Would you like to inspect the original subtitles? 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
Can't find what you're looking for?
Get subtitles in any language from opensubtitles.com, and translate them here.