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These are the user uploaded subtitles that are being translated: 1 00:00:05,450 --> 00:00:09,320 So our sales manager is back again and he's got some further questions. 2 00:00:09,320 --> 00:00:13,130 And these are going to require some filtering of data to give him the answers. 3 00:00:13,730 --> 00:00:16,760 So I've deleted the pages that we were just using for the filters. 4 00:00:16,760 --> 00:00:20,630 But for this one, what I'm going to do is actually just create a new page and we're just going to call 5 00:00:20,630 --> 00:00:22,730 this off full to activity. 6 00:00:23,180 --> 00:00:29,510 Let's just try that again into renaming and we're going to say this is going to be our full to activity. 7 00:00:30,380 --> 00:00:34,040 Guess at the first question we've been asked is how many cities have a profit? 8 00:00:34,040 --> 00:00:37,190 Over 150,000, and what is the total profit? 9 00:00:37,610 --> 00:00:38,210 Right. 10 00:00:38,210 --> 00:00:41,240 So basically we're going to be using tables. 11 00:00:41,240 --> 00:00:45,020 So let's select a table quite nice and big. 12 00:00:45,530 --> 00:00:49,490 We want our cities in there and we also need our profit. 13 00:00:50,500 --> 00:00:50,770 Right. 14 00:00:50,770 --> 00:00:53,860 So the question is how many of these cities actually have a profit? 15 00:00:53,860 --> 00:00:55,900 Over 150,000. 16 00:00:56,050 --> 00:00:57,430 So I'm I'm going to be doing counting. 17 00:00:57,430 --> 00:01:00,350 So I'm actually just going to add another version of my city. 18 00:01:00,370 --> 00:01:03,850 And we're going to set that to a distinct count so I can actually count. 19 00:01:04,090 --> 00:01:05,530 So we can see there's a lot of cities. 20 00:01:05,530 --> 00:01:08,410 We've got 263 cities in total. 21 00:01:09,050 --> 00:01:09,340 Okay. 22 00:01:09,370 --> 00:01:11,560 Let's find out how many have a profit. 23 00:01:11,560 --> 00:01:13,030 Over 150,000. 24 00:01:13,060 --> 00:01:15,340 So in this case, I can use my sum of profit. 25 00:01:15,340 --> 00:01:16,900 So I'm going to go into my filters. 26 00:01:17,140 --> 00:01:22,210 And going to go is not less than in this case we want it's greater than. 27 00:01:22,420 --> 00:01:25,270 So we're going to say it's greater than 150,000. 28 00:01:27,470 --> 00:01:28,820 And we're going to apply the filter. 29 00:01:29,390 --> 00:01:35,690 And we can see now that there's 19 cities that have a profit, over 150,000, and their total profit 30 00:01:35,690 --> 00:01:39,560 is 16,277,215. 31 00:01:39,950 --> 00:01:41,080 Let's look at the next one. 32 00:01:41,090 --> 00:01:44,690 What is the total profit for cities that begin with the letter SE? 33 00:01:45,380 --> 00:01:48,440 So I'm just going to remove that sum of profit filter. 34 00:01:48,650 --> 00:01:50,630 We're going to go back to our list of cities. 35 00:01:51,140 --> 00:01:55,130 And in this case, I'm going to use a more advanced filtering because we want to find everything that 36 00:01:55,130 --> 00:01:57,230 starts with the letter SE. 37 00:01:57,350 --> 00:02:01,940 So we're going to say start with, say, SE and apply the filter on that. 38 00:02:02,550 --> 00:02:08,240 In this case, it tells me there are 23 cities that start with the letter s and its total profit is 39 00:02:08,240 --> 00:02:11,840 $3,211,670. 40 00:02:12,990 --> 00:02:14,510 Okay, We've got a new table to create. 41 00:02:14,520 --> 00:02:17,790 We're going to create a table displaying the sales for each product name. 42 00:02:18,000 --> 00:02:22,350 What is the total sales for audio product category and how many products are in there? 43 00:02:22,950 --> 00:02:24,870 So a couple of things to change there. 44 00:02:25,380 --> 00:02:26,280 Let's just delete that. 45 00:02:26,280 --> 00:02:27,960 Let's start with a new table. 46 00:02:28,080 --> 00:02:33,540 And again, it's just a big a lot of products. 47 00:02:33,750 --> 00:02:36,960 And we also need to know what is the sales values. 48 00:02:37,740 --> 00:02:39,270 Drop that in there as well. 49 00:02:39,670 --> 00:02:43,350 In this case, we want to know for the audio product category. 50 00:02:43,860 --> 00:02:44,880 And how many. 51 00:02:44,880 --> 00:02:46,230 So I know I'm going to be counting. 52 00:02:46,230 --> 00:02:49,800 So let's just add the product name again to our distinct count. 53 00:02:50,880 --> 00:02:51,950 And there we go. 54 00:02:51,960 --> 00:02:55,320 We should see this 1638 products, which is correct. 55 00:02:56,250 --> 00:03:00,450 So we're going to be using the data fields because we don't actually have the product category at the 56 00:03:00,450 --> 00:03:01,110 moment. 57 00:03:01,280 --> 00:03:04,490 So we're going to drop that in there at data fields. 58 00:03:04,500 --> 00:03:07,800 And in this case, we just want to know for the audio product category. 59 00:03:08,400 --> 00:03:17,160 So we can see that there's actually 106 products and the total sales is 1,029,381. 60 00:03:18,180 --> 00:03:18,570 Right. 61 00:03:18,600 --> 00:03:20,700 The next question is also about product names. 62 00:03:20,700 --> 00:03:27,210 So it wants to know how many products contain the word TOSO and have sales greater than 100,000. 63 00:03:28,140 --> 00:03:31,870 So we can stick with product name and sales, so we can actually stick with this table. 64 00:03:31,890 --> 00:03:33,930 We're just going to remove this filter. 65 00:03:34,170 --> 00:03:37,800 Actually, we can delete the filter because product category is not needed. 66 00:03:37,920 --> 00:03:42,480 And in this case we said the product name needs to contain. 67 00:03:42,690 --> 00:03:47,580 We're going to be using an advanced filter contains the word contain. 68 00:03:47,830 --> 00:03:50,020 So so we're going to say column two. 69 00:03:50,040 --> 00:03:52,500 So we spelled that correctly. 70 00:03:52,650 --> 00:03:53,520 Our filter. 71 00:03:53,550 --> 00:03:54,140 There we go. 72 00:03:54,150 --> 00:03:56,260 We've got 536 products. 73 00:03:56,280 --> 00:04:02,040 However, anyone those that have sales greater than 100,000, let's just collapse that. 74 00:04:02,460 --> 00:04:03,900 Let's go to our sales. 75 00:04:04,700 --> 00:04:09,350 And in this case we want to say is greater than I'm going to say 100,000. 76 00:04:11,020 --> 00:04:11,890 If I fall to. 77 00:04:12,970 --> 00:04:13,630 And there we go. 78 00:04:13,780 --> 00:04:16,899 We've actually got 14 products that meet that criteria. 79 00:04:18,130 --> 00:04:19,209 The next one is a date one. 80 00:04:19,209 --> 00:04:25,120 So it wants to know what was the total sales for the 1st of January 2013 to the 30th of June 2013? 81 00:04:25,720 --> 00:04:28,960 So again, going to remove those filters. 82 00:04:29,470 --> 00:04:30,790 If you take that out. 83 00:04:32,790 --> 00:04:39,120 And I could do here is actually I don't need my product name and my I just need my total sales. 84 00:04:39,360 --> 00:04:42,960 So let's keep that and there's no filters. 85 00:04:42,960 --> 00:04:44,940 So we're just going to bring our audit data in. 86 00:04:45,570 --> 00:04:49,620 And in this case, we want a advanced because we want it between two dates. 87 00:04:49,830 --> 00:04:54,510 So in this case, we want to say is on or after 1st of January. 88 00:04:54,510 --> 00:04:57,330 So we're going to set one slash. 89 00:04:58,450 --> 00:05:00,640 One, 2013. 90 00:05:01,690 --> 00:05:07,810 And also is on for the 30th of June. 91 00:05:07,810 --> 00:05:09,760 So 36. 92 00:05:10,710 --> 00:05:12,600 2013. 93 00:05:12,780 --> 00:05:16,350 So hopefully I got my dates correct, formatting the filter. 94 00:05:16,530 --> 00:05:22,110 And you can see that the total is 8,359,314. 95 00:05:22,890 --> 00:05:23,250 Okay. 96 00:05:23,250 --> 00:05:28,560 Our last question, How many countries sold over 50 different types of products? 97 00:05:29,190 --> 00:05:29,580 Okay. 98 00:05:29,640 --> 00:05:32,060 So let's change this again. 99 00:05:32,070 --> 00:05:34,110 So let's remove that audit date. 100 00:05:34,500 --> 00:05:38,880 And we need to know in this case, it's country. 101 00:05:40,200 --> 00:05:41,610 And it's product name. 102 00:05:41,610 --> 00:05:45,660 So we need to know how many products have been sold in each country. 103 00:05:45,660 --> 00:05:48,600 So remember, we use that distinct count earlier for this. 104 00:05:48,960 --> 00:05:54,330 So we're now counting the number of products per country, but we only want to know how many countries 105 00:05:54,330 --> 00:05:55,410 had over 50. 106 00:05:55,440 --> 00:05:58,110 So again, I'm going to need to count my countries. 107 00:05:58,680 --> 00:06:00,090 Let's just drop that in there. 108 00:06:00,900 --> 00:06:02,580 Let's go count distinct. 109 00:06:03,090 --> 00:06:08,900 We've got 34 countries, but we need to know the count of the product name is actually over 50. 110 00:06:08,910 --> 00:06:14,900 So we go count product name and in this case is saying greater then we want to say is over 50. 111 00:06:14,910 --> 00:06:16,800 So we'll select that apply filter. 112 00:06:17,160 --> 00:06:22,860 So it looks like there's 17 countries that had over 50 product names. 113 00:06:23,280 --> 00:06:24,120 So there we go. 114 00:06:24,120 --> 00:06:29,310 There's the answers that for our sales manager, we're going to conclude the activity and I'll see you 115 00:06:29,310 --> 00:06:30,180 in the next lesson. 9928

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