All language subtitles for 014 Percentage Calculations_en

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These are the user uploaded subtitles that are being translated: 1 00:00:05,150 --> 00:00:06,600 Welcome to this lesson. 2 00:00:06,620 --> 00:00:10,910 In this lesson, I'd like to spend a little bit of time just talking about another set of calculations 3 00:00:10,910 --> 00:00:13,330 that we can use in our reports. 4 00:00:13,550 --> 00:00:18,350 Now, when it comes to percentages, there can be really useful to get an alternate view of your data. 5 00:00:18,380 --> 00:00:22,100 Percentages are really a quite an important part of data analysis. 6 00:00:22,130 --> 00:00:27,440 Often we want to know how big something is or how small something is by the percentage that is contributing 7 00:00:27,440 --> 00:00:28,610 towards the total. 8 00:00:28,670 --> 00:00:33,020 So let's have a look and see how we can add some percentages into our calculations. 9 00:00:33,110 --> 00:00:37,790 Now what I'm going to do is I actually want to keep this page one where you're going to be using this 10 00:00:37,790 --> 00:00:40,890 a little bit later in the course when we get to our filters. 11 00:00:40,910 --> 00:00:46,220 So in this case, I'm actually going to add a new page and we'll just start with a blank page. 12 00:00:46,610 --> 00:00:48,950 What I'm going to do is I'm just going to use a table. 13 00:00:48,950 --> 00:00:53,330 And so far in the course, we've been using our manufacturing cells quite a bit, so we should be quite 14 00:00:53,330 --> 00:00:55,040 used to those values. 15 00:00:55,040 --> 00:00:58,150 So let's just create our manufacture and create our sales. 16 00:00:58,160 --> 00:01:01,530 And as I said, we've seen this table quite a bit in the course so far. 17 00:01:01,550 --> 00:01:04,250 So we've got the sum of sales for each of our manufacturer. 18 00:01:04,519 --> 00:01:09,420 The question would be how much does each manufacturer contribute towards the total? 19 00:01:09,440 --> 00:01:11,660 So let's have a look and see how we would do that. 20 00:01:12,080 --> 00:01:17,540 Now, when we go down to our dropdowns, you will see that you get your list of your methods of aggregation, 21 00:01:17,540 --> 00:01:18,620 which we've been through. 22 00:01:18,800 --> 00:01:21,260 We could change it to an average, a min or max. 23 00:01:21,290 --> 00:01:26,120 However, as you move down, you will see that there is an ability to be able to use a show values as 24 00:01:26,120 --> 00:01:27,140 calculation. 25 00:01:27,230 --> 00:01:31,190 So this is quite useful when you go to it, you see a percentage of grand total. 26 00:01:31,220 --> 00:01:37,310 You'll see that your values are automatically calculated now as a percentage contribution rather than 27 00:01:37,310 --> 00:01:39,140 as the actual values themselves. 28 00:01:39,200 --> 00:01:40,100 So there we go. 29 00:01:40,130 --> 00:01:45,320 We've actually now got those percentages so we can see that, for example, fabric, which we know has 30 00:01:45,320 --> 00:01:50,510 got the highest sales, contributes 21.7, 6% of the total amount of sales. 31 00:01:50,690 --> 00:01:53,960 If you wanted to see a datum 7.95%. 32 00:01:54,740 --> 00:01:58,400 Now, when you're putting together your tables, often what you would want to do is you want one to 33 00:01:58,400 --> 00:02:00,590 see your values and your percentages. 34 00:02:00,830 --> 00:02:01,610 Now, it's not a problem. 35 00:02:01,610 --> 00:02:06,410 You'll see now that this field has got the percentage calculation, but you can drag another copy of 36 00:02:06,410 --> 00:02:11,690 sales in and you'll remember that when we put it over the columns and the dark line is shown, this 37 00:02:11,690 --> 00:02:14,420 will tell us where it's going to be inserted into the table. 38 00:02:14,420 --> 00:02:15,650 So I could drop it in there. 39 00:02:15,650 --> 00:02:19,040 And now we have the actual values and the percentages. 40 00:02:19,220 --> 00:02:21,680 And again, you could just change your headings if you wanted to. 41 00:02:21,710 --> 00:02:28,460 You could say, This is my total sales and you could say this one, for example, is my percentage of 42 00:02:28,490 --> 00:02:29,300 sales. 43 00:02:30,530 --> 00:02:32,170 So that right. 44 00:02:32,180 --> 00:02:32,580 There we go. 45 00:02:32,600 --> 00:02:33,860 Percentage of sales. 46 00:02:34,550 --> 00:02:35,050 So there we go. 47 00:02:35,060 --> 00:02:39,200 We got a nice little report now showing us those values. 48 00:02:39,350 --> 00:02:41,960 Let's just see if we can increase this column width slightly. 49 00:02:41,990 --> 00:02:42,650 There we go. 50 00:02:43,160 --> 00:02:46,460 And again, you could use your formatting if you wanted to see that. 51 00:02:47,000 --> 00:02:48,110 So that's one thing we can do. 52 00:02:48,110 --> 00:02:49,700 We can use this in tables. 53 00:02:49,730 --> 00:02:56,400 However, we can also use percentages with our matrices and it does give us some additional functionality. 54 00:02:56,420 --> 00:02:57,790 So let's have a look at that. 55 00:02:57,800 --> 00:03:03,140 And I pop this to the side and let's just use our matrix, create that as a matrix. 56 00:03:03,620 --> 00:03:08,310 And in this case, what I'm going to do is let's use our product category in the row. 57 00:03:08,330 --> 00:03:10,070 And let's use our region. 58 00:03:10,490 --> 00:03:12,650 And again, let's use our cells values. 59 00:03:13,250 --> 00:03:19,040 So again, now we've got a table of data, but obviously there's much more calculations within this. 60 00:03:19,250 --> 00:03:24,950 Now, the first calculation we might be interested in, we may want to know how much does audio and 61 00:03:24,950 --> 00:03:29,420 Asia, i.e. this value over here, contribute towards the total. 62 00:03:29,540 --> 00:03:30,530 So how much? 63 00:03:30,560 --> 00:03:33,950 253,000 contribute towards 55 million. 64 00:03:33,980 --> 00:03:36,650 Now, we can imagine this is not going to be a very big percentage. 65 00:03:36,950 --> 00:03:39,200 Maybe over here we will have a bigger percentage. 66 00:03:39,200 --> 00:03:42,730 If we look at computers in North America, that's 12.4 million. 67 00:03:42,740 --> 00:03:48,680 So first of all, we may want to know how much each of these cells here contributes to the total. 68 00:03:48,980 --> 00:03:54,410 So again, what we can do is we can go to some cells and our drop down and we go to our share values 69 00:03:54,410 --> 00:03:58,490 as now you will see that there is a couple more calculation which we're going to be running through 70 00:03:58,490 --> 00:03:59,310 just now. 71 00:03:59,330 --> 00:04:02,990 So the first one we're going to be looking at is again, percentage of grand total. 72 00:04:03,080 --> 00:04:07,700 So when I click on this, you'll see now that we actually got 0.46%. 73 00:04:07,730 --> 00:04:15,920 So it's telling us that Asia and audio is contributing 0.46% of the total sales, i.e. the 100% sales. 74 00:04:16,190 --> 00:04:20,360 If we looked at computers in North America, as we said, that value was much bigger, but it's actually 75 00:04:20,360 --> 00:04:22,100 22.5%. 76 00:04:22,460 --> 00:04:27,890 So if you took all the values of product category and your regions and you calculated those together, 77 00:04:27,890 --> 00:04:30,260 you would get 100% of your values. 78 00:04:31,070 --> 00:04:35,030 The second part that you will see from this calculation, though, is that if you look at the grand 79 00:04:35,030 --> 00:04:40,640 total for your product category, you'll also take those values and you'll see that that also adds up 80 00:04:40,640 --> 00:04:41,760 to 100%. 81 00:04:41,780 --> 00:04:45,410 So we can see here that audio is contributing 1.86%. 82 00:04:45,410 --> 00:04:48,530 Computers is contributing 38.47%. 83 00:04:48,740 --> 00:04:52,130 So, again, some really interesting information that you're seeing. 84 00:04:52,400 --> 00:04:58,400 We can also see at the bottom that if you took your regions that Asia is contributing 22.41% and North 85 00:04:58,400 --> 00:04:59,540 America 59. 86 00:04:59,540 --> 00:05:02,780 And again, you'll see that those values would add up to 100%. 87 00:05:02,900 --> 00:05:07,440 So literally, we're getting three sets of values being calculated with this calculation. 88 00:05:07,460 --> 00:05:12,290 However, what you might find is you might want to do a little bit more in depth analysis. 89 00:05:12,380 --> 00:05:17,630 Now, let's say, for example, we wanted to look at each of the regions and we wanted to know how much 90 00:05:17,630 --> 00:05:21,590 does each product category contribute to the total of that region. 91 00:05:21,620 --> 00:05:24,880 So now what we could do is we could change our calculation. 92 00:05:24,890 --> 00:05:29,240 So if I went to my share values, as I said, I wanted to see a percentage of column. 93 00:05:29,630 --> 00:05:34,940 Now you'll see that each of my columns at the bottom here is actually calculated to 100%. 94 00:05:35,060 --> 00:05:39,170 However, now what it's doing is it's showing me for each of my product categories, for each of the 95 00:05:39,170 --> 00:05:41,790 regions, how much each one is contributing. 96 00:05:41,810 --> 00:05:46,290 So as you can see for Asia, audio is contributing 2.05%. 97 00:05:46,310 --> 00:05:48,710 Computers 38.59%. 98 00:05:49,190 --> 00:05:53,390 And you could now contrast that across to North America, where audio is contributing a little bit less 99 00:05:53,390 --> 00:05:58,850 at 1.74%, and computers also just slightly less at 38.2%. 100 00:05:59,060 --> 00:06:03,110 So each of these calculations is giving you a different view of your data. 101 00:06:03,350 --> 00:06:05,750 So that is our percentage by column. 102 00:06:05,750 --> 00:06:10,940 And basically what we're able to do now is understand how much each product category is contributing 103 00:06:10,970 --> 00:06:12,230 towards each region. 104 00:06:12,440 --> 00:06:14,270 We may want to look at the opposite side. 105 00:06:14,270 --> 00:06:20,630 We might want to look at each row and understand how much does each region contribute to each product 106 00:06:20,630 --> 00:06:21,400 category. 107 00:06:21,410 --> 00:06:25,970 So in this case, if we were to look at audio, you might want to know how much is Asia contributing, 108 00:06:25,970 --> 00:06:28,730 how much is Europe contributing, how much is North America? 109 00:06:28,850 --> 00:06:32,260 So again, we can change our calculation back to our share values. 110 00:06:32,420 --> 00:06:35,300 And in this case we would use a percentage of row total. 111 00:06:35,630 --> 00:06:39,630 So now we can see that for audio that is 24.66%. 112 00:06:39,830 --> 00:06:45,290 Europe's contributing, 19.96%, and North America 5.38%. 113 00:06:45,350 --> 00:06:51,380 So as you can see, depending on which calculation you're selecting, will depend on which percentage 114 00:06:51,380 --> 00:06:52,350 that is calculated. 115 00:06:52,350 --> 00:06:53,380 And it's very, very powerful. 116 00:06:53,380 --> 00:06:58,370 And the number of calculations that you can get and the insights into your data that will come from 117 00:06:58,370 --> 00:06:59,600 these calculations. 118 00:07:00,130 --> 00:07:00,320 Okay. 119 00:07:00,320 --> 00:07:00,920 So there we go. 120 00:07:00,920 --> 00:07:03,470 There's some percentage calculations for you to play with. 121 00:07:03,500 --> 00:07:06,500 I'm going to conclude this lesson and I will see you in the next one. 12006

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