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These are the user uploaded subtitles that are being translated: 1 00:00:05,550 --> 00:00:07,980 In this lesson, we're going to be looking at area graphs. 2 00:00:08,010 --> 00:00:12,840 Now, area graphs are very similar to the line graph, except that we're going to actually color the 3 00:00:12,840 --> 00:00:18,390 area in that is underneath the line, and that can be useful for your own versions of data analysis. 4 00:00:18,390 --> 00:00:21,180 But normally what we would use them for is trend analysis. 5 00:00:21,180 --> 00:00:26,940 So again, we should be looking at using a date or a time within the x axis and seeing how things change 6 00:00:26,940 --> 00:00:27,660 over time. 7 00:00:28,140 --> 00:00:32,220 I'm going to delete this existing line graph and let's create a new one. 8 00:00:32,220 --> 00:00:37,080 And if we move across in our visualization, you'll see that the next visualization is our area chart. 9 00:00:37,080 --> 00:00:38,250 So let's click on that. 10 00:00:38,580 --> 00:00:40,200 So we're going to start with that. 11 00:00:40,200 --> 00:00:43,380 And again, we're going to do the same things that we did previously. 12 00:00:43,380 --> 00:00:45,780 We're going to start with all the data in our x axis. 13 00:00:45,930 --> 00:00:50,220 We're going to start with our sales in our Y axis, and you're going to see that this works very, very 14 00:00:50,220 --> 00:00:50,760 similarly. 15 00:00:50,760 --> 00:00:55,800 So again, I'm going to drill this up and we could drill it right up to the sum of cells by year. 16 00:00:56,010 --> 00:01:01,350 Again, if I drill this down again and I'll just expand it, we get our sales by year end quarter and 17 00:01:01,350 --> 00:01:04,170 then again we get now our sales by year, quarter and month. 18 00:01:04,170 --> 00:01:05,790 So this is basically our monthly view. 19 00:01:05,790 --> 00:01:09,000 This is the one that we would just looking at on our line graph. 20 00:01:09,000 --> 00:01:11,310 So as I say, you're going to see that this is very similar. 21 00:01:11,430 --> 00:01:16,460 Now, again, if we look at our wells, you'll see that we do get the ability to use a secondary y axis. 22 00:01:16,470 --> 00:01:20,460 Now we covered that in the previous lesson, so I'll leave that for you to experiment with. 23 00:01:20,550 --> 00:01:24,510 But I just quickly want to show what happens if we work with a legend, What happens if we work with 24 00:01:24,510 --> 00:01:25,650 the small multiples? 25 00:01:25,650 --> 00:01:27,090 So let's use our region again. 26 00:01:27,090 --> 00:01:28,140 It's not too many. 27 00:01:28,140 --> 00:01:29,130 There's only three regions. 28 00:01:29,130 --> 00:01:30,840 So we drop that into our legend. 29 00:01:31,110 --> 00:01:35,370 And what you're going to see is that the data now really sort of goes on top of each other. 30 00:01:35,400 --> 00:01:38,730 Now, in my opinion, this is not that easy to actually read. 31 00:01:38,730 --> 00:01:42,120 So what we're going to be doing just now in the lesson is we're going to be looking at a stacked area 32 00:01:42,120 --> 00:01:45,300 graph, which I think then deals with this a lot better. 33 00:01:45,300 --> 00:01:49,890 So if you're working with a legend, I think then you should actually be working with a stacked area 34 00:01:49,890 --> 00:01:51,780 graph, not the normal area graph. 35 00:01:51,870 --> 00:01:56,190 But as I said, we're going to look at that a little bit later in the in the lesson. 36 00:01:56,490 --> 00:01:57,660 Let's move this down a bit. 37 00:01:57,660 --> 00:02:02,190 Just look at our small multiples so this can be quite useful, especially when you want to be looking 38 00:02:02,190 --> 00:02:03,630 at your trends over time. 39 00:02:03,630 --> 00:02:09,389 And you can see you get a nice little area graph now showing you what the genuine trends are over time. 40 00:02:09,690 --> 00:02:09,900 Okay. 41 00:02:09,930 --> 00:02:13,200 So those are a couple of views that we saw in the previous lesson. 42 00:02:13,200 --> 00:02:18,030 Let's just have a look at our formatting and you're going to see that this is very, very similar to 43 00:02:18,030 --> 00:02:20,730 what we had with the with the previous one. 44 00:02:20,970 --> 00:02:23,880 I'm actually just going to change this so we don't have the small multiples. 45 00:02:23,880 --> 00:02:25,230 Let's just remove that. 46 00:02:25,830 --> 00:02:27,420 Let's go back to our formatting. 47 00:02:27,420 --> 00:02:32,490 So your x axis, as you can see, those options are pretty much the same as the line graph. 48 00:02:32,490 --> 00:02:35,940 You can see that the also for the y axis, the same type of thing. 49 00:02:36,060 --> 00:02:39,900 And as you go down you to grid lines, you'll zoom slider lines again. 50 00:02:39,900 --> 00:02:45,090 So if you want to change the type of line you're using, your stroke on the line, as you can see, 51 00:02:45,090 --> 00:02:48,060 sort of works very much the same as our line graph. 52 00:02:48,060 --> 00:02:50,490 And again, you do have a step option with this as well. 53 00:02:50,880 --> 00:02:55,050 So you go to your steps, you can change your colors as well, but you will see that there is an ability 54 00:02:55,050 --> 00:02:58,350 to change the shade area, which is obviously a bit different to the line graph. 55 00:02:58,530 --> 00:03:00,750 Again, you do have the ability to set your markers. 56 00:03:00,750 --> 00:03:06,330 So if you want to put markers on here, the type of markers and the size colors are those as well and 57 00:03:06,330 --> 00:03:07,830 also to use your data labels. 58 00:03:07,830 --> 00:03:10,140 So if you turn those on can see that. 59 00:03:10,140 --> 00:03:14,730 And again, we do get the option to be able to do label density like we could with the line graph. 60 00:03:14,970 --> 00:03:16,650 So again, quite useful. 61 00:03:16,920 --> 00:03:21,410 So as you can see that it's very much similar to what you had with the line graph. 62 00:03:21,420 --> 00:03:26,520 So really when it comes to the area graph, there is a lot of similarities to the line graph and it's 63 00:03:26,520 --> 00:03:30,060 really going to be up to you as to which one you prefer working with. 64 00:03:30,090 --> 00:03:32,340 You want the line graph or do you want the area graph. 65 00:03:32,430 --> 00:03:37,230 However, one of the things I do want to point out is that there is a little bit of a difference here 66 00:03:37,230 --> 00:03:42,240 with the analytic side, so you can get a trend line on your area graph. 67 00:03:42,540 --> 00:03:46,080 However, you will see that there is no forecasting option. 68 00:03:46,290 --> 00:03:52,320 So if you want to include forecasting then you must use the line graph and please make sure with forecasting 69 00:03:52,320 --> 00:03:55,500 as well, you have to be using a data field for the full costing. 70 00:03:55,680 --> 00:04:01,290 So that's just something to take into account is that if you want to use forecasting, then please make 71 00:04:01,290 --> 00:04:02,820 sure you use the line graph. 72 00:04:03,060 --> 00:04:06,840 However, as I said, the area graph can be really quite nice to see. 73 00:04:07,200 --> 00:04:11,280 So one of the things that you can do with your with your area graph that we just spoke about is the 74 00:04:11,280 --> 00:04:13,350 ability to create a stacked area graph. 75 00:04:13,350 --> 00:04:14,550 So let's have a look at that. 76 00:04:14,820 --> 00:04:20,310 Let's go back to having our legend and as I just noted with our legend, kind of our values are on top 77 00:04:20,310 --> 00:04:21,029 of each other here. 78 00:04:21,029 --> 00:04:24,120 It's not really easy to see what is actually happening Now. 79 00:04:24,120 --> 00:04:29,060 If we move across, you'll see that we have the stacked area chart as the next visualization. 80 00:04:29,280 --> 00:04:34,590 Now, if I change this, you can see immediately that this is actually much easier to read. 81 00:04:34,680 --> 00:04:40,020 So what you can do now is that you can actually easily see what is happening with Asia, what's happening 82 00:04:40,020 --> 00:04:42,300 with Europe and what is happening with North America. 83 00:04:42,300 --> 00:04:45,270 And how do these trends change over time. 84 00:04:45,810 --> 00:04:51,450 Because basically, if you've got a large gap over here, but a small gap over here, then quite clearly 85 00:04:51,450 --> 00:04:53,880 you can see that something that was quite large has changed. 86 00:04:54,330 --> 00:04:56,460 So I am quite a fan of this graph. 87 00:04:56,460 --> 00:05:00,600 It does give you the ability to be able to analyze your trends quite well by just looking at the. 88 00:05:01,050 --> 00:05:03,690 Of the data and how they change. 89 00:05:04,230 --> 00:05:06,250 So that's just something to take into account. 90 00:05:06,270 --> 00:05:11,790 But as you can see, the graph very similar to the line graph in terms of the options and the abilities 91 00:05:11,790 --> 00:05:12,650 that you get. 92 00:05:12,660 --> 00:05:18,390 And also if you are working with a legend, I would suggest that you use a spectrograph. 93 00:05:18,510 --> 00:05:23,280 However, with the stacked area graph, please be aware that you've got even less in terms of the analytics. 94 00:05:23,280 --> 00:05:27,720 So basically it just gives you a constant line for your X and y axis. 95 00:05:27,990 --> 00:05:32,190 It does not give you a lot of the number of the other functions that you can get with the other two 96 00:05:32,190 --> 00:05:33,230 graphs as well. 97 00:05:33,240 --> 00:05:35,610 So that's just something to take into account. 98 00:05:36,200 --> 00:05:37,010 Okay, So there we go. 99 00:05:37,020 --> 00:05:38,490 That's the area graph. 100 00:05:38,520 --> 00:05:40,060 I'm going to conclude the lesson there. 101 00:05:40,080 --> 00:05:41,220 I will see you in the next one. 10362

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