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These are the user uploaded subtitles that are being translated: 1 00:00:00,240 --> 00:00:03,464 A really important design principle is visual hierarchy, so 2 00:00:03,464 --> 00:00:06,320 let's explore what it is we mean by visual hierarchy. 3 00:00:07,680 --> 00:00:12,190 In this most excellent map that I just absolutely am super proud of and 4 00:00:12,190 --> 00:00:14,975 think is amazing, sarcasm alert. 5 00:00:14,975 --> 00:00:19,100 Okay, the [LAUGH], why am I telling you all this? 6 00:00:19,100 --> 00:00:23,142 The point here is that one of the problems with this map, one of the many, 7 00:00:23,142 --> 00:00:25,349 is that it has a poor visual hierarchy. 8 00:00:25,349 --> 00:00:27,335 And what do we mean visual hierarchy? 9 00:00:27,335 --> 00:00:31,520 What we're talking about is the relative importance of things on the map. 10 00:00:31,520 --> 00:00:34,004 So just like if you're looking at the Mona Lisa, and 11 00:00:34,004 --> 00:00:37,165 it should be obvious that you're meant to look at her face first and 12 00:00:37,165 --> 00:00:40,947 get an idea of the information that's there about her expression or whatever, 13 00:00:40,947 --> 00:00:44,278 when you look at a map like this, your brain is trying to say to itself, 14 00:00:44,278 --> 00:00:47,013 what's important here, what am I supposed to focus on? 15 00:00:47,013 --> 00:00:51,072 And so, when you do this, the fact that this area is this really super high 16 00:00:51,072 --> 00:00:54,738 contrast certainly makes it stand out from everything around it, 17 00:00:54,738 --> 00:00:58,215 so your eye is drawn to that, so in a way, that's a good thing. 18 00:00:58,215 --> 00:01:03,873 But within the map itself, it all looks too bright, too contrasty, so you don't 19 00:01:03,873 --> 00:01:08,971 know, am I supposed to be looking over here, over here, is it this part? 20 00:01:08,971 --> 00:01:13,486 There is no kind of visual connection or contrast or information there. 21 00:01:13,486 --> 00:01:17,820 It's just sort of this blah, it's just sort of all yelling at me at once. 22 00:01:17,820 --> 00:01:21,416 And so, there's no indication of what's more or 23 00:01:21,416 --> 00:01:24,422 less important within that mapped area. 24 00:01:24,422 --> 00:01:29,497 Then, you also have things like the fact that this north arrow was too large. 25 00:01:29,497 --> 00:01:32,709 So it's more important if you think of a size in being 26 00:01:32,709 --> 00:01:37,089 in relation to importance on a map, so the larger something is on a map, 27 00:01:37,089 --> 00:01:40,380 the more important your brain might think that it is. 28 00:01:40,380 --> 00:01:42,888 And so, when it sees this really big symbol down on the corner here, 29 00:01:42,888 --> 00:01:45,704 it thinks this must be important, and it's like, well, not really, 30 00:01:45,704 --> 00:01:47,391 it's just telling you what direction it is. 31 00:01:47,391 --> 00:01:50,223 Same thing with the scale is that it's too large so 32 00:01:50,223 --> 00:01:54,552 it has too much visual importance, it's too high in the visual hierarchy. 33 00:01:54,552 --> 00:01:57,639 In other words, when your brain is looking at this map it's going, okay, 34 00:01:57,639 --> 00:02:00,286 there is this gigantic, awful looking thing in the middle, but 35 00:02:00,286 --> 00:02:03,004 then I'm supposed to look at this or am I supposed to look at that? 36 00:02:03,004 --> 00:02:06,268 Or maybe I'm supposed to go up there, or maybe I'm supposed to look at that, but 37 00:02:06,268 --> 00:02:08,433 that's really too small, so the title is not clear. 38 00:02:08,433 --> 00:02:10,152 You get the idea, I'm hoping, 39 00:02:10,152 --> 00:02:13,971 is that there's not a clear sense of what's the subject of the map, and 40 00:02:13,971 --> 00:02:18,880 what is the things that are just meant to be there in background if we need them. 41 00:02:18,880 --> 00:02:23,484 This better version of the map, l hope, has a better visual hierarchy, 42 00:02:23,484 --> 00:02:25,382 at least l think that it does. 43 00:02:25,382 --> 00:02:28,124 The geographic area is certainly prominent, 44 00:02:28,124 --> 00:02:30,091 it's in the center of the map, so 45 00:02:30,091 --> 00:02:35,099 in terms of its location we're being told that that's the thing we should focus on. 46 00:02:35,099 --> 00:02:38,603 And then it's higher contrast than the areas around it so 47 00:02:38,603 --> 00:02:42,115 that helps us to know that we're supposed to focus on it. 48 00:02:42,115 --> 00:02:44,676 This area, in the downtown especially, 49 00:02:44,676 --> 00:02:49,578 is darker because it's a higher value, so that helps us focus on that part, and 50 00:02:49,578 --> 00:02:54,333 we have a gradation of values from, say, here out to here, so that gradation 51 00:02:54,333 --> 00:02:59,060 tells us that there's a hierarchy of higher values and lower values. 52 00:02:59,060 --> 00:03:01,230 We have a nice prominent title here, so it's easy for 53 00:03:01,230 --> 00:03:05,150 people to interpret that they should be looking at that, that that's important. 54 00:03:05,150 --> 00:03:06,080 And then so on. 55 00:03:06,080 --> 00:03:10,240 And so things like the scale and the legend are much smaller, so 56 00:03:10,240 --> 00:03:12,610 they're less important, they're lower on the visual hierarchy. 57 00:03:12,610 --> 00:03:17,100 And I actually made them a similar blue to the water so that they're there but 58 00:03:17,100 --> 00:03:17,640 they're subtle. 59 00:03:17,640 --> 00:03:21,281 So if somebody wants to know about that information there, it's there, but 60 00:03:21,281 --> 00:03:23,241 it's not too big, it's not too bright, 61 00:03:23,241 --> 00:03:26,841 it's not distracting people from what they're supposed to be looking at. 62 00:03:26,841 --> 00:03:30,859 So this has a stronger or more well developed visual hierarchy in that it's 63 00:03:30,859 --> 00:03:34,303 easy for somebody, whether they're thinking about it or not, 64 00:03:34,303 --> 00:03:37,235 to know what it is that they're supposed to focus on and 65 00:03:37,235 --> 00:03:40,203 what are the things they're not supposed to focus on. 66 00:03:40,203 --> 00:03:45,630 Hierarchical organization is a way of visually indicating relative importance. 67 00:03:45,630 --> 00:03:49,616 We're trying to show similarities, differences and relationships. 68 00:03:49,616 --> 00:03:50,648 So what do I mean by that? 69 00:03:50,648 --> 00:03:54,157 So, for example, if you are looking at a map with cities on it, 70 00:03:54,157 --> 00:03:58,084 similarities might be the status of those in terms of capital cities. 71 00:03:58,084 --> 00:04:02,741 You might have, say, Washington DC, and Ottawa is the capital of Canada, and so 72 00:04:02,741 --> 00:04:04,849 they might be indicated with stars. 73 00:04:04,849 --> 00:04:08,630 And what we're indicating there is that they are both capital cities, 74 00:04:08,630 --> 00:04:12,868 they're national capitals, and so, we would have the same symbol for those. 75 00:04:12,868 --> 00:04:16,992 Maybe we'd have a different signal for state or provincial capitals and 76 00:04:16,992 --> 00:04:21,792 then another symbol for regular cities, another symbol for towns, another one for 77 00:04:21,792 --> 00:04:22,480 villages. 78 00:04:22,480 --> 00:04:25,846 And so we're trying to show people that if they have the same symbol there's 79 00:04:25,846 --> 00:04:29,579 a similarity, they're in the same class, if they have different symbols there's 80 00:04:29,579 --> 00:04:33,386 a difference between those and that that's obvious and there may be a relationship. 81 00:04:33,386 --> 00:04:38,445 And so, it could be that it's like this different status in terms of a national 82 00:04:38,445 --> 00:04:42,966 capital, a state or provincial capital, a smaller city, and so on, 83 00:04:42,966 --> 00:04:47,900 and so that would be a relationship in relation to its status and to its size. 84 00:04:49,000 --> 00:04:51,408 All right, we can do this in lots of different ways, but 85 00:04:51,408 --> 00:04:53,731 it could be through colors or the thickness of lines. 86 00:04:53,731 --> 00:04:56,900 There's lots of techniques for this and we'll talk about some of them, but 87 00:04:56,900 --> 00:04:59,968 the main thing I want you to kind of take from this is that those are the things 88 00:04:59,968 --> 00:05:03,189 we're looking for, similarities, differences, and relationships when 89 00:05:03,189 --> 00:05:06,289 we're looking at somebody else's map or when we're designing our own. 90 00:05:07,720 --> 00:05:09,372 For trying to establish visual hierarchy, 91 00:05:09,372 --> 00:05:11,070 there's different ways that we can do that. 92 00:05:11,070 --> 00:05:16,100 So, for example, here we have three different squares. 93 00:05:16,100 --> 00:05:19,023 And [LAUGH] I know I use these really simple examples, 94 00:05:19,023 --> 00:05:20,690 but I want them to be obvious. 95 00:05:20,690 --> 00:05:24,080 I want you to kind of get what I'm saying really easily, right? 96 00:05:24,080 --> 00:05:26,140 But there is more accurate than you think. 97 00:05:26,140 --> 00:05:28,668 So, for example, what do we see about these? 98 00:05:28,668 --> 00:05:30,809 All right, they're three different sizes. 99 00:05:30,809 --> 00:05:33,625 So remember, we were just talking about similarities, differences, and 100 00:05:33,625 --> 00:05:34,288 relationships. 101 00:05:34,288 --> 00:05:35,933 So what's similar about these? 102 00:05:35,933 --> 00:05:39,479 Well, they're the same shape and in the same color. 103 00:05:39,479 --> 00:05:41,677 So that might be something we could use to our advantage. 104 00:05:41,677 --> 00:05:47,122 So maybe they're all, I don't know, shopping malls, something like that. 105 00:05:47,122 --> 00:05:51,875 So we're trying to indicate to somebody that these symbols represent 106 00:05:51,875 --> 00:05:54,300 a particular class of data, okay? 107 00:05:54,300 --> 00:05:55,451 What's the difference between them? 108 00:05:55,451 --> 00:05:57,298 The only difference is the size. 109 00:05:57,298 --> 00:06:02,242 So, maybe it's the number of customers that visit different shopping malls, 110 00:06:02,242 --> 00:06:06,910 so we can indicate a difference between these based on just this one thing. 111 00:06:06,910 --> 00:06:07,659 And by the way, 112 00:06:07,659 --> 00:06:11,190 what we're talking about here are what we would call visual variables. 113 00:06:11,190 --> 00:06:14,967 We can vary these things visually in order to communicate things. 114 00:06:14,967 --> 00:06:18,252 So already we're talking about shape, size and color, 115 00:06:18,252 --> 00:06:21,879 these are three visual variables that we can work with to try and 116 00:06:21,879 --> 00:06:24,700 convey information in an efficient way, okay? 117 00:06:24,700 --> 00:06:28,299 So here we've kept two of the variables constant, shape and color, and 118 00:06:28,299 --> 00:06:30,880 we've only varied one of those with size. 119 00:06:30,880 --> 00:06:35,390 Now, what I haven't said to you is which of these three would you use to represent 120 00:06:35,390 --> 00:06:38,140 more customers in a shopping mall and 121 00:06:38,140 --> 00:06:41,140 which would you use to indicate fewer customers. 122 00:06:41,140 --> 00:06:46,113 Well, I'm hoping that it's fairly obvious that the small square would 123 00:06:46,113 --> 00:06:51,510 represent a lower value and the larger square would represent a higher value. 124 00:06:51,510 --> 00:06:55,591 Again, it may seem obvious, but a lot of times it may not be that clear when you're 125 00:06:55,591 --> 00:06:58,744 making your own map, so you want to use that to your advantage. 126 00:06:58,744 --> 00:07:02,488 People will naturally want to interpret something that way, 127 00:07:02,488 --> 00:07:06,952 and so use the assumptions that they're making to make your map easier for 128 00:07:06,952 --> 00:07:08,259 them to understand. 129 00:07:08,259 --> 00:07:11,645 So we have a gradation here from low to high, so we're showing a relationship. 130 00:07:11,645 --> 00:07:15,933 We already, just with this one simple example, have looked at similarities, 131 00:07:15,933 --> 00:07:17,792 differences and relationships. 132 00:07:17,792 --> 00:07:22,446 So, they're similar in terms of color and shape, they're different in terms of size, 133 00:07:22,446 --> 00:07:25,749 and there's a relationship in terms of value from low to high. 134 00:07:25,749 --> 00:07:26,262 See? 135 00:07:26,262 --> 00:07:27,870 There's actually more there than you might have thought. 136 00:07:30,594 --> 00:07:32,752 Here we're working with a different visual variable. 137 00:07:32,752 --> 00:07:37,600 This is the saturation of the color or how much the color is sort 138 00:07:37,600 --> 00:07:42,367 of a true blue versus one that has more white mixed in with it. 139 00:07:42,367 --> 00:07:45,777 And, again, similarities, differences and relationships, 140 00:07:45,777 --> 00:07:49,745 what's similar now is the size and the shape, what's being varied is the, 141 00:07:49,745 --> 00:07:52,605 if you want to just think of it in general terms, color. 142 00:07:52,605 --> 00:07:56,766 We'll talk about color definitions and components in another section, but for now 143 00:07:56,766 --> 00:08:00,338 if you want to think of it like a lighter blue versus a darker blue, the same 144 00:08:00,338 --> 00:08:04,519 thing's working here, that we can work with this to enhance our visual hierarchy. 145 00:08:06,240 --> 00:08:10,759 We can even use something like a pattern or a texture to do the same thing. 146 00:08:10,759 --> 00:08:15,152 And you'll notice that in all three of these cases we can work 147 00:08:15,152 --> 00:08:19,892 with them to indicate something that's low, either with size or 148 00:08:19,892 --> 00:08:23,339 a lighter shade or a more open grid versus high, 149 00:08:23,339 --> 00:08:28,528 which is a larger square or a darker square or a more dense grid pattern. 150 00:08:28,528 --> 00:08:33,219 So these, again, these are all things that are visual variables that can be used to 151 00:08:33,219 --> 00:08:36,369 help people interpret the data in a way that you intend, 152 00:08:36,369 --> 00:08:39,183 that you want them to see things a certain way, and 153 00:08:39,183 --> 00:08:42,958 that's what helping to establish this idea of visual hierarchy.14496

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