips here and to show you 64 00:04:58,950 --> 00:04:59,850 what that does. 65 00:04:59,850 --> 00:05:06,840 Let's grab total profit and drag it into tool tips and you'll notice that nothing changes except the 66 00:05:06,840 --> 00:05:12,660 title now reflects total orders total revenue and total profit which is the tooltip field that we just 67 00:05:12,720 --> 00:05:13,730 added. 68 00:05:13,950 --> 00:05:20,700 Now all it does is add a third piece of information to this box that pops up when you hover over that's 69 00:05:20,700 --> 00:05:23,430 what power b I calls a tooltip. 70 00:05:23,490 --> 00:05:30,510 So now by simply hovering over and interacting with this chart I'm getting information about order volume 71 00:05:30,750 --> 00:05:36,570 about revenue and about profit broken down at the subcategory level. 72 00:05:36,600 --> 00:05:38,710 So very very little effort. 73 00:05:39,030 --> 00:05:44,570 And we've already created a lot of very interesting insight with one simple visual. 74 00:05:44,730 --> 00:05:47,190 And trust me it's only going to get better from here. 7960

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