All language subtitles for 15. Power BI Demo Adding Trend Lines & Forecasts

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These are the user uploaded subtitles that are being translated: 1 00:00:00,540 --> 00:00:06,720 So in the last lecture we've built out this line chart and this area chart or product detail page but 2 00:00:06,720 --> 00:00:09,020 I feel like our line chart is kind of sad. 3 00:00:09,210 --> 00:00:14,670 It's shown profit by week which is helpful but I think we can pack some more information in here. 4 00:00:14,970 --> 00:00:19,650 And one way to do that is to use the tool tips like we've practiced already. 5 00:00:20,040 --> 00:00:28,190 So let's go ahead and grab some important measures like revenue and orders or tool tips that way all 6 00:00:28,190 --> 00:00:34,610 three of those metrics are now visible at the weekly level without having to chart three separate series 7 00:00:34,970 --> 00:00:40,850 on the same graph which would certainly be feasible but not the best visuals since those metrics are 8 00:00:40,850 --> 00:00:42,910 on very very different scales. 9 00:00:42,920 --> 00:00:49,400 Instead what I want to do is explore a pain that we haven't touched yet which is this third option for 10 00:00:49,400 --> 00:00:50,540 analytics. 11 00:00:50,840 --> 00:00:57,330 Now this pain will only be accessible for certain visuals and for many these options will be quite limited. 12 00:00:57,500 --> 00:01:04,460 But the line chart is one type of visualization that has very rich very robust analytics options. 13 00:01:04,490 --> 00:01:08,580 So we're in a play with a couple of these here starting with the trend line. 14 00:01:08,600 --> 00:01:15,710 Now all we have to do is add a trend line and it essentially fits a line to our series over time to 15 00:01:15,710 --> 00:01:20,410 give you an overall kind of smooth out trend of where things are headed. 16 00:01:20,840 --> 00:01:27,860 So if I'm Adventure Works This is a great trend because I'm seeing profit on a nice upward slope over 17 00:01:27,860 --> 00:01:29,790 the last year and a half or so. 18 00:01:29,900 --> 00:01:34,010 Now like everything else the look and feel is completely customizable. 19 00:01:34,070 --> 00:01:37,190 This case that black line is pretty overpowering. 20 00:01:37,310 --> 00:01:41,490 It's going to pull that down to about 75 percent transparency. 21 00:01:41,490 --> 00:01:48,690 That's a little bit more subtle which I like you can change the style to solid or dotted or dasht. 22 00:01:48,830 --> 00:01:50,720 I think I actually prefer that dasht here. 23 00:01:50,930 --> 00:01:53,940 And then these default options will do just fine. 24 00:01:53,960 --> 00:01:56,550 These come into play if you're dealing with multiple series. 25 00:01:56,900 --> 00:01:58,430 So that's our trend line. 26 00:01:58,430 --> 00:01:59,690 Easy enough. 27 00:01:59,690 --> 00:02:06,800 We have very similar options for a constant line a min max an average median or percentile. 28 00:02:06,800 --> 00:02:12,920 All of these essentially add lines horizontal lines to our chart and they kind of speak for themselves. 29 00:02:12,920 --> 00:02:19,610 Constant allows you to define a value like 100000 for instance. 30 00:02:19,820 --> 00:02:26,620 And I told him you go a hundred thousand and plot that horizontal line on your chart. 31 00:02:26,960 --> 00:02:30,390 That's nice if you have like a fixed goal or something like that. 32 00:02:30,440 --> 00:02:36,410 You can also plot the minimum line which finds the smallest or lowest value in the window of time and 33 00:02:36,410 --> 00:02:40,380 applies a horizontal line based on that minimum. 34 00:02:40,440 --> 00:02:43,630 Same story holds for Max up at the top. 35 00:02:43,680 --> 00:02:47,990 Kind of gives you a good sense of the range of values that you're looking at over this period. 36 00:02:48,330 --> 00:02:50,180 And then average median percentile. 37 00:02:50,180 --> 00:02:52,290 They all work exactly the same way. 38 00:02:52,350 --> 00:02:57,030 I don't want really any of those we could add them but I feel like it's just going to make things a 39 00:02:57,030 --> 00:03:03,590 little bit too busy in this case especially because I want to play with one more tool which is the forecast 40 00:03:03,600 --> 00:03:09,000 down here at the bottom and this is how we're going to address that question for Adventure Works about 41 00:03:09,010 --> 00:03:15,930 how is my profit expected or anticipated to look for the next X weeks or periods or months. 42 00:03:15,930 --> 00:03:20,750 So Part II makes it very user friendly to create forecast views like that. 43 00:03:20,820 --> 00:03:29,070 Now we're going to do is add a forecast by default created a forecast of 10 points and points are basically 44 00:03:29,670 --> 00:03:30,550 date fields. 45 00:03:30,660 --> 00:03:34,830 And what point is the default unit of date that you're looking at. 46 00:03:35,010 --> 00:03:39,900 So in this case it's 10 weeks out and if you want to get totally wacky you could do something like you 47 00:03:39,900 --> 00:03:42,360 know show me a forecast for 10 years. 48 00:03:42,750 --> 00:03:48,900 And it's it's very ridiculous because you very quickly lose confidence in what your profits are going 49 00:03:48,900 --> 00:03:50,460 to look like 10 years out. 50 00:03:50,460 --> 00:03:55,730 So I would not recommend that and I don't think our clients would appreciate that much either. 51 00:03:55,980 --> 00:04:02,520 So let's stick with weeks and let's actually narrow it down a bit to a six week forecast. 52 00:04:02,520 --> 00:04:09,120 Now you do have an option to ignore previous points like if this drop if we know this was an outlier 53 00:04:09,210 --> 00:04:12,640 or an anomaly we could ignore that one point. 54 00:04:12,840 --> 00:04:17,170 I kind of feel like that's sweeping things under the rug so let's keep that at zero. 55 00:04:17,590 --> 00:04:19,780 And we'll keep the true forecast here. 56 00:04:19,860 --> 00:04:22,700 Now confidence interval this is an interesting one. 57 00:04:22,830 --> 00:04:28,590 And this basically defines at what level of confidence do we think the true values are going to fall 58 00:04:28,590 --> 00:04:30,540 into the shaded range. 59 00:04:30,540 --> 00:04:33,630 So at 95 percent that's pretty darn confident. 60 00:04:33,630 --> 00:04:37,880 Which is why you see a pretty broad or pretty wide range here. 61 00:04:38,010 --> 00:04:46,140 If we drop this down to 75 and apply see that it shrinks down quite a bit and that's because we're trying 62 00:04:46,140 --> 00:04:48,020 to hit a tighter target. 63 00:04:48,060 --> 00:04:53,730 So naturally we're less confident that the numbers will actually fall into this narrower range. 64 00:04:53,730 --> 00:04:57,500 So best practice is generally to use 90 or 95. 65 00:04:57,810 --> 00:05:01,790 Let's go with 90 for our purposes there we go. 66 00:05:02,090 --> 00:05:09,290 And you can also apply a seasonality factor like if you know that mid June or July profits tend to dip 67 00:05:09,470 --> 00:05:10,590 over the summer. 68 00:05:10,790 --> 00:05:14,520 Then you can kind of manually tweak that forecast window yourself. 69 00:05:14,570 --> 00:05:15,350 So there you go. 70 00:05:15,350 --> 00:05:17,130 That's our forecast. 71 00:05:17,240 --> 00:05:18,450 I'm happy with that. 72 00:05:18,470 --> 00:05:24,980 Feel free to adjust the settings kind of customize or personalize it as you see fit but for our purposes 73 00:05:25,190 --> 00:05:30,500 I think that does a nice job it adds some good insight about the overall trend of profit and what we 74 00:05:30,500 --> 00:05:35,360 might expect to see for future profits over the course of the next six weeks. 7938

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